https://aclweb.org/aclwiki/api.php?action=feedcontributions&user=Pdturney&feedformat=atomACL Wiki - User contributions [en]2024-03-28T18:02:43ZUser contributionsMediaWiki 1.35.2https://aclweb.org/aclwiki/index.php?title=Special_interest_groups&diff=12046Special interest groups2017-11-05T18:41:43Z<p>Pdturney: /* ACL Special Interest groups */</p>
<hr />
<div>* ''You are welcome to use the ACL Wiki for your CL/NLP SIG.'' <br />
* For example, see [[SIGFSM]] and [[SIGBIOMED]].<br />
<br />
<br />
== [[ACL]] Special Interest groups ==<br />
* ACL [http://www.cs.vassar.edu/sigann/ SIGANN] - Linguistic Annotation of Natural Language Corpora for NLP<br />
* ACL [[SIGBIOMED]] - Biomedical Natural Language Processing<br />
* ACL [http://www.aclweb.org/sigdat SIGDAT] - Linguistic data and corpus-based approaches to NLP<br />
* ACL & ISCA [http://www.sigdial.org/ SIGDIAL] - Discourse and Dialogue Processing<br />
* ACL [[SIGFSM]] - Finite-State Methods<br />
* ACL [[SIGGEN]] - Natural Language Generation<br />
* ACL [http://sighan.cs.uchicago.edu SIGHAN] - Chinese Language Processing<br />
* ACL [http://sighum.science.ru.nl/ SIGHUM] - Language Technologies for the Socio-Economic Sciences and the Humanities<br />
* ACL [http://www.siglex.org/ SIGLEX] - Lexicon<br />
* ACL [http://molweb.org/ SIGMOL] - Mathematics of Language<br />
* ACL [[SIGMORPHON]] - Computational Morphology and Phonology<br />
* ACL [http://www.sigmt.org/ SIGMT] - Machine Translation<br />
* ACL [http://www.aclweb.org/signll SIGNLL] - Natural Language Learning<br />
* ACL [http://www.aclweb.org/sigparse SIGPARSE] - Natural Language Parsing<br />
* ACL [http://www.sigsem.org SIGSEM] - Computational Semantics<br />
* ACL [http://www.sigwac.org.uk/ SIGWAC] - Web as Corpus<br />
* ACL [http://www.slpat.org/ SIGSLPAT] - Speech & Language Processing for Assistive Technologies<br />
* ACL [http://cl.haifa.ac.il/semitic/ SEMITIC] - Computational Approaches to Semitic Languages<br />
<br />
== Relevant [[ACM]] Special Interest Groups ==<br />
* ACM [http://sigart.acm.org/ SIGART] - Artificial Intelligence<br />
* ACM [http://www.sigchi.org/ SIGCHI] - Computer-Human Interaction<br />
* ACM [http://www.sigdoc.org/ SIGDOC] - Design of Communication<br />
* ACM [http://www.sigir.org/ SIGIR] - Information Retrieval<br />
* ACM [http://www.sigmm.org/ SIGMM] - Multimedia<br />
* ACM [http://www.sigweb.org/ SIGWEB] - Hypertext, Hypermedia and the Web<br />
<br />
== Relevant [[ISCA]] Special Interest Groups ==<br />
* ISCA [http://ixa2.si.ehu.es/saltmil/ SALTMIL] - Speech and Language Technology for Minority Languages<br />
* ISCA [http://www.cs.cmu.edu/%7Emax/mainpage_files/SLATE.htm SLATE] - Speech and Language Technology in Education<br />
<br />
==See also==<br />
* [[Newsgroups, mailing lists]]<br />
<br />
==External links==<br />
* [http://www.aclweb.org/index.php?option=com_content&task=view&id=17&Itemid=28 ACL SIGs]<br />
* [http://www.acm.org/sigs/ ACM SIGs]<br />
* [http://www.isca-speech.org/sig.html ISCA SIGs]<br />
<br />
[[Category:Special Interest groups]]</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=List_of_resources_by_language&diff=12045List of resources by language2017-11-05T18:38:54Z<p>Pdturney: /* G */</p>
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<div>List of pages which give links and commentary on computational resources by language.<br />
<br />
Quick links:<br />
<br />
* [[Resources for English]]<br />
* [[Multilingual resources|Resources for Multilingual Applications]]<br />
<br />
See also:<br />
<br />
* [http://www.ethnologue.com/ Ethnologue: Languages of the World]<br />
* [[Language Identification Tools]]<br />
<br />
<br />
==A==<br />
__NOTOC__<br />
{{compactTOC2}}<br />
* [[Resources for Albanian]]<br />
* [[Resources for Amharic]]<br />
* [[Resources for Arabic]]<br />
* [[Resources for Afrikaans]]<br />
<br />
==B==<br />
__NOTOC__<br />
{{compactTOC2}}<br />
* [[Resources for Basque]]<br />
* [[Resources for Bulgarian]]<br />
* [[Resources for Breton]]<br />
<br />
==C==<br />
__NOTOC__<br />
{{compactTOC2}}<br />
* [[Resources for Catalan]]<br />
* [[Resources for Chinese]]<br />
* [[Resources for Coptic]]<br />
* [[Resources for Croatian]] (see also [[Resources for Serbian]], [[Resources for Bosnian]], [[Resources for Serbo-Croatian]])<br />
* [[Resources for Czech]]<br />
<br />
==D==<br />
__NOTOC__<br />
{{compactTOC2}}<br />
* [[Resources for Danish]]<br />
* [[Resources for Dutch]]<br />
<br />
==E==<br />
__NOTOC__<br />
{{compactTOC2}}<br />
* [[Resources for English]]<br />
* [[Resources for Esperanto]]<br />
* [[Resources for Estonian]]<br />
<br />
==F==<br />
__NOTOC__<br />
{{compactTOC2}}<br />
* [[Resources for Faroese]]<br />
* [[Resources for Finnish]]<br />
* [[Resources for French]]<br />
<br />
==G==<br />
__NOTOC__<br />
{{compactTOC2}}<br />
* [[Resources for Galician]]<br />
* [[Resources for Georgian]]<br />
* [[Resources for German]]<br />
* [[Resources for Greek]]<br />
* [[Resources for Greenlandic]]<br />
* [[Resources for Guarani]]<br />
<br />
==H==<br />
__NOTOC__<br />
{{compactTOC2}}<br />
* [[Resources for Haitian]]<br />
* [[Resources for Hebrew]]<br />
* [[Resources for Hindi]]<br />
* [[Resources for Hungarian]]<br />
<br />
==I==<br />
__NOTOC__<br />
{{compactTOC2}}<br />
* [[Resources for Icelandic]]<br />
* [[Resources for Indonesian]]<br />
* [[Resources for Inuktitut]]<br />
* [[Resources for Iñupiaq]]<br />
* [[Resources for Iranian]]<br />
* [[Resources for Italian]]<br />
* [[Resources for Irish]]<br />
<br />
==J==<br />
__NOTOC__<br />
{{compactTOC2}}<br />
* [[Resources for Japanese]]<br />
<br />
==K==<br />
__NOTOC__<br />
{{compactTOC2}}<br />
* [[Resources for Kannada]]<br />
* [[Resources for Korean]]<br />
* [[Resources for Komi]]<br />
* [[Resources for Kurdish]]<br />
<br />
==L==<br />
__NOTOC__<br />
{{compactTOC2}}<br />
* [[Resources for Lithuanian]]<br />
<br />
==M==<br />
__NOTOC__<br />
{{compactTOC2}}<br />
* [[Resources for Macedonian]]<br />
* [[Resources for Malay]]<br />
* [[Resources for Maltese]]<br />
* [[Resources for Montenegrin]]<br />
* [[Multilingual resources|Resources for Multilingual Applications]]<br />
<br />
==N==<br />
__NOTOC__<br />
{{compactTOC2}}<br />
* [[Resources for Norwegian]]<br />
* [[Resources for Navajo]]<br />
<br />
==O==<br />
__NOTOC__<br />
{{compactTOC2}}<br />
* [[Resources for Occitan]]<br />
<br />
==P==<br />
__NOTOC__<br />
{{compactTOC2}}<br />
* [[Resources for Pashto]]<br />
* [[Resources for Persian]]<br />
* [[Resources for Polish]]<br />
* [[Resources for Portugese]]<br />
* [[Resources for Punjabi]]<br />
<br />
==Q==<br />
__NOTOC__<br />
{{compactTOC2}}<br />
* [[Resources for Quechua]]<br />
<br />
==R==<br />
__NOTOC__<br />
{{compactTOC2}}<br />
* [[Resources for Romanian]]<br />
* [[Resources for Russian]]<br />
<br />
==S==<br />
__NOTOC__<br />
{{compactTOC2}}<br />
* [[Resources for Sámi]]<br />
* [[Resources for Sanskrit]]<br />
* [[Resources for Slovak]]<br />
* [[Resources for Slovenian]]<br />
* [[Resources for Sorbian]]<br />
* [[Resources for Spanish]]<br />
* [[Resources for Swahili]]<br />
* [[Resources for Swedish]]<br />
<br />
==T==<br />
__NOTOC__<br />
{{compactTOC2}}<br />
* [[Resources for Tajik]]<br />
* [[Resources for Tamil]]<br />
* [[Resources for Tatar]]<br />
* [[Resources for Telugu]]<br />
* [[Resources for Thai]]<br />
* [[Resources for Tigrinya]]<br />
* [[Resources for Turkish]]<br />
<br />
==U==<br />
__NOTOC__<br />
{{compactTOC2}}<br />
* [[Resources for Ukrainian]]<br />
* [[Resources for Urdu]]<br />
<br />
==V==<br />
__NOTOC__<br />
{{compactTOC2}}<br />
* [[Resources for Vietnamese]]<br />
<br />
==W==<br />
__NOTOC__<br />
{{compactTOC2}}<br />
* [[Resources for Welsh]]<br />
<br />
==Z==<br />
__NOTOC__<br />
{{compactTOC2}}<br />
* [[Resources for Zulu]]<br />
<br />
==See also==<br />
<br />
* [[Resources for African languages]]<br />
<br />
[[Category:Resources by language|*]]</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=SIGBIOMED&diff=12044SIGBIOMED2017-11-05T18:35:41Z<p>Pdturney: /* Workshop Proceedings */</p>
<hr />
<div>__NOTOC__<br />
<br />
<h1>ACL Special Interest Group on Biomedical Natural Language Processing </h1><br />
<br />
<br />
<h4 style="width:85%;margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:left;color:#000;padding:0.2em 0.4em;">Welcome to the home page for the Biomedical Natural Language Processing Special Interest Group of the Association for Computational Linguistics (ACL). This SIG is dedicated to language processing in the biological, biomedical, and clinical domain.<br />
<br />
<br />
Biomedical language processing poses specific technical challenges that make it of interest to general NLP practitioners and make it of compelling importance to the larger field of biomedical informatics. The purpose of the BioMed SIG is to bring together researchers in NLP, bioinformatics, medical informatics, and computational biology, providing a venue (both wiki and workshop) for the promotion and dissemination of original research in this area.</h4><br />
<br />
<br />
<br />
<!-- <div style="width:85%;margin:0;font-size:120%;text-align:left;"> Election of SIG Officers </div><br />
<div style="width:85%;margin:0;font-size:120%;text-align:left;"> Nominating committee for the 2016 BioNLP elections: Nigel Collier, Zhiyong Lu, Kirk Roberts.<br><br />
Please contact the nominating committee members to nominate candidates for the SIG chair and secretary positions.<br />
The candidates must be ACL members in good standing of the SIG. The nominators must be members in good standing of the SIG.<br />
The voting period will begin once the final slate of candidates and voting instructions are announced and no later than July 1st.<br />
The voting closes on July 31st, The results will be announced at the BioNLP workshop on August 12th. <br />
</div> --><br />
<br />
== Upcoming Events ==<br />
<br />
<!-- <div style="width:85%;margin:0;font-size:120%;text-align:left;"> [[BioNLP_Workshop|BioNLP 2017 Workshop and Shared Tasks]] at ACL 2017, August 4, 2017, Vancouver, Canada. </div><br />
<br />
<div style="width:85%;margin:0;font-size:120%;text-align:left;"> [http://www.nactem.ac.uk/biotxtm2016/ Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM2016), December 12, 2016, COLING 2016, Osaka, Japan] </div><br />
<br />
<div style="width:85%;margin:0;font-size:120%;text-align:left;"> [http://text-machine.cs.uml.edu/clinical-nlp-2016 Clinical Natural Language Processing Workshop (ClinicalNLP), December 11, 2016, COLING 2016, Osaka, Japan] </div><br />
<br />
<br />
<br />
<div style="width:85%;margin:0;font-size:120%;text-align:left;"> [[BioNLP_Workshop|BioNLP 2016 Workshop and Shared Tasks]] at ACL 2016, August, 2016, Berlin, Germany. <br />
<br />
<div style="width:85%;margin:0;font-size:120%;text-align:left;"> [http://www.nactem.ac.uk/biotxtm2014/index.php BioTxtM 2014] the Fourth Workshop on Building and Evaluating Resources for Health and Biomedical Text Processing, May 31, 2014, Reykjavík, Iceland </div> --><br />
<!-- <div style="width:85%;margin:0;font-size:120%;text-align:left;"> [[BioNLP_Workshop|BioNLP 2014 Workshop ]] June 26-27, 2014, Baltimore, MD. </div> --><br />
<!-- <div style="width:85%;margin:0;font-size:120%;text-align:left;"> [[BioNLP_Workshop|BioNLP 2015 Workshop ]] at ACL-IJCNLP 2015, July 30, 2015, Beijing, China. --><br />
<br />
== Organization and Governance == <br />
<br />
<div style="width:85%;margin:0;font-size:120%;text-align:left;"> [[SIGBioMed constitution|BioMed SIG Constitution ]]</div><br />
<div style="width:85%;margin:0;font-size:120%;text-align:left;"> [[SigBioMed_officers|Officers and Membership information]]</div><br />
<div style="width:85%;margin:0;font-size:120%;text-align:left;"> [[Sigbiomed_members|The SIGBioMed organizing committee and members]] </div><br />
<br />
== Workshop Proceedings ==<br />
<ul><br />
<br />
<li style="text-align:left;margin-bottom:0.1em;">[http://aclweb.org/anthology/W/W17/#2300 Proceedings of the 2017 Workshop on Biomedical Natural Language Processing] -- [[BioNLP Workshop 2017|BioNLP 2017: schedule, dates, organization]]</li><br />
<li style="text-align:left;margin-bottom:0.1em;">[http://aclweb.org/anthology/W/W16/#2900 Proceedings of the 2016 Workshop on Biomedical Natural Language Processing]</li><br />
<li style="text-align:left;margin-bottom:0.1em;">[https://aclweb.org/anthology/W/W15/#3800 Proceedings of the 2015 Workshop on Biomedical Natural Language Processing]</li><br />
<li style="text-align:left;margin-bottom:0.1em;">[http://acl2014.org/acl2014/W14-34/index.html Proceedings of the 2014 Workshop on Biomedical Natural Language Processing]</li><br />
<li style="text-align:left;margin-bottom:0.1em;">[http://aclweb.org/anthology/W/W13/#1900 Proceedings of the 2013 Workshop on Biomedical Natural Language Processing]</li><br />
<li style="text-align:left;margin-bottom:0.1em;">[http://aclweb.org/anthology/W/W12/#2400 Proceedings of the 2012 Workshop on Biomedical Natural Language Processing]</li><br />
<li style="text-align:left;margin-bottom:0.1em;">[http://aclweb.org/anthology/W/W11/W11-02.pdf Proceedings of the 2011 Workshop on Biomedical Natural Language Processing]</li><br />
<li style="text-align:left;margin-bottom:0.1em;">[http://www.aclweb.org/anthology/W/W10/#1900 Proceedings of the 2010 Workshop on Biomedical Natural Language Processing]</li><br />
<li style="text-align:left;margin-bottom:0.1em;">[https://aclanthology.info/pdf/W/W09/W09-1300.pdf Proceedings of the BioNLP 2009 Workshop]</li><br />
<li style="text-align:left;margin-bottom:0.1em;">[http://aclweb.org/anthology/W09-14 Proceedings of the BioNLP 2009 Workshop Companion Volume] BioNLP'09 shared task on Event Extraction</li><br />
<li style="text-align:left;margin-bottom:0.1em;">[http://www.biomedcentral.com/1471-2105/9?issue=S11 Proceedings of the BioNLP 08 ACL Workshop: Themes in biomedical language processing.] BMC Bioinformatics supplement</li><br />
<li style="text-align:left;margin-bottom:0.1em;">[http://aclweb.org/anthology/W07-10 BioNLP 07.] Biological, translational, and clinical language processing</li><br />
<li style="text-align:left;margin-bottom:0.1em;">[https://aclanthology.info/pdf/W/W06/W06-3300.pdf HLT-NAACL BioNLP 06 Workshop on Linking Natural Language and Biology]</li><br />
<li style="text-align:left;margin-bottom:0.1em;">[http://aclweb.org/anthology/W05-13 ACL-ISMB 2005 Workshop on Linking Biological Literature, Ontologies and Databases: Mining Biological Semantics]</li><br />
<li style="text-align:left;margin-bottom:0.1em;">[https://aclanthology.info/pdf/W/W04/W04-1200.pdf International Joint Workshop on Natural Language Processing in Biomedicine and its Applications (NLPBA/BioNLP 04)]</li><br />
<li style="text-align:left;margin-bottom:0.1em;">[https://aclanthology.info/pdf/W/W03/W03-1300.pdf ACL 2003 Workshop on Natural Language Processing in Biomedicine]</li><br />
<li style="text-align:left;margin-bottom:0.1em;">[https://aclanthology.info/pdf/W/W02/W02-0300.pdf ACL-02 Workshop on Natural Language Processing in the Biomedical Domain]<br />
</li></ul><br />
<br />
== Related Workshop Proceedings ==<br />
<ul><li style="text-align:left;margin-bottom:0.1em;">[http://www.nactem.ac.uk/biotxtm2014/programme.php Fourth Workshop on Building and Evaluating Resources for Health and Biomedical Text Processing (BioTxtM 2014)]<br />
</li></ul></div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=BioNLP_2023&diff=12042BioNLP 20232017-11-05T18:27:36Z<p>Pdturney: Pdturney moved page BioNLP Workshop to BioNLP Workshop 2017</p>
<hr />
<div>[[SIGBIOMED]]<br />
<br />
<font size="4"><b>BIONLP 2017</b></font><br />
<br />
An ACL 2017 Workshop associated with the SIGBIOMED special interest group, featuring an associated task: BioASQ ( http://www.bioasq.org/) <br />
<br />
Vancouver, Canada, Friday August 4, 2017<br />
<br />
<br />
===IMPORTANT DATES===<br />
<br />
*Submission deadline: Wednesday April 26, 2017 11:59 PM Eastern US <br />
*Notification of acceptance: Monday May 22, 2017<br />
*'Camera-ready copy due from authors: Friday May 26, 2017<br />
*'''Workshop: Friday August 4, 2017'''<br />
<br />
==BIONLP 2017 Workshop Schedule==<br />
<br />
<table cellspacing="0" cellpadding="5" border="0"><tr><td colspan=2 style="padding-top: 14px;"><b>Friday August 4, 2017</b></td></tr><br />
<tr><td valign=top style="padding-top: 14px;"><b>8:30&#8211;8:45</b></td><td valign=top style="padding-top: 14px;"><b>Opening remarks</b></td></tr><br />
<tr><td valign=top style="padding-top: 14px;"><b>8:45&#8211;10:30</b></td><td valign=top style="padding-top: 14px;"><b>Session 1: Prediction and relation extraction</b></td></tr><br />
<tr><td valign=top width=100>8:45&#8211;9:00</td><td valign=top align=left><i>Target word prediction and paraphasia classification in spoken discourse<br />
</i><li>Joel Adams, Steven Bedrick, Gerasimos Fergadiotis, Kyle Gorman and Jan van Santen </li><br />
</td></tr><br />
<tr><td valign=top width=100>9:00&#8211;9:15</td><td valign=top align=left><i>Extracting Drug-Drug Interactions with Attention CNNs<br />
</i><li>Masaki Asada, Makoto Miwa, Yutaka Sasaki</li><br />
</td></tr><br />
<tr><td valign=top width=100>9:15&#8211;9:30</td><td valign=top align=left><i>Insights into Analogy Completion from the Biomedical Domain<br />
</i><li>Denis Newman-Griffis, Albert Lai, Eric Fosler-Lussier</li><br />
</td></tr><br />
<tr><td valign=top width=100>9:30&#8211;9:45</td><td valign=top align=left><i>Deep learning for extracting protein-protein interactions from biomedical literature<br />
</i><li>Yifan Peng and Zhiyong Lu </li><br />
</td></tr><br />
<tr><td valign=top width=100>9:45&#8211;10:00</td><td valign=top align=left><i>Stacking With Auxiliary Features for Entity Linking in the Medical Domain<br />
</i><li>Nazneen Fatema Rajani, Mihaela Bornea, Ken Barker</li><br />
</td></tr><br />
<tr><td valign=top style="padding-top: 14px;"><b>10:00&#8211;10:30</b></td><td valign=top style="padding-top: 14px;"><b>Invited Talk: <i>Results of the 5th edition of BioASQ Challenge</i> <br> Speaker: Georgios Paliouras</b></td></tr><br />
<tr><td valign=top style="padding-top: 14px;"><b>10:30&#8211;11:00</b></td><td valign=top style="padding-top: 14px;"><b><em>Coffee Break</em></b></td></tr><br />
<tr><td valign=top style="padding-top: 14px;"><b>11:00&#8211;12:30</b></td><td valign=top style="padding-top: 14px;"><b>Session 2: BioASQ 2017 and more</b></td></tr><br />
<tr><td valign=top width=100>11:00&#8211;11:15</td><td valign=top align=left><i>Tackling Biomedical Text Summarization: OAQA at BioASQ 5B<br />
</i><li> <br />
Khyathi Chandu, Aakanksha Naik, Aditya Chandrasekar, Zi Yang, Niloy Gupta, Eric Nyberg</li><br />
</td></tr><br />
<tr><td valign=top width=100>11:15&#8211;11:30</td><td valign=top align=left><i>Macquarie University at BioASQ 5b -- Query-based Summarisation Techniques for Selecting the Ideal Answers<br />
</i><li>Diego Molla</li><br />
</td></tr><br />
<tr><td valign=top width=100>11:30&#8211;11:45</td><td valign=top align=left><i>Neural Question Answering at BioASQ 5B<br />
</i><li>Georg Wiese, Dirk Weissenborn, Mariana Neves</li><br />
</td></tr><br />
<tr><td valign=top width=100>11:45&#8211;12:00</td><td valign=top align=left><i>End-to-End System for Bacteria Habitat Extraction </i><br />
<li>Farrokh Mehryary, Kai Hakala, Suwisa Kaewphan, Jari Björne, Tapio Salakoski, Filip Ginter</li><br />
</td></tr><br />
<tr><td valign=top width=100>12:00&#8211;12:15</td><td valign=top align=left><i>Creation and evaluation of a dictionary-based tagger for virus species and proteins</i><li><br />
Helen Cook, Rudolfs Berzins, Cristina Leal Rodrıguez, Juan Miguel Cejuela, Lars Juhl Jensen</li><br />
</td></tr><br />
<tr><td valign=top width=100>12:15&#8211;12:30</td><td valign=top align=left><i>Representation of complex terms in a vector space structured by an ontology for a normalization task</i><li> <br />
Arnaud Ferré, Pierre Zweigenbaum, Claire Nédellec</li><br />
</td></tr><br />
<tr><td valign=top style="padding-top: 14px;"><b>12:30&#8211;14:00</b></td><td valign=top style="padding-top: 14px;"><b><em>Lunch break</em></b></td></tr><br />
<tr><td valign=top style="padding-top: 14px;"><b>14:00&#8211;15:30</b></td><td valign=top style="padding-top: 14px;"><b>Session 3: From bio to clinical NLP</b></td></tr><br />
<tr><td valign=top width=100>14:00&#8211;14:15</td><td valign=top align=left><i>Improving Correlation with Human Judgments by Integrating Semantic Similarity with Second--Order Vectors<br />
</i><li>Bridget McInnes and Ted Pedersen</li><br />
</td></tr><br />
<tr><td valign=top width=100>14:15&#8211;14:30</td><td valign=top align=left><i>Proactive Learning for Named Entity Recognition<br />
</i><li>Maolin Li, Nhung Nguyen, Sophia Ananiadou</li><br />
</td></tr><br />
<tr><td valign=top width=100>14:30&#8211;14:45</td><td valign=top align=left><i>Biomedical Event Extraction using Abstract Meaning Representation<br />
</i><li>Sudha Rao, Daniel Marcu, Kevin Knight, Hal Daumé III</li><br />
</td></tr><br />
<tr><td valign=top width=100>14:45&#8211;15:00</td><td valign=top align=left><i>Detecting Personal Medication Intake in Twitter: An Annotated Corpus and Baseline Classification System<br />
</i><li>Ari Klein, Abeed Sarker, Masoud Rouhizadeh, Karen O'Connor, Graciela Gonzalez</li><br />
</td></tr><br />
<tr><td valign=top width=100>15:00&#8211;15:15</td><td valign=top align=left><i>Unsupervised Context-Sensitive Spelling Correction of Clinical Free-Text with Word and Character N-Gram Embeddings<br />
</i><li>Pieter Fivez, Simon Suster, Walter Daelemans</li><br />
</td></tr><br />
<tr><td valign=top width=100>15:15&#8211;15:30</td><td valign=top align=left><i>Characterization of Divergence in Impaired Speech of ALS Patients<br />
</i><li><br />
Archna Bhatia, Bonnie Dorr, Kristy Hollingshead, Samuel L. Phillips, Barbara McKenzie</li><br />
</td></tr><br />
<tr><td valign=top style="padding-top: 14px;"><b>15:30&#8211;16:00</b></td><td valign=top style="padding-top: 14px;"><b><em>Coffee Break</em></b></td></tr><br />
<tr><td valign=top style="padding-top: 14px;"><b>16:00&#8211;16:30</b></td><td valign=top style="padding-top: 14px;"><b>Session 3: More clinical NLP</b></td></tr><br />
<tr><td valign=top width=100>16:00&#8211;16:15</td><td valign=top align=left><i>Deep Learning for Punctuation Restoration in Medical Reports<br />
</i><li>Wael Salloum, Greg Finley, Erik Edwards, Mark Miller, David Suendermann-Oeft</li><br />
</td></tr><br />
<tr><td valign=top width=100>16:15&#8211;16:30</td><td valign=top align=left><i>Unsupervised Domain Adaptation for Clinical Negation Detection<br />
</i><li>Timothy Miller, Steven Bethard, Hadi Amiri, Guergana Savova</li><br />
</td></tr><br />
<tr><td valign=top style="padding-top: 14px;"><b>16:30&#8211;18:00</b></td><td valign=top style="padding-top: 14px;"><b>Poster Session</b></td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>BioCreative VI Precision Medicine Track: creating a training corpus for mining protein-protein interactions affected by mutations</i><li><br />
Rezarta Islamaj Dogan, Andrew Chatr-aryamontri, Sun Kim, Chih-Hsuan Wei, Yifan Peng, Donald Comeau, Zhiyong Lu</li><br />
</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Painless Relation Extraction with Kindred<br />
</i><li>Jake Lever and Steven Jones</li><br />
</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Noise Reduction Methods for Distantly Supervised Biomedical Relation Extraction</i><li>Gang Li, Cathy Wu, K. Vijay-Shanker</li><br />
</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Role-Preserving Redaction of Medical Records to Enable Ontology-Driven Processing </i><li><br />
Seth Polsley, Atif Tahir, Muppala Raju, Akintayo Akinleye, Duane Steward</li><br />
</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Annotation of pain and anesthesia events for surgery-related processes and outcomes extraction</i><li><br />
Wen-wai Yim, Dario Tedesco, Catherine Curtin, Tina Hernandez-Boussard</li><br />
</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Identifying Comparative Structures in Biomedical Text<br />
</i><li>Samir Gupta, A.S.M. Ashique Mahmood, Karen Ross, Cathy Wu, K. Vijay-Shanker</li><br />
</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Tagging Funding Agencies and Grants in Scientific Articles using Sequential Learning Models</i><li><br />
Subhradeep Kayal, Zubair Afzal, George Tsatsaronis, Sophia Katrenko, Pascal Coupet, Marius Doornenbal, Michelle Gregory</li><br />
</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Deep Learning for Biomedical Information Retrieval: Learning Textual Relevance from Click Logs </i><li><br />
Sunil Mohan, Nicolas Fiorini, Sun Kim, Zhiyong Lu</li><br />
</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Detecting Dementia through Retrospective Analysis of Routine Blog Posts by Bloggers with Dementia</i><li><br />
Vaden Masrani, Gabriel Murray, Thalia Field, Giuseppe Carenini</li><br />
</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Protein Word Detection using Text Segmentation Techniques</i><li><br />
Devi Ganesan, Ashish V. Tendulkar, Sutanu Chakraborti</li><br />
</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>External Evaluation of Event Extraction Classifiers for Automatic Pathway Curation: An extended study of the mTOR pathway</i><li><br />
Wojciech Kusa and Michael Spranger</li><br />
</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Toward Automated Early Sepsis Alerting: Identifying Infection Patients from Nursing Notes</i><li><br />
Emilia Apostolova and Tom Velez</li><br />
</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Enhancing Automatic ICD-9-CM Code Assignment for \\Medical Texts with PubMed<br />
</i><li>Danchen Zhang, Daqing He, Sanqiang Zhao, Lei Li</li><br />
</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Evaluating Feature Extraction Methods for Knowledge-based Biomedical Word Sense Disambiguation<br />
</i><li>Sam Henry, Clint Cuffy, Bridget McInnes</li><br />
</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Investigating the Documentation of Electronic Cigarette Use in the Veteran Affairs Electronic Health Record: A Pilot Study<br />
</i><li>Danielle Mowery, Brett South, Olga Patterson, Shu-Hong Zhu, Mike Conway</li><br />
</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i> Automated Preamble Detection in Dictated Medical Reports<br />
</i><li>Wael Salloum, Greg Finley, Erik Edwards, Mark Miller, David Suendermann-Oeft</li><br />
</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>A Biomedical Question Answering System in BioASQ 2017<br />
</i><li>Mourad Sarrouti and Said Ouatik El Alaoui</li><br />
</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Adapting Pre-trained Word Embeddings For Use In Medical Coding<br />
</i><li>Kevin Patel, Divya Patel, Mansi Golakiya, Pushpak Bhattacharyya, Nilesh Birari</li><br />
</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Initializing neural networks for hierarchical multi-label text classification<br />
</i><li>Simon Baker and Anna Korhonen</li><br />
</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Biomedical Event Trigger Identification Using Bidirectional Recurrent Neural Network Based Models<br />
</i><li>Rahul V S S Patchigolla, Sunil Sahu, Ashish Anand</li><br />
</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks<br />
</i><li>Chen Lin, Timothy Miller, Dmitriy Dligach, Steven Bethard, Guergana Savova</li><br />
</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Automatic Diagnosis Coding of Radiology Reports: A Comparison of Deep Learning and Conventional Classification Methods<br />
</i><li>Sarvnaz Karimi, Xiang Dai, Hamedh Hassanzadeh, Anthony Nguyen</li><br />
</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Automatic classification of doctor-patient questions for a virtual patient record query task.<br />
</i><li>Leonardo Campillos Llanos, Sophie Rosset, Pierre Zweigenbaum</li><br />
</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Assessing the performance of Olelo, a real-time biomedical question answering application<br />
</i><li>Mariana Neves, Fabian Eckert, Hendrik Folkerts, Matthias Uflacker</li><br />
</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Clinical Event Detection with Hybrid Neural Architecture<br />
</i><li>Adyasha Maharana</li><br />
</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Extracting Personal Medical Events for User Timeline Construction using Minimal Supervision<br />
</i><li>Aakanksha Naik, Chris Bogart, Carolyn Rose</li><br />
</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Detecting mentions of pain and acute confusion in Finnish clinical text<br />
</i><li>Hans Moen, Kai Hakala, Farrokh Mehryary, Laura-Maria Peltonen, Tapio Salakoski, Filip Ginter, Sanna Salanterä</li><br />
</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>A Multi-strategy Query Processing Approach for Biomedical Question Answering: USTB\_PRIR at BioASQ 2017 Task 5B<br />
</i><li>Zan-Xia Jin, Bo-Wen Zhang, Fan Fang, Le-Le Zhang, Xu-Cheng Yin</li><br />
</td></tr><br />
</table><br />
<br />
<!--<br />
<br />
===SUBMISSION INSTRUCTIONS===<br />
<br />
Two types of submissions are invited: full papers and short papers. <br />
Submissions are due by 11:59 PM EST on Wednesday April 26, 2017. <br />
<br />
Full papers should not exceed eight (8) pages of text, plus two pages of references. These are intended to be reports of original research. BioNLP aims to be the forum for interesting, innovative, and promising work involving biomedicine and language technology, whether or not yielding high performance at the moment. This by no means precludes our interest in and preference for mature results, strong performance, and thorough evaluation. Both types of research and combinations thereof are encouraged. <br />
<br />
Short papers may consist of up to four (4) pages of content, plus unlimited references. Appropriate short paper topics include preliminary results, application notes, descriptions of work in progress, etc.<br />
<br />
Electronic Submission<br />
Submissions must be electronic and in PDF format, using the Softconf START conference management system at https://www.softconf.com/acl2017/bionlp/<br />
We strongly recommend the use of ACL LaTeX style files tailored for this year's conference. Submissions must conform to the official style guidelines. Style files and other information about paper formatting requirements are available on the conference website, http://acl2017.org/. <br />
<br />
Submissions need to be anonymous. <br />
<br />
Dual submission policy: papers may NOT be submitted to the BioNLP 2017 workshop if they are or will be concurrently submitted to another meeting or publication. <br />
<br />
--><br />
===WORKSHOP OVERVIEW AND SCOPE===<br />
<br />
Over the course of the past fifteen years, the ACL BioNLP workshop associated with the SIGBIOMED special interest group has established itself as the primary venue for presenting foundational research in language processing for the biological and medical domains. The workshop serves as both a venue for bringing together researchers in bio- and clinical NLP and exposing these researchers to the mainstream ACL research, and a venue for informing the mainstream ACL researchers about the fast growing and important domain.<br />
The workshop will continue presenting work on a broad and interesting range of topics in NLP.<br />
<br />
The active areas of research include, but are not limited to:<br />
* Entity identification and normalization for a broad range of semantic categories<br />
* Extraction of complex relations and events<br />
* Semantic parsing<br />
* Discourse analysis<br />
* Anaphora /Coreference resolution<br />
* Text mining<br />
* Literature based discovery<br />
* Summarization<br />
* Question Answering<br />
* Resources and novel strategies for system testing and evaluation<br />
* Infrastructures for biomedical text mining<br />
* Processing and annotation platforms<br />
* Translating NLP research to practice<br />
* Theoretical underpinnings of biomedical language processing<br />
* Research Reproducibility <br />
<br />
====Program Committee:====<br />
<br />
* Sophia Ananiadou, National Centre for Text Mining and University of Manchester, UK <br />
* Ion Androutsopoulos, Athens University of Economics and Business, Greece<br />
* Emilia Apostolova, Language.ai, USA<br />
* Eiji Aramaki, University of Tokyo, Japan <br />
* Alan Aronson, US National Library of Medicine <br />
* Asma Ben Abacha, US National Library of Medicine <br />
* Olivier Bodenreider, US National Library of Medicine <br />
* Leonardo Campillos Llanos, LIMSI - CNRS, France<br />
* Juan Miguel Cejuela, Technische Universit&auml;t M&uuml;nchen, Germany<br />
* Kevin Bretonnel Cohen, University of Colorado School of Medicine, USA <br />
* Nigel Collier, University of Cambridge, UK <br />
<!-- * Aaron Cohen, Oregon Health and Science University --><br />
* Dina Demner-Fushman, US National Library of Medicine <br />
<!-- * Patrick Gallinari, Université Pierre et Marie Curie, France --><br />
* Filip Ginter, University of Turku, Finland <br />
* Graciela Gonzalez, University of Pennsylvania, USA<br />
* Cyril Grouin, LIMSI - CNRS, France <br />
* Antonio Jimeno Yepes, IBM, Melbourne Area, Australia<br />
* Aris Kosmopoulos, NCSR Demokritos, Greece<br />
* Halil Kilicoglu, US National Library of Medicine<br />
* Robert Leaman, US National Library of Medicine <br />
<!-- * Ulf Leser, Humboldt-Universit&auml;t zu Berlin, Germany --><br />
* Chris Lu, US National Library of Medicine <br />
* Zhiyong Lu, US National Library of Medicine <br />
* Prodromes Malakasiotis, Athens University of Economics and Business, Greece<br />
* Timothy Miller, Children’s Hospital Boston, USA <br />
* Makoto Miwa, Toyota Technological Institute, Japan <br />
* Diego Molla, Macquarie University, Australia<br />
* Jim Mork, National Library of Medicine, USA<br />
* Danielle L Mowery, VA Salt Lake City Health Care System, USA<br />
* Yassine M'Rabet, US National Library of Medicine<br />
* Henning M&uuml;ller, University of Applied Sciences, Switzerland<br />
* Claire Nédellec, INRA, France<br />
* Anastasios Nentidis, NCSR Demokritos, Athens, Greece <br />
* Aurelie Neveol, LIMSI - CNRS, France <br />
* Mariana Neves, Hasso Plattner Institute and University of Potsdam, Germany<br />
* Nhung Nguyen, The University of Manchester, UK<br />
* Naoaki Okazaki, Tohoku University, Japan <br />
* Georgios Paliouras, NCSR Demokritos, Athens, Greece <br />
* Ioannis Partalas, Viseo group, France<br />
* John Prager, Thomas J. Watson Research Center, IBM, USA<br />
* Sampo Pyysalo, University of Cambridge, UK <br />
<!-- * Bastien Rance, Hopital Europeen Georges Pompidou, France --><br />
* Francisco J. Ribadas-Pena, University of Vigo, Spain<br />
* Fabio Rinaldi, University of Zurich, Switzerland <br />
<!-- * Thomas Rindflescht, US National Library of Medicine --><br />
* Kirk Roberts, The University of Texas Health Science Center at Houston, USA <br />
* Angus Roberts, The University of Sheffield, UK <br />
<!-- * Yoshimasa Tsuruoka, University of Tokyo, Japan --><br />
* Hagit Shatkay, University of Delaware, USA <br />
* Pontus Stenetorp, University College London, UK<br />
<!-- * George Tsatsaronis, Technical University of Dresden, Germany --><br />
* Karin Verspoor, The University of Melbourne, Australia <br />
* Ellen Voorhees, National Institute of Standards and Technology, USA<br />
* Byron C. Wallace, University of Texas at Austin, USA <br />
* W John Wilbur, US National Library of Medicine <br />
* Hai Zhao, Shanghai Jiao Tong University, Shanghai<br />
* Pierre Zweigenbaum, LIMSI - CNRS, France<br />
<br />
====Additional Reviewers:====<br />
<br />
* Moumita Bhattacharya, University of Delaware, USA<br />
* Louise Deleger, INRA - MaIAGE, France<br />
* Lenz Furrer, Institute of Computational Linguistics, UZH, Zurich, Switzerland <br />
* Genevieve Gorrell, Sheffield University, UK <br />
* Ari Klein, University of Pennsylvania School of Medicine <br />
* Yifan Peng, US National Library of Medicine <br />
* Vassiliki Rentoumi, National Centre for Scientific Research Demokritos, Athens, Greece <br />
* Masoud Rouhizadeh, University of Pennsylvania, USA <br />
* Abeed Sarker, University of Pennsylvania, USA <br />
* Xingyi Song, University of Sheffield, UK <br />
* Tasnia Tahsin, Arizona State University, USA <br />
* Hegler Tissot, Federal University of Parana, Brazil <br />
* Ken Yano, Nara Institute of Science and Technology, Japan <br />
<br />
<br />
====Organizers:====<br />
Kevin Bretonnel Cohen, University of Colorado School of Medicine<br />
Dina Demner-Fushman, US National Library of Medicine<br />
Sophia Ananiadou, National Centre for Text Mining and University of Manchester, UK<br />
Jun-ichi Tsujii, National Institute of Advanced Industrial Science and Technology, Japan and University of Manchester, UK<br />
<br />
===VISA information===<br />
ACL organizers provide letters needed for visas. Please scroll to the bottom of this page: <br />
http://acl2017.org/participants/ and click "Visa Letter Request Form."<br />
<br />
<br />
===ACL Anti-Harassment Policy===<br />
https://www.aclweb.org/adminwiki/index.php?title=Anti-Harassment_Policy<br />
<br />
If you have any concerns or experience harassment or hostile behavior please contact Dina Demner-Fushman, Kevin Bretonnel Cohen or any current member of the ACL Executive Committee.<br />
<br />
<!--<br />
==BIONLP 2016 ==<br />
<br />
An ACL 2016 Workshop associated with the [[SIGBIOMED]] special interest group Featuring two associated tasks: [http://www.bioasq.org/workshop/ BioASQ] (http://www.bioasq.org/workshop) and [http://2016.bionlp-st.org/ BioNLP-ST] (http://2016.bionlp-st.org).<br />
<br />
Berlin, Germany, August 12 -13, 2016 <br />
<br />
===IMPORTANT DATES===<br />
<br />
* Submission deadline: Sunday, May 8, 2016, 11:59 PM Eastern US <br />
* Notification of acceptance: Monday, June 13, 2016 <br />
* Camera-ready copy due from authors: Wednesday, June 22, 2016 <br />
* BioNLP workshop: Friday, August 12, 2016<br />
* BioNLP-ST and BioASQ workshop: Saturday August 13, 2016 <br />
<br />
<br />
==BIONLP 2016 Workshop Schedule==<br />
<br />
<table cellspacing="0" cellpadding="5" border="0"><tr><td colspan=2 style="padding-top: 14px;"><b>Friday August 12, 2016</b></td></tr><br />
<tr><td valign=top style="padding-top: 14px;"><b>8:30&#8211;8:40</b></td><td valign=top style="padding-top: 14px;"><b>Opening remarks</b></td></tr><br />
<tr><td valign=top style="padding-top: 14px;"><b>8:40&#8211;10:30</b></td><td valign=top style="padding-top: 14px;"><b>Session 1: Entity extraction and representation</b></td></tr><br />
<tr><td valign=top width=100>8:40&#8211;9:00</td><td valign=top align=left><i>A Machine Learning Approach to Clinical Terms Normalization</i><br><br />
Jose Castano, Mar&iacute;a Laura Gambarte, Hee Joon Park, Maria del Pilar Avila Williams, David Perez, Fernando Campos, Daniel Luna, Sonia Benitez, Hernan Berinsky and Sof&iacute;a Zanetti</td></tr><br />
<tr><td valign=top width=100>9:00&#8211;9:20</td><td valign=top align=left><i>Improved Semantic Representation for Domain-Specific Entities</i><br><br />
Mohammad Taher Pilehvar and Nigel Collier</td></tr><br />
<tr><td valign=top width=100>9:20&#8211;9:40</td><td valign=top align=left><i>Identification, characterization, and grounding of gradable terms in clinical text</i><br><br />
Chaitanya Shivade, Marie-Catherine de Marneffe, Eric Fosler-Lussier and Albert M. Lai</td></tr><br />
<tr><td valign=top width=100>9:40&#8211;10:00</td><td valign=top align=left><i>Graph-based Semi-supervised Gene Mention Tagging</i><br><br />
Golnar Sheikhshab, Elizabeth Starks, Aly Karsan, Anoop Sarkar and Inanc Birol</td></tr><br />
<tr><td valign=top style="padding-top: 14px;"><b>10:00&#8211;10:30</b></td><td valign=top style="padding-top: 14px;"><b>Invited Talk: <i>The BioNLP-ST challenges on information extraction and knowledge acquisition in biology</i> <br> Speakers: Robert Bossy and Jin-Dong Kim</b></td></tr><br />
<tr><td valign=top style="padding-top: 14px;"><b>10:30&#8211;11:00</b></td><td valign=top style="padding-top: 14px;"><b><em>Coffee Break</em></b></td></tr><br />
<tr><td valign=top style="padding-top: 14px;"><b>11:00&#8211;12:30</b></td><td valign=top style="padding-top: 14px;"><b>Session 2: Event and Relation Extraction</b></td></tr><br />
<tr><td valign=top width=100>11:00&#8211;11:20</td><td valign=top align=left><i>Feature Derivation for Exploitation of Distant Annotation via Pattern Induction against Dependency Parses</i><br><br />
Dayne Freitag and John Niekrasz</td></tr><br />
<tr><td valign=top width=100>11:40&#8211;12:00</td><td valign=top align=left><i>Inferring Implicit Causal Relationships in Biomedical Literature</i><br><br />
Halil Kilicoglu</td></tr><br />
<tr><td valign=top width=100>12:00&#8211;12:20</td><td valign=top align=left><i>SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction</i><br><br />
Marco A. Valenzuela-Esc&aacute;rcega, Gus Hahn-Powell, Dane Bell and Mihai Surdeanu</td></tr><br />
<tr><td valign=top width=100>12:20&#8211;12:40</td><td valign=top align=left><i>Character based String Kernels for Bio-Entity Relation Detection</i><br><br />
Ritambhara Singh and Yanjun Qi</td></tr><br />
<tr><td valign=top style="padding-top: 14px;"><b>12:40&#8211;14:00</b></td><td valign=top style="padding-top: 14px;"><b><em>Lunch break</em></b></td></tr><br />
<tr><td valign=top style="padding-top: 14px;"><b>14:00&#8211;15:40</b></td><td valign=top style="padding-top: 14px;"><b>Session 3: Disambiguation, Classification, and more</b></td></tr><br />
<tr><td valign=top width=100>14:00&#8211;14:20</td><td valign=top align=left><i>Disambiguation of entities in MEDLINE abstracts by combining MeSH terms with knowledge</i><br><br />
Amy Siu, Patrick Ernst and Gerhard Weikum</td></tr><br />
<tr><td valign=top width=100>14:20&#8211;14:40</td><td valign=top align=left><i>Using Distributed Representations to Disambiguate Biomedical and Clinical Concepts</i><br><br />
Stephan Tulkens, Simon Suster and Walter Daelemans</td></tr><br />
<tr><td valign=top width=100>14:40&#8211;15:00</td><td valign=top align=left><i>Unsupervised Document Classification with Informed Topic Models</i><br><br />
Timothy Miller, Dmitriy Dligach and Guergana Savova</td></tr><br />
<tr><td valign=top width=100>15:00&#8211;15:20</td><td valign=top align=left><i>Vocabulary Development To Support Information Extraction of Substance Abuse from Psychiatry Notes</i><br><br />
Sumithra Velupillai, Danielle L Mowery, Mike Conway, John Hurdle and Brent Kious</td></tr><br />
<tr><td valign=top width=100>15:20&#8211;15:40</td><td valign=top align=left><i>Syntactic analyses and named entity recognition for PubMed and PubMed Central __ up-to-the-minute</i><br><br />
Kai Hakala, Suwisa Kaewphan, Tapio Salakoski and Filip Ginter</td></tr><br />
<tr><td valign=top style="padding-top: 14px;"><b>15:40&#8211;16:00</b></td><td valign=top style="padding-top: 14px;"><b><em>Coffee Break</em></b></td></tr><br />
<tr><td valign=top style="padding-top: 14px;"><b>16:00&#8211;16:30</b></td><td valign=top style="padding-top: 14px;"><b>Invited Talk: <i> BioASQ: A challenge on large-scale biomedical semantic indexing and question answering</i> <br> Speaker: Anastasia Krithara</b></td></tr><br />
<tr><td valign=top style="padding-top: 14px;"><b>16:30&#8211;17:30</b></td><td valign=top style="padding-top: 14px;"><b>Poster Session</b></td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Improving Temporal Relation Extraction with Training Instance Augmentation</i><br><br />
Chen Lin, Timothy Miller, Dmitriy Dligach, Steven Bethard and Guergana Savova</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Using Centroids of Word Embeddings and Word Mover&rsquo;s Distance for Biomedical Document Retrieval in Question Answering</i><br><br />
Georgios-Ioannis Brokos, Prodromos Malakasiotis and Ion Androutsopoulos</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway</i><br><br />
Michael Spranger, Sucheendra Palaniappan and Samik Gosh</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Construction of a Personal Experience Tweet Corpus for Health Surveillance</i><br><br />
Keyuan Jiang, Ricardo Calix and Matrika Gupta</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Modelling the Combination of Generic and Target Domain Embeddings in a Convolutional Neural Network for Sentence Classification</i><br><br />
Nut Limsopatham and Nigel Collier</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>PubTermVariants: biomedical term variants and their use for PubMed search</i><br><br />
Lana Yeganova, Won Kim, Sun Kim, Rezarta Islamaj Do&#287;an, Wanli Liu, Donald C Comeau, Zhiyong Lu and W John Wilbur</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>This before That: Causal Precedence in the Biomedical Domain</i><br><br />
Gus Hahn-Powell, Dane Bell, Marco A. Valenzuela-Esc&aacute;rcega and Mihai Surdeanu</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Syntactic methods for negation detection in radiology reports in Spanish</i><br><br />
Viviana Cotik, Vanesa Stricker, Jorge Vivaldi and Horacio Rodriguez</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>How to Train good Word Embeddings for Biomedical NLP</i><br><br />
Billy Chiu, Gamal Crichton, Anna Korhonen and Sampo Pyysalo</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>An Information Foraging Approach to Determining the Number of Relevant Features</i><br><br />
Brian Connolly, Benjamin Glass and John Pestian</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Assessing the Feasibility of an Automated Suggestion System for Communicating Critical Findings from Chest Radiology Reports to Referring Physicians</i><br><br />
Brian E. Chapman, Danielle L Mowery, Evan Narasimhan, Neel Patel, Wendy Chapman and Marta Heilbrun</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Building a dictionary of lexical variants for phenotype descriptors</i><br><br />
Simon Kocbek and Tudor Groza</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Applying deep learning on electronic health records in Swedish to predict healthcare-associated infections</i><br><br />
Olof Jacobson and Hercules Dalianis</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Identifying First Episodes of Psychosis in Psychiatric Patient Records using Machine Learning</i><br><br />
Genevieve Gorrell, Sherifat Oduola, Angus Roberts, Tom Craig, Craig Morgan and Rob Stewart</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Relation extraction from clinical texts using domain invariant convolutional neural network</i><br><br />
Sunil Sahu, Ashish Anand, Krishnadev Oruganty and Mahanandeeshwar Gattu</td></tr><br />
<br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Results of the 4th edition of BioASQ Challenge</i><br>Anastasia Krithara, Anastasios Nentidis, Georgios Paliouras and Ioannis Kakadiaris</td></tr><br />
<br />
<tr><td valign=top width=100>&nbsp;</td> <td><b>All August 13 talks are also presented as posters on August 12 and August 13</b></td></tr><br />
<br />
</table><br />
<br />
==BioASQ / BioNLP-ST Workshop Program, August 13==<br />
<br />
<table><br />
<tr><td valign=top width=100>'''9:00-9:15'''</td> <td><b>Welcome</b></td></tr><br />
<tr><td valign=top width=100>'''9:15-10:15'''</td> <td>'''Invited speaker: Sherri Matis-Mitchell''' <br>Solving Problems and Supporting Decisions in Pharma R&D using Text Analytics: A Recent History</td></tr><br />
<tr><td valign=top width=100>10:15-10:30</td> <td>'''Overview of BioASQ'''</td></tr><br />
<tr><td valign=top width=100>10:30-11:00</td> <td><b>Coffee break</b></td></tr><br />
<tr><td valign=top width=100>11:00-12:30</td> <td><b>BioASQ participant session</b></td></tr><br />
<tr><td valign=top width=100>11:00-11:15</td> <td>Using Learning-To-Rank to Enhance NLM Medical Text Indexer Results<br>Ilya Zavorin, James Mork and Dina Demner-Fushman</td></tr><br />
<tr><td valign=top width=100>11:15-11:30</td> <td>LABDA at the 2016 BioASQ challenge task 4a: Semantic Indexing by using ElasticSearch <br>Isabel Segura-Bedmar, Adrián Carruana and Paloma Martínez</td></tr><br />
<tr><td valign=top width=100>11:30-11:45</td> <td>Learning to Answer Biomedical Questions: OAQA at BioASQ 4B<br>Zi Yang, Yue Zhou and Eric Nyberg</td></tr><br />
<tr><td valign=top width=100>11:45-12:00</td> <td>HPI Question Answering System in BioASQ 2016 <br>Frederik Schulze, Ricarda Schuler, Tim Draeger, Daniel Dummer, Alexander Ernst, Pedro Flemming, Cindy Perscheid, Mariana Neves</td></tr><br />
<tr><td valign=top width=100>12:00-12:15</td> <td>KSAnswer: Question-answering System of Kangwon National University and Sogang University in the 2016 BioASQ Challenge<br>Hyeon-gu Lee, Minkyoung Kim, Harksoo Kim, Juae Kim, Sunjae Kwon, Jungyun Seo, Yi-Reun Kim and Jung-Kyu Choi</td></tr><br />
<tr><td valign=top width=100>12:15-12:30</td> <td>Large-Scale Semantic Indexing and Question Answering in Biomedicine <br>Eirini Papagiannopoulou, Yiannis Papanikolaou, Dimitris Dimitriadis, Sakis Lagopoulos, Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos and Ioannis Vlahavas</td></tr><br />
<br />
<tr><td valign=top width=100>'''12:30-14:00'''</td> <td><b>Lunch break</b></td></tr><br />
<br />
<tr><td valign=top width=100>'''14:00-14:15'''</td> <td><b>Overview of BioNLP-ST</b></td></tr><br />
<br />
<tr><td valign=top width=100>'''14:15-15:30'''</td> <td>'''BioNLP-ST participant session 1'''</td></tr><br />
<br />
<tr><td valign=top width=100>14:15-14:30</td> <td>LitWay, discriminative extraction for different bio-events<br>Chen Li, Zhiqiang Rao and Xiangrong Zhang</td></tr><br />
<tr><td valign=top width=100>14:30-14:45</td> <td>VERSE: Event and relation extraction in the BioNLP 2016 Shared Task<br>Jake Lever and Steven JM Jones</td></tr><br />
<tr><td valign=top width=100>14:45-15:00</td> <td>A dictionary- and rule-based system for identification of bacteria and habitats in text<br>Helen Cook, Evangelos Pafilis and Lars Juhl Jensen</td></tr><br />
<tr><td valign=top width=100>15:00-15:15</td> <td>Extraction of Regulatory Events Using Kernel-based Classifiers and Distant Supervision<br>Andre Lamurias, Miguel J. Rodrigues, Luka A. Clarke and Francisco M Couto</td></tr><br />
<tr><td valign=top width=100>15:15-15:30</td> <td>Deep Learning With Minimal Training Data: TurkuNLP Entry in The BioNLP Shared Task 2016<br>Farrokh Mehryary, Jari Björne, Sampo Pyysalo, Tapio Salakoski and Filip Ginter</td></tr><br />
<tr><td valign=top width=100>'''15:30-16:00'''</td> <td>'''Coffee break'''</td></tr><br />
<tr><td valign=top width=100>16:00-17:00</td> <td>'''BioNLP-ST participant session 2'''</td></tr><br />
<tr><td valign=top width=100>16:00-16:15</td><td>Identification of mentions and relations between bacteria and biotope from PubMed abstracts<br>Cyril Grouin</td></tr><br />
<tr><td valign=top width=100>16:15-16:30</td> <td>SeeDev Binary Event Extraction Using SVMs and a Rich Feature set<br>Nagesh Panyam Chandrasekarasastry, Gitansh Khirbat, Karin Verspoor, Trevor Cohn and Kotagiri Ramamohanarao</td></tr><br />
<tr><td valign=top width=100>16:30-16:45</td> <td>Ontology Based Categorization of Bacteria and Habitat Entities using Information Retrieval Techniques<br>Mert Tiftikci, Hakan Şahin, Berfu Büyüköz, Alper Yayıkçı and Arzucan Özgür</td></tr><br />
<tr><td valign=top width=100>16:45-17:00</td> <td>DUTIR in BioNLP-ST 2016: Utilizing convolutional network and distributed representation to extract complicate relations<br>Honglei Li, Jianhai Zhang, Jian Wang, Hongfei Lin and Zhihao Yang</td></tr><br />
<br />
<tr><td valign=top width=100>'''17:00-17:30'''</td> <td><b>Closing session</b></td></tr><br />
<br />
</table><br />
<!--<br />
==WORKSHOP OVERVIEW AND SCOPE==<br />
<br />
Over the course of the past fourteen years, the ACL BioNLP workshop associated with the SIGBIOMED special interest group has established itself as the primary venue for presenting foundational research in language processing for the biological and medical domains. The workshop serves as both a venue for bringing together researchers in bio- and clinical NLP and exposing these researchers to the mainstream ACL research, and a venue for informing the mainstream ACL researchers about the fast growing and important domain. <br />
<br />
The workshop will continue presenting work on a broad and interesting range of topics in NLP. <br />
<br />
The active areas of research include:<br />
<br />
* Entity identification and normalization for a broad range of semantic categories<br />
* Extraction of complex relations and events<br />
* Semantic parsing<br />
* Discourse analysis<br />
* Anaphora /Coreference resolution<br />
* Text mining<br />
** Literature based discovery<br />
* Summarization<br />
* Question Answering<br />
* Resources and novel strategies for system testing and evaluation<br />
** Infrastructures for biomedical text mining<br />
* Processing and annotation platforms <br />
* Translating NLP research to practice<br />
* Theoretical underpinnings of biomedical language processing<br />
--><br />
<br />
<br />
<br />
<!-- <h5>SUBMISSION INSTRUCTIONS</h5><br />
We invite two types of submissions: full papers and short papers. <br />
Submissions are due by 11:59 PM EST on Sunday May 8, 2016. <br />
<br />
Full papers should not exceed eight (8) pages of text, plus unlimited references. These are intended to be <br />
reports of original research. BioNLP aims to be the forum for interesting, innovative, and promising work <br />
involving biomedicine and language technology, whether or not yielding high performance at the moment. <br />
This by no means precludes our interest in and preference for mature results, strong performance, and thorough evaluation. Both types of research and combinations thereof are encouraged. <br />
<br />
Short papers may consist of up to four (4) pages of content, plus unlimited references. <br />
Appropriate short paper topics include preliminary results, application notes, descriptions of work in progress, etc.<br />
<br />
<h6>Electronic Submission</h6><br />
Submissions must be electronic and in PDF format, using the Softconf START conference management system at [https://www.softconf.com/acl2016/BioNLP16/ https://www.softconf.com/acl2016/BioNLP16/]<br />
We strongly recommend the use of ACL LaTeX style files tailored for this year's conference. Submissions must conform to the official style guidelines. Style files and other information about paper formatting requirements will be made available on the conference website,[http://acl2016.org http://acl2016.org].<br />
<br />
<b>Submissions should be anonymous. </b><br />
Dual submission policy: papers may <b>NOT</b> be submitted to the BioNLP 2016 workshop if they are or will be concurrently submitted to another meeting or publication. --><br />
<br />
<!--<br />
<b>Program Committee:</b><br />
<br />
* Sophia Ananiadou, National Centre for Text Mining and University of Manchester, UK <br />
* Eiji Aramaki, University of Tokyo, Japan <br />
* Alan Aronson, US National Library of Medicine <br />
* Asma Ben Abacha, US National Library of Medicine <br />
* Olivier Bodenreider, US National Library of Medicine <br />
* Kevin Bretonnel Cohen, University of Colorado School of Medicine, USA <br />
* Aaron Cohen, Oregon Health and Science University <br />
* Dina Demner-Fushman, US National Library of Medicine <br />
* Filip Ginter, University of Turku, Finland <br />
* Cyril Grouin, LIMSI - CNRS, France <br />
* Antonio Jimeno Yepes, IBM, Melbourne Area, Australia<br />
* Halil Kilicoglu, US National Library of Medicine<br />
* Robert Leaman, US National Library of Medicine <br />
* Ulf Leser, Humboldt-Universit&auml;t zu Berlin, Germany <br />
* Zhiyong Lu, US National Library of Medicine <br />
* Timothy Miller, Children’s Hospital Boston, USA <br />
* Makoto Miwa, Toyota Technological Institute, Japan <br />
* Danielle L Mowery, VA Salt Lake City Health Care System, USA<br />
* Yassine M'Rabet, US National Library of Medicine<br />
* Aurelie Neveol, LIMSI - CNRS, France <br />
* Nhung Nguyen, The University of Manchester, UK<br />
* Naoaki Okazaki, Tohoku University, Japan <br />
* Sampo Pyysalo, University of Cambridge, UK <br />
* Bastien Rance, Hopital Europeen Georges Pompidou, France <br />
* Fabio Rinaldi, University of Zurich, Switzerland <br />
* Thomas Rindflescht, US National Library of Medicine <br />
* Kirk Roberts, The University of Texas Health Science Center at Houston, USA <br />
* Angus Roberts, The University of Sheffield, UK <br />
* Yoshimasa Tsuruoka, University of Tokyo, Japan <br />
* Karin Verspoor, The University of Melbourne, Australia <br />
* Byron C. Wallace, University of Texas at Austin, USA <br />
* W John Wilbur, US National Library of Medicine <br />
* Pierre Zweigenbaum, LIMSI - CNRS, France<br />
<br />
<br />
<b>Organizers</b><br />
* Kevin Bretonnel Cohen, University of Colorado School of Medicine<br />
* Dina Demner-Fushman, US National Library of Medicine<br />
* Sophia Ananiadou, National Centre for Text Mining and University of Manchester, UK<br />
* Jun-ichi Tsujii, National Institute of Advanced Industrial Science and Technology, Japan <br />
<br />
<br />
<h5>The BioNLP Shared Task (BioNLP-ST) and the BioASQ Challenge associated with the workshop</h5><br />
<br />
The <b>BioNLP Shared Task (BioNLP-ST)</b> has been organized three times so far, leading to the development of information extraction systems for molecular biology and medicine in 2009, 2011 and 2013. One of the major contributions of BioNLP-ST is the availability of resources such as high quality manually curated corpora, tools, and evaluation services.<br />
<br />
<b>Shared Task Organizers:</b><br />
<br />
* Jin-Dong Kim, Database Center for Life Science (DBCLS), Japan<br />
* Claire Nedellec, INRA, France <br />
* Robert Bossy, INRA, France<br />
<br />
<br />
The second equally successful shared task, the <b>BioASQ challenge</b> on large-scale biomedical semantic indexing and question answering has been running on an annual basis since 2012. The results of the challenge were presented in a workshop, which has so far been taking place in conjunction with the CLEF conference and was extremely well-attended. <br />
<br />
BioASQ assesses the performance of information systems in supporting two tasks that are central in the biomedical question answering process: (a) the indexing of large volumes of unlabeled data, primarily scientific articles, with biomedical concepts, (b) the processing of biomedical questions and the generation of answers and supporting material. BioASQ has been making publicly available the following benchmark data and tools: more than 1300 questions and related answers, as well as online "oracle" for objective evaluation of any system throughout the year, not only during the challenge.<br />
<br />
<b>BioASQ Organizers:</b><br />
<br />
* Georgios Paliouras NCSR "Demokritos", Greece and University of Houston, USA <br />
* Ioannis Kakadiaris University of Houston, USA <br />
* Anastasia Krithara, NCSR "Demokritos", Greece<br />
<br />
--><br />
<br />
<!-- ==BIONLP 2015 Workshop Schedule==<br />
<br />
<table cellspacing="0" cellpadding="5" border="0"><br />
<tr><td colspan=2><b>Thursday, July 30</b></td></tr><br />
<tr><td style="width:10%; vertical-align:top">8:00&#8211;8:20</td><td valign=top><b> Opening remarks</b></td></tr><br />
<tr><td valign=top>&nbsp;</td><td valign=top><b>Session 1: Reading biomedical literature</b></td></tr><br />
<tr><td valign=top>8:20&#8211;8:40</td><td>Complex Event Extraction using DRUM<br><em>James Allen<sup>1</sup>,&nbsp;Will de Beaumont<sup>2</sup>,&nbsp;Lucian Galescu<sup>2</sup>,&nbsp;Choh Man Teng<sup>2</sup></em><br><sup>1</sup>Institute for Human and Machine Cognition and University of Rochester, <sup>2</sup>Institute for Human and Machine Cognition</td></tr><br />
<tr><td valign=top>8:40&#8211;9:00</td><td>Making the most of limited training data using distant supervision<br><em>Roland Roller and Mark Stevenson</em><br>University of Sheffield</td></tr><br />
<tr><td valign=top>9:00&#8211;9:20</td><td>An extended dependency graph for relation extraction in biomedical texts<br><em>Yifan Peng<sup>1</sup>,&nbsp;Samir Gupta<sup>2</sup>,&nbsp;Cathy Wu<sup>2</sup>,&nbsp;Vijay Shanker<sup>2</sup></em><br><sup>1</sup>Computer and Information Sciences, University of Delaware,&nbsp;<sup>2</sup>University of Delaware</td></tr><br />
<tr><td valign=top>9:20&#8211;9:40</td><td>Event Extraction in pieces:Tackling the partial event identification problem on unseen corpora<br><em>Chrysoula Zerva and Sophia Ananiadou</em><br>University of Manchester</td></tr><br />
<tr><td valign=top>9:40&#8211;10:00</td><td>Extracting Biological Pathway Models From NLP Event Representations<br><em>Michael Spranger<sup>1</sup>,&nbsp;Sucheendra Palaniappan<sup>2</sup>,&nbsp;Samik Ghosh<sup>3</sup></em><br><sup>1</sup>Sony Computer Science Laboratories Inc., <sup>2</sup>INRIA, Campus de Beaulieu, Rennes, France, <sup>3</sup>The Systems Biology Institute, Minato-ku, Tokyo, Japan</td></tr><br />
<tr><td valign=top>10:00&#8211;10:20</td><td>Shallow Training is cheap but is it good enough? Experiments with Medical Fact Coding<br><em>Ramesh Nallapati and Radu Florian</em><br>IBM T. J. Watson Research Center</td></tr><br />
<tr><td valign=top>10:30&#8211;11:00</td><td valign=top><b>Coffee Break</b></td></tr><br />
<tr><td valign=top>11:00&#8211;11:45</td><td valign=top><b><font face="verdana" color="#000080"> Keynote: "Machine Reading: Attempting to model and understand biological processes" - Christopher Manning</font></b></td></tr><br />
<tr><td valign=top>11:45&#8211;12:30</td><td valign=top><b><font face="verdana" color="#000080"> Keynote: “The DARPA Big Mechanism Program” - Kevin Knight</font></b></td></tr><br />
<tr><td valign=top>12:30&#8211;14:00</td><td valign=top><b>Lunch</b></td></tr><br />
<tr><td valign=top>14:00&#8211;15:00</td><td valign=top><b>Poster session</b></td></tr><br />
<tr><td valign=top>15:00&#8211;15:30</td><td valign=top><b><font face="verdana" color="#000080"> Invited Talk: “Overview of BioCreative V Challenge Tasks” - Zhiyong Lu</font></b></td></tr><br />
<tr><td valign=top>15:30&#8211;16:00</td><td valign=top><b>Coffee Break</b></td></tr><br />
<tr><td valign=top>&nbsp;</td><td valign=top><b>Session 2: Clinical text processing</b></td></tr><br />
<tr><td valign=top>16:00&#8211;16:20</td><td>Stacked Generalization for Medical Concept Extraction from Clinical Notes<br><em>Youngjun Kim and Ellen Riloff</em><br>University of Utah</td></tr><br />
<tr><td valign=top>16:20&#8211;16:40</td><td>Extracting Disease-Symptom Relationships by Learning Syntactic Patterns from Dependency Graphs<br><em>Mohsen Hassan<sup>1</sup>,&nbsp;Olfa Makkaoui<sup>2</sup>,&nbsp;Adrien Coulet<sup>1</sup>,&nbsp;Yannick Toussain<sup>1</sup></em><br><sup>1</sup>LORIA (CNRS, Inria NGE, Universit&eacute; de Lorraine), <sup>2</sup>LORIA (Inria NGE)</td></tr><br />
<tr><td valign=top>16:40&#8211;17:00</td><td>Extracting Time Expressions from Clinical Text<br><em>Timothy Miller<sup>1</sup>,&nbsp;Steven Bethard<sup>2</sup>,&nbsp;Dmitriy Dligach<sup>1</sup>,&nbsp;Chen Lin<sup>3</sup>,&nbsp;Guergana Savova<sup>4</sup></em><br><sup>1</sup>Boston Children's Hospital and Harvard Medical School, <sup>2</sup>University of Alabama at Birmingham, <sup>3</sup>Boston Children's Hospital, <sup>4</sup>Harvard</td></tr><br />
<tr><td valign=top>17:00&#8211;17:20</td><td>Exploiting Task-Oriented Resources to Learn Word Embeddings for Clinical Abbreviation Expansion<br><em>Yue Liu<sup>1</sup>,&nbsp;Tao Ge<sup>2</sup>,&nbsp;Kusum Mathews<sup>3</sup>,&nbsp;Heng Ji<sup>1</sup>,&nbsp;Deborah McGuinness<sup>1</sup></em><br><sup>1</sup>Rensselaer Polytechnic Institute, <sup>2</sup>Key Laboratory of Computational Linguistics, Peking University, <sup>3</sup>Departments of Medicine and Emergency Medicine, Icahn School of Medicine at Mount Sinai</td></tr><br />
<tr><td valign=top>17:20&#8211;17:40</td><td>Semantic Type Classification of Common Words in Biomedical Noun Phrases<br><em>Amy Siu and Gerhard Weikum</em><br>Max Planck Institute for Informatics</td></tr><br />
<tr><td valign=top>17:40&#8211;18:00</td><td>CoMAGD: Annotation of Gene-Depression Relations<br><em>Rize Jin<sup>1</sup>,&nbsp;Jinseon You<sup>1</sup>,&nbsp;Jin-Woo Chung<sup>2</sup>,&nbsp;Hee-Jin Lee<sup>1</sup>,&nbsp;Maria Wolters<sup>3</sup>,&nbsp;Jong Park<sup>2</sup></em><br><sup>1</sup>Korea Advanced Institute of Science and Technology, <sup>2</sup>KAIST, <sup>3</sup>The University of Edinburgh</td></tr><br />
<tr><td valign=top>18:00</td><td valign=top><b>Closing remarks</b></td></tr><br />
<tr><td valign=top>&nbsp;</td><td valign=top><b>Posters</b></td></tr><br />
<tr><td valign=top>&nbsp;</td><td valign=top>Lexical Characteristics Analysis of Chinese Clinical Documents<br><em>Meizhi Ju<sup>1</sup>,&nbsp;Haomin Li<sup>2</sup>,&nbsp;Huilong Duan<sup>1</sup></em><br><sup>1</sup>College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China., <sup>2</sup>The Children’s Hospital of Zhejiang University, Hangzhou, China;The Institute of Translational Medicine, Zhejiang University, Hangzhou, China.</td></tr><br />
<tr><td valign=top>&nbsp;</td><td valign=top>Using word embedding for bio-event extraction<br><em>Chen Li<sup>1</sup>,&nbsp;Runqing Song<sup>2</sup>,&nbsp;Maria Liakata<sup>3</sup>,&nbsp;Andreas Vlachos<sup>4</sup>,&nbsp;Stephanie Seneff<sup>1</sup>,&nbsp;Xiangrong Zhang<sup>2</sup></em><br><sup>1</sup>Massachusetts Institute of Technology, <sup>2</sup>Xidian University, <sup>3</sup>University of Warwick, <sup>4</sup>University College London</td></tr><br />
<tr><td valign=top>&nbsp;</td><td valign=top>Measuring the readability of medical research journal abstracts<br><em>Samuel J. Severance<sup>1</sup> and K. Bretonnel Cohen<sup>2</sup></em><br><sup>1</sup>School of Education, Institute of Cognitive Science, University of Colorado, <sup>2</sup>U. Colorado School of Medicine</td></tr><br />
<tr><td valign=top>&nbsp;</td><td valign=top>Translating Electronic Health Record Notes from English to Spanish: A Preliminary Study<br><em>Weisong Liu<sup>1</sup> and Shu Cai<sup>2</sup></em><br><sup>1</sup>UMass Medical School, <sup>2</sup>Information Sciences Institute</td></tr><br />
<tr><td valign=top>&nbsp;</td><td valign=top>Automatic Detection of Answers to Research Questions from Medline Abstracts<br><em>Abdulaziz Alamri<sup>1</sup> and Mark Stevenson<sup>2</sup></em><br><sup>1</sup>PhD Student, The university of Sheffield, <sup>2</sup>University of Sheffield</td></tr><br />
<tr><td valign=top>&nbsp;</td><td valign=top>A preliminary study on automatic identification of patient smoking status in unstructured electronic health records<br><em>Jitendra Jonnagaddala<sup>1</sup>,&nbsp;Hong-Jie Dai<sup>2</sup>,&nbsp;Pradeep Ray<sup>1</sup>,&nbsp;Siaw-Teng Liaw<sup>1</sup></em><br><sup>1</sup>UNSW Australia, <sup>2</sup>Taipei Medical University</td></tr><br />
<tr><td valign=top>&nbsp;</td><td valign=top>Restoring the intended structure of Hungarian ophthalmology documents<br><em>Borbala Siklosi<sup>1</sup> and Attila Novak<sup>2</sup></em><br><sup>1</sup>Pazmany Peter Catholic University, <sup>2</sup>MTA-PPKE Hungarian Language Technology Research Group, Faculty of Information Technology and Bionics, Pazmany Peter Catholic University, Budapest</td></tr><br />
<tr><td valign=top>&nbsp;</td><td valign=top>Evaluating distributed word representations for capturing semantics of biomedical concepts<br><em>MUNEEB TH<sup>1</sup>,&nbsp;Sunil Sahu<sup>2</sup>,&nbsp;Ashish Anand<sup>2</sup></em><br><sup>1</sup>IIT GUWAHATI, <sup>2</sup>Indian Institute of Technology Guwahati</td></tr><br />
<tr><td valign=top>&nbsp;</td><td valign=top>Investigating Public Health Surveillance using Twitter<br><em>Antonio Jimeno Yepes<sup>1</sup>,&nbsp;Andrew MacKinlay<sup>1</sup>,&nbsp;Bo Han<sup>2</sup></em><br><sup>1</sup>IBM, <sup>2</sup>IBM Research</td></tr><br />
<tr><td valign=top>&nbsp;</td><td valign=top>Clinical Abbreviation Disambiguation Using Neural Word Embeddings<br><em>Yonghui Wu<sup>1</sup>,&nbsp;Jun Xu<sup>2</sup>,&nbsp;Yaoyun Zhang<sup>3</sup>,&nbsp;Hua Xu<sup>1</sup></em><br><sup>1</sup>The University of Texas Health Science Center at Houston, <sup>2</sup>School of Biomedical Informatics, The University of Texas Health Science Center at Houston, <sup>3</sup>University of Texas School of Biomedical Informatics at Houston</td></tr><br />
<tr><td valign=top>&nbsp;</td><td valign=top>Representing Clinical Diagnostic Criteria in Quality Data Model Using Natural Language Processing<br><em>Na Hong<sup>1</sup>,&nbsp;Dingcheng Li<sup>1</sup>,&nbsp;Yue Yu<sup>1</sup>,&nbsp;Hongfang Liu<sup>1</sup>,&nbsp;Christopher G. Chute<sup>2</sup>,&nbsp;Guoqian Jiang<sup>1</sup></em><br><sup>1</sup>Mayo Clinic, <sup>2</sup>Johns Hopkins University</td></tr><br />
</table><br />
<br />
<br />
==BIONLP 2015 Call for Papers==<br />
<br />
Date of workshop: July 30, 2015<br />
<br />
Venue: BioNLP 2015 will be held in conjunction with ACL 2015 in Beijing, People’s Republic of China.<br />
<br />
===IMPORTANT DATES===<br />
* 14 May 2015: Submission due date<br />
* 4 June 2015: Notification of acceptance<br />
* 21 June 2015: Camera-ready papers due<br />
* 30 July 2015: Workshop, Beijing, PRC<br />
<br />
<br />
Over the course of the past thirteen years, the ACL BioNLP workshop associated with the SIGBIOMED special interest group has established itself as the primary venue for presenting foundational research in language processing for the biological and medical domains. The workshop serves as both a venue for bringing together researchers in bio- and clinical NLP and exposing these researchers to the mainstream ACL research, and a venue for informing the mainstream ACL researchers about this fast-growing and important domain. The workshop will continue presenting work on a broad and interesting range of topics in NLP. Submissions are particularly solicited in the areas of:<br />
<ul><br />
<li> Wide-scale entity identification and normalization </li> <br />
<li> Extraction of complex relations and events </li> <br />
<li> Discourse analysis </li> <br />
<li> Coreference resolution </li> <br />
<li> Text mining </li> <br />
<li> Literature based discovery </li> <br />
<li> Summarization </li> <br />
<li> Question-answering </li> <br />
<li> Lexical and terminological resources for BioNLP </li> <br />
<li> Annotation (corpora), standards </li> <br />
<li> Resources and strategies for system testing and evaluation </li> <br />
<li> Processing and annotation platforms </li> <br />
<li> Interoperable platforms for biomedical text mining </li> <br />
<li> Domain adaptation </li> <br />
<li> Translating NLP research to practice </li> <br />
</ul><br />
<br />
Submission instructions:<br />
<br />
Long papers may consist of up to eight (8) pages of content, plus two pages for references; final versions of long papers will be given one additional page (up to 9 pages with 2 pages for references) so that reviewers’comments can be taken into account. <br />
<br />
Poster submissions may consist of up to four (4) pages of content, plus 2 pages for references. Upon acceptance, short papers will be given five (5) pages in the proceedings and 2 pages for references. Authors are encouraged to use this additional page to address reviewers comments in their final versions.<br />
<br />
https://www.softconf.com/acl2015/BioNLP/<br />
Authors who cannot submit a PDF file electronically should contact the workshop organizers well in advance of the submission deadline. <br />
Dual submission policy: note that papers may NOT be submitted to the BioNLP 2014 workshop if they are or will be concurrently submitted to another meeting or publication. <br />
Submissions should be anonymous.<br />
<br />
--><br />
<!--<br />
==BIONLP 2014 Workshop Schedule==<br />
Registration is now open (scroll to 2-Day Workshops): [http://acl2014.org/Registration.htm ACL 2014 Registration ] <br />
<table cellspacing="0" cellpadding="5" border="0"><tr><td colspan=2><h4>Thursday, June 26, 2014</h4></td></tr><br />
<tr><td valign=top>9:00&#8211;9:10</td><td valign=top><b> Opening remarks</b></td></tr><br />
<tr><td valign=top>&nbsp;</td><td valign=top><b>Session 1: Processing biomedical publications</b></td></tr><br />
<tr><td valign=top width=100>9:10&#8211;9:30</td><td valign=top align=left><i>Natural Language Processing Methods for Enhancing Geographic Metadata for Phylogeography of Zoonotic Viruses</i><br><br />
Tasnia Tahsin, Robert Rivera, Rachel Beard, Rob Lauder, Davy Weissenbacher, Matthew Scotch, Garrick Wallstrom and Graciela Gonzalez</td></tr><br />
<tr><td valign=top width=100>9:30&#8211;9:50</td><td valign=top align=left><i>Temporal Expression Recognition for Cell Cycle Phase Concepts in Biomedical Literature</i><br><br />
Negacy Hailu, Natalya Panteleyeva and Kevin Cohen</td></tr><br />
<tr><td valign=top width=100>9:50&#8211;10:10</td><td valign=top align=left><i>Classifying Negative Findings in Biomedical Publications</i><br><br />
Bei Yu and Daniele Fanelli</td></tr><br />
<tr><td valign=top width=100>10:10&#8211;10:30</td><td valign=top align=left><i>Automated Disease Normalization with Low Rank Approximations</i><br><br />
Robert Leaman and Zhiyong Lu</td></tr><br />
<tr><td valign=top>10:30&#8211;11:00</td><td valign=top><b>Coffee Break</b></td></tr><br />
<tr><td valign=top>11:00&#8211;11:50</td><td valign=top><b><br />
<font face="verdana" color="#000080"> Keynote by Junichi Tsujii: BioNLP as the Pioneering field of linking text, knowledge and data </font> <br />
</b></td></tr><br />
<tr><td valign=top>&nbsp;</td><td valign=top><b>Session 2: Processing consumer language</b></td></tr><br />
<tr><td valign=top width=100>11:50&#8211;12:10</td><td valign=top align=left><i>Decomposing Consumer Health Questions</i><br><br />
Kirk Roberts, Halil Kilicoglu, Marcelo Fiszman and Dina Demner-Fushman</td></tr><br />
<tr><td valign=top width=100>12:10&#8211;12:30</td><td valign=top align=left><i>Detecting Health Related Discussions in Everyday Telephone Conversations for Studying Medical Events in the Lives of Older Adults</i><br><br />
Golnar Sheikhshab, Izhak Shafran and Jeffrey Kaye</td></tr><br />
<tr><td valign=top>12:30&#8211;2:00</td><td valign=top><b>Lunch</b></td></tr><br />
<tr><td valign=top>&nbsp;</td><td valign=top><b>Session 3: Processing clinical text and gray literature</b></td></tr><br />
<tr><td valign=top width=100>2:00&#8211;2:20</td><td valign=top align=left><i>Coreference Resolution for Structured Drug Product Labels</i><br><br />
Halil Kilicoglu and Dina Demner-Fushman</td></tr><br />
<tr><td valign=top width=100>2:20&#8211;2:40</td><td valign=top align=left><i>Generating Patient Problem Lists from the ShARe Corpus using SNOMED CT/SNOMED CT CORE Problem List</i><br><br />
Danielle Mowery, Mindy Ross, Sumithra Velupillai, Stephane Meystre, Janyce Wiebe and Wendy Chapman</td></tr><br />
<tr><td valign=top width=100>2:40&#8211;3:00</td><td valign=top align=left><i>A System for Predicting ICD-10-PCS Codes from Electronic Health Records</i><br><br />
Michael Subotin and Anthony Davis</td></tr><br />
<tr><td valign=top width=100>3:00&#8211;3:20</td><td valign=top align=left><i>Structuring Operative Notes using Active Learning</i><br><br />
Kirk Roberts, Sanda Harabagiu and Michael Skinner</td></tr><br />
<tr><td valign=top>3:30-4:00</td><td valign=top><b>Afternoon Break</b></td></tr><br />
<tr><td valign=top width=100>4:00&#8211;4:20</td><td valign=top align=left><i>Chunking Clinical Text Containing Non-Canonical Language</i><br><br />
Aleksandar Savkov, John Carroll and Jackie Cassell</td></tr><br />
<tr><td valign=top width=100>4:20&#8211;4:40</td><td valign=top align=left><i>Decision Style in a Clinical Reasoning Corpus</i><br><br />
Limor Hochberg, Cecilia Ovesdotter Alm, Esa M. Rantanen, Caroline M. DeLong and Anne Haake</td></tr><br />
<tr><td valign=top>4:40-5:30</td><td valign=top><b>Poster session</b></td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Temporal Expressions in Swedish Medical Text &#8211; A Pilot Study</i><br><br />
Sumithra Velupillai</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>A repository of semantic types in the MIMIC II database clinical notes</i><br><br />
Richard Osborne, Alan Aronson and Kevin Cohen</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Extracting drug indications and adverse drug reactions from Spanish health social media</i><br><br />
Isabel Segura-Bedmar, Santiago de la Pe&ntilde;a Gonz&aacute;lez and Paloma Mart&iacute;nez</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Symptom extraction issue</i><br><br />
Laure Martin, Delphine Battistelli and Thierry Charnois</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Seeking Informativeness in Literature Based Discovery</i><br><br />
Judita Preiss</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>Towards Gene Recognition from Rare and Ambiguous Abbreviations using a Filtering Approach</i><br><br />
Matthias Hartung, Roman Klinger, Matthias Zwick and Philipp Cimiano</td></tr><br />
<tr><td valign=top width=100>&nbsp;</td><td valign=top align=left><i>FFTM: A Fuzzy Feature Transformation Method for Medical Documents</i><br><br />
Amir Karami and Aryya Gangopadhyay</td></tr><br />
<tr><td colspan=2><h4>Friday, June 27, 2014</h4></td></tr><br />
<tr><td valign=top>&nbsp;</td><td valign=top><b>Session 1: NLP approaches for assessment of clinical conditions</b></td></tr><br />
<tr><td valign=top width=100>9:00&#8211;9:40</td><td valign=top align=left><i>Using statistical parsing to detect agrammatic aphasia</i><br><br />
Kathleen C. Fraser, Graeme Hirst, Jed A. Meltzer, Jennifer E. Mack and Cynthia K. Thompson<br />
<br><br />
<font face="verdana" color="#000080"> Discussants: Thamar Solorio and Yang Liu </font></td></tr><br />
<tr><td valign=top>&nbsp;</td><td valign=top><b><font face="verdana" color="#000080">Panel: Life cycles of BioCreative, BioNLP-ST, i2b2, TREC Medical tracks, and ShARe /CLEF/ SemEval</font></b></td></tr><br />
<tr><td valign=top>9:40-10:05</td><td valign=top>BioCreative by Lynette Hirschman and John Wilbur</td></tr><br />
<tr><td valign=top>10:05-10:30</td><td valign=top>BioNLP-ST by Sophia Ananiadou and Junichi Tsujii</td></tr><br />
<tr><td valign=top>10:30-11:00</td><td valign=top><b>Coffee Break</b></td></tr><br />
<tr><td valign=top>11:00-11:20</td><td valign=top>TREC Medical tracks by Ellen Voorhees</td></tr><br />
<tr><td valign=top>11:20-11:25</td><td valign=top>Introduction to the TAC 2014 Biomedical Summarization Track by Lucy Vanderwende</td></tr><br />
<tr><td valign=top>11:25-11:50</td><td valign=top>i2b2 by Ozlem Uzuner</td></tr><br />
<tr><td valign=top>11:50-12:10</td><td valign=top>ShARe/CLEF/SemEval by Danielle Mowery, Sumithra Velupillai and Sameer Pradhan</td></tr><br />
<tr><td valign=top>12:10-12:30</td><td valign=top>Discussion</td></tr><br />
<tr><td valign=top>12:30-2:00</td><td valign=top><b>Lunch</b></td></tr><br />
<tr><td valign=top>2:00-3:30</td><td valign=top><b><font face="verdana" color="#000080">Tutorial by Olivier Bodenreider: UMLS in biomedical text processing</font></b></td></tr><br />
<tr><td valign=top>3:30-4:00</td><td valign=top>Afternoon Break</td></tr><br />
<tr><td valign=top>4:00-5:30</td><td valign=top><b><font face="verdana" color="#000080">Tutorial by Alan R. Aronson: Using MetaMap</font></b></td></tr><br />
</table><br />
<br />
<br />
==BIONLP 2014 Call for Papers==<br />
<br />
An ACL 2014 2-day Workshop associated with the [[SIGBIOMED]] special interest group Featuring a special track on NLP approaches for assessment of clinical conditions and a panel on shared tasks.<br />
Baltimore, MD, June 26-27, 2014<br />
<br />
===IMPORTANT DATES===<br />
<br />
* Submission deadline: Tuesday March 25, 2014, 11:59 PM Eastern US <br />
* Notification of acceptance: Tuesday April 15, 2014 <br />
* Camera-ready copy due from authors: Friday April 25, 2014<br />
* Workshop: Th - Fr June 26 - 27, 2014<br />
<br />
<br />
===WORKSHOP OVERVIEW AND SCOPE===<br />
<br />
Over the course of the past twelve years, the ACL BioNLP workshop associated with the SIGBIOMED special interest group has established itself as the primary venue for presenting foundational research in language processing for the biological and medical domains. The workshop serves as both a venue for bringing together researchers in bio- and clinical NLP and exposing these researchers to the mainstream ACL research, and a venue for informing the mainstream ACL researchers about the fast growing and important domain. <br />
<br />
The workshop will continue presenting work on a broad and interesting range of topics in NLP. <br />
<br />
We especially encourage submissions on:<br />
- Entity identification and normalization<br />
for a broad range of semantic categories<br />
- Species-independent gene normalization<br />
- Extraction of complex relations<br />
- Discourse analysis<br />
- Anaphora resolution<br />
- Coreference resolution<br />
- Text mining<br />
- Summarization<br />
-- Summarization/translation of clinical data for patients<br />
- Question Answering<br />
<br />
The special track invites contributions from researchers working in NLP approaches for the analysis of language samples to help in the assessment of clinical conditions. Topics of relevance to the special track:<br />
<ul><br />
<li> Development of linguistic resources in support of clinical applications research </li><br />
<li> Identification of clinical markers using NLP techniques </li><br />
<li> NLP techniques for assisting the development of intervention practices </li><br />
<li> Opinion papers related to pursuing this cross-disciplinary research </li><br />
<li> Automated approaches for the identification of clinical conditions from language samples</li><br />
</ul><br />
===KEYNOTE SPEAKER===<br />
<br />
Jun-ichi Tsujii<br />
<br />
===PANEL ON SHARED TASKS===<br />
<br />
TBD<br />
<br />
==SUBMISSION INSTRUCTIONS==<br />
<br />
Two types of submissions are invited: full papers and short papers. <br />
Submissions are due by 11:59 PM EST on Tuesday March 25, 2014. <br />
<br />
<br />
Full papers should not exceed eight (8) pages of text and one page <br />
of references. These are intended to be reports of original research.<br />
BioNLP aims to be the forum for interesting, innovative, and promising <br />
work involving biomedicine and language technology, whether or not <br />
yielding high performance at the moment. <br />
We particularly welcome reports on mature results, strong performance, and thorough evaluation. <br />
Both types of research and combinations thereof are encouraged.<br />
<br />
<br />
Short papers should not exceed four (4) pages plus at most 2 pages for references. <br />
Accepted short papers will be published in a separate section of the <br />
workshop proceedings. <br />
Appropriate short paper topics include preliminary results, application <br />
notes, descriptions of work in progress, etc.<br />
<br />
Electronic Submission:<br />
Submission must be electronic and in PDF format, using the Softconf submission software at <br />
<br />
[https://www.softconf.com/acl2014/BioNLP https://www.softconf.com/acl2014/BioNLP]<br />
<br />
Submissions should follow the two-column format of ACL 2014 proceedings. <br />
Please see the style files and formatting <br />
instructions at http://www.cs.jhu.edu/ACL2014/CallforPapers.htm<br />
<br />
Submissions need to be anonymous. <br />
Authors who cannot submit a PDF file electronically should contact <br />
the workshop organizers well in advance of the submission deadline.<br />
<br />
Dual submission policy: note that papers may NOT be submitted to <br />
the BioNLP 2014 workshop if they are or will be concurrently <br />
submitted to another meeting or publication. <br />
<br />
* Kevin Bretonnel Cohen, University of Colorado School of Medicine<br />
* Dina Demner-Fushman, US National Library of Medicine<br />
* Sophia Ananiadou, National Centre for Text Mining and University of Manchester, UK<br />
* John Pestian, Cincinnati Children's Hospital and Medical Center<br />
* Jun-ichi Tsujii, Microsoft Research Asia<br />
<br />
<br />
Special track organizers:<br />
<br />
* Thamar Solorio, The University of Alabama at Birmingham <br />
* Yang Liu, The University of Texas at Dallas<br />
--></div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=List_of_NLP/CL_courses&diff=12041List of NLP/CL courses2017-11-05T18:17:57Z<p>Pdturney: </p>
<hr />
<div>This page lists university courses that contain substantial content in [[Natural Language Processing]] and [[Computational Linguistics]], and is derived from a [http://www.clt.mq.edu.au/survey/ survey]<br />
sponsored by the [[Association for Computational Linguistics]].<br />
Courses are categorized by level (undergraduate, graduate, or both)<br />
and programming language. The final column gives the year when the<br />
information was confirmed to be accurate. (Entries more than five years<br />
old, and entries with broken hyperlinks, may be culled.)<br />
<br />
* See also [[Teaching]].<br />
<br />
<br />
{| border=1 cellspacing=0 cellpadding=3 style="border-collapse: collapse;"<br />
! Country !! Institution !! Course Name !! Level !! Languages !! Row Updated<br />
|-<br />
|Australia ||Macquarie University ||[http://www.comp.mq.edu.au/units/comp248/ Introduction to Natural Language Processing ] ||Both ||Prolog ||2006<br />
|-<br />
|Australia ||Macquarie University ||[http://www.comp.mq.edu.au/units/comp348/ Document Processing and the Semantic Web ] ||Undergraduate ||Python ||2006<br />
|-<br />
|Australia ||Macquarie University ||[http://www.comp.mq.edu.au/units/comp349/ Spoken Language Dialogue Systems] ||Undergraduate ||Prolog ||2006<br />
|-<br />
|Australia ||University of Melbourne ||[http://www.cs.mu.oz.au/460/ Human Language Technology ] ||Undergraduate ||Python ||2006<br />
|-<br />
|Australia ||University of Melbourne ||[http://webraft.its.unimelb.edu.au/175410/pub/ Computational Linguistics ] ||Undergraduate ||Python ||2006<br />
|-<br />
|Australia ||University of Sydney ||Statistical Natural Language Processing ||Graduate ||Python ||2003<br />
|-<br />
|Austria ||University of Vienna ||Wissensbasierte Sprachverarbeitung ||Graduate ||Prolog ||2003<br />
|-<br />
|Belarus ||Grodno State University ||Introduction to Computational Linguistics ||Undergraduate || ||2003<br />
|-<br />
|Belgium ||Katholieke Universiteit Leuven (K.U.Leuven) ||[http://www.kuleuven.be/onderwijs/aanbod2006/syllabi/H02C8AE.htm Text Based Information Retrieval] ||Both || Java, C, MATLAB ||2006<br />
|-<br />
|Belgium ||Katholieke Universiteit Leuven (K.U.Leuven) ||[http://www.kuleuven.be/onderwijs/aanbod/syllabi/H02B1AE.htm Natural Language Processing] ||Master ||Perl ||2010<br />
|-<br />
|Belgium ||Katholieke Universiteit Leuven (K.U.Leuven) ||[http://www.ccl.kuleuven.be/Courses/LTAI/index.html Linguistic Theories and Artificial Intelligence] ||Master || ||2010<br />
|-<br />
|Belgium ||Katholieke Universiteit Leuven (K.U.Leuven) ||[http://www.kuleuven.ac.be/onderwijs/aanbod/syllabi/F0AR3AN.htm Computerlinguïstiek]||Undergraduate||Perl ||2010<br />
|-<br />
|Belgium ||University of Antwerp ||[https://www.uantwerpen.be/popup/opleidingsonderdeel.aspx?catalognr=2010FLWTAA&taal=en&aj=2015 Computational Linguistics] ||Master || Python ||2016<br />
|-<br />
|Belgium ||University of Antwerp ||[https://www.uantwerpen.be/popup/opleidingsonderdeel.aspx?catalognr=2011FLWTAA&taal=en&aj=2015 Computational Models of Language Understanding ] ||Master ||Python ||2016<br />
|-<br />
|Belgium ||University of Antwerp ||[https://www.uantwerpen.be/popup/opleidingsonderdeel.aspx?catalognr=2012FLWTAA&taal=en&aj=2015 Commputational Psycholinguistics ] ||Master || ||2016<br />
|-<br />
|Brazil ||Universidade Federal de Santa Catarina || Lingüística Computacional ||Graduate ||Perl Prolog ||2003<br />
|-<br />
|Brazil ||Universidade Federal de Santa Catarina || Lingüística Computacional I/II ||Undergraduate ||Perl Prolog ||2003<br />
|-<br />
|Brazil ||Universidade Federal de São Carlos ||Topics on Informatics (Introduction on NLP) ||Graduate ||C C++ Prolog ||2003<br />
|-<br />
|Brazil ||Universidade de São Paulo (ICMC-São Carlos) ||[http://uspdigital.usp.br/janus/componente/disciplinasOferecidasInicial.jsf?action=3&sgldis=SCC5869 Topics on NLP I ] ||Graduate || ||2012<br />
|-<br />
|Brazil ||Universidade de São Paulo (ICMC-São Carlos) ||[http://uspdigital.usp.br/janus/componente/disciplinasOferecidasInicial.jsf?action=3&sgldis=SCC5928 Topics on NLP II ] ||Graduate || ||2012<br />
|-<br />
|Brazil ||Universidade de São Paulo (ICMC-São Carlos) ||[http://uspdigital.usp.br/janus/componente/disciplinasOferecidasInicial.jsf?action=3&sgldis=SCC5908 Introduction to NLP ] ||Graduate || ||2012<br />
|-<br />
|Brazil ||Universidade Estadual Paulista (UNESP) || Tecnologias da Linguagem Humana|| Undergraduate ||Prolog||2005<br />
|-<br />
|Brazil ||Universidade Estadual Paulista (UNESP) || Processamento Automático de Línguas Naturais ||Graduate ||Prolog ||2005<br />
|-<br />
|Canada ||Concordia University ||Statistical Language Processing ||Graduate || Java C++ Perl ||2006<br />
|-<br />
|Canada ||Simon Fraser University ||[http://www.cs.sfu.ca/~anoop/courses/CMPT-413-Spring-2005/index.html Computational Linguistics ] || Undergraduate ||Perl ||2005<br />
|-<br />
|Canada ||Simon Fraser University ||[http://www.cs.sfu.ca/~anoop/courses/CMPT-825-Spring-2006/index.html Natural Language Processing ] ||Graduate ||Perl ||2006<br />
|-<br />
|Canada ||Simon Fraser University ||[http://www.cs.sfu.ca/~anoop/courses/CMPT-882-Fall-2002/index.html Statistical Learning of Natural Language ] ||Graduate || ||2003<br />
|-<br />
|Canada ||Université de Montréal ||Grammaires formelles ||Undergraduate ||Prolog ||2003<br />
|-<br />
|Canada ||Université de Montréal ||Indexation et condensation automatiques ||Graduate || ||2003<br />
|-<br />
|Canada ||Université de Montréal ||Morphologie computationnelle ||Graduate ||Prolog ||2003<br />
|-<br />
|Canada ||Université. de Montréal ||Syntaxe computationnelle ||Graduate ||Prolog ||2003<br />
|-<br />
|Canada ||University of Alberta || [http://www.cs.ualberta.ca/~kondrak/cmput650 Natural Language Processing ]||Graduate ||Perl ||2006<br />
|-<br />
|Canada ||University of Montreal ||Computational Linguistics ||Graduate ||Prolog ||2003<br />
|-<br />
|Canada ||University of Ottawa ||[http://www.site.uottawa.ca/~diana/csi5180/ Statistical Techniques for Natural Language Processing ] ||Graduate || Perl Java||2004<br />
|-<br />
|Canada ||University of Ottawa ||[http://www.site.uottawa.ca/~szpak/teaching/5386/ Natural Language Processing ] ||Graduate || Prolog Perl||2006<br />
|-<br />
|Canada ||University of Toronto ||[http://www.cs.toronto.edu/~suzanne/2501/index.html Computational Linguistics] ||Both||C++ ||2006<br />
|-<br />
|Canada ||University of Toronto ||[http://www.cs.toronto.edu/~gpenn/csc401 Natural Language Computing ] ||Both ||Python ||2008<br />
|-<br />
|Canada ||University of Toronto ||[http://www.cs.utoronto.ca/~gh/Courses/2528/index.html Advanced computational linguistics ] ||Graduate || ||2006<br />
|-<br />
|CHINA ||Nanjing Normal University || Statistical Natural Language Processing ||Graduate || C++ ||2007<br />
|-<br />
|CHINA ||Nanjing University || Machine Translation ||Graduate || ||2006<br />
|-<br />
|Costa Rica ||Universidad de Costa Rica ||[http://espanol.groups.yahoo.com/group/fl-1036/ Tecnologías y producción textual I ] ||Undergraduate || ||2003<br />
|-<br />
|Costa Rica ||Universidad de Costa Rica ||Tecnologías y producción textual ||Graduate || ||2003<br />
|-<br />
|Czech Republic ||Charles University ||[http://ufal.mff.cuni.cz/~hajic/courses/pfl043/0203/syllabus.html Statistical methods in NLP ] ||Both ||Perl ||2003<br />
|-<br />
|Czech Republic ||Silesian University ||[http://ui.fpf.slu.cz/sylaby.html (BROKEN LINK) Natural Language Processing I/II ] ||Undergraduate || ||2003<br />
|-<br />
|Denmark ||Copenhagen University || [http://studies.ku.dk/masters/it-and-cognition/programme-structure/ Language Processing] || Graduate || Python || 2014<br />
|-<br />
|Denmark ||University of Southern Denmark, Odense ||[http://visl.hum.sdu.dk/members/sharder/undervisning/compling02/ Introduction to Computational Linguistics ] ||Both ||Prolog ||2003<br />
|-<br />
|Estonia ||University of Tartu ||[http://www.cs.ut.ee/~koit/ Computational Models in Language Understanding ] ||Both ||C++ ||2003<br />
|-<br />
|Estonia ||University of Tartu ||[http://www.cs.ut.ee/~koit/ Introduction to Computational Linguistics ] ||Both ||Prolog ||2003<br />
|-<br />
|Estonia ||University of Tartu ||[http://www.cs.ut.ee/~koit/ Mathematics for Computational Linguists II ] ||Undergraduate || ||2003<br />
|-<br />
|Finland ||Helsinki University of Technology ||[http://www.cis.hut.fi/Opinnot/T-61.6090/ Special Course in Language Technology ] || Graduate || || 2006<br />
|-<br />
|Finland ||Helsinki University of Technology ||[http://www.cis.hut.fi/Opinnot/T-61.5020/ Statistical and Adaptive Natural Language Processing ] || Both || || 2006<br />
|-<br />
|Germany ||Saarland University ||[http://www.coli.uni-sb.de/~hansu/gf02.html Grammar Formalisms ] ||Undergraduate || ||2003<br />
|-<br />
|Germany ||Saarland University ||[http://www.coli.uni-sb.de/~hansu/vlcl01.html Introduction to Computational Linguistics ] ||Undergraduate || ||2003<br />
|-<br />
|Germany ||Saarland University ||[http://www.ps.uni-sb.de/~niehren/Web/Vorlesungen/Oz-NL-SS01/BookHomePage.html Concurrent constraint programming for natural language processing ] ||Both || Mozart Oz ||2003<br />
|-<br />
|Germany ||Universität Tübingen ||Computational Linguistics 1: Parsing ||Undergraduate ||Java ||2003<br />
|-<br />
|Germany ||University of Bremen ||Introduction to Natural Language Generation ||Undergraduate ||Lisp ||2003<br />
|-<br />
|Germany ||University of Bremen ||[http://www.cl.uni-bremen.de/~stefan/Lehre/CL/ Einführung in die Computerlinguistik ]||Undergraduate || ||2006<br />
|-<br />
|Germany ||University of Bremen ||[http://www.cl.uni-bremen.de/~stefan/Lehre/GE-Trale/ Einführung in die Grammatikentwicklung ]||Both || ||2006<br />
|-<br />
|Germany ||University of Dusseldorf ||[http://web.phil-fak.uni-duesseldorf.de/~kilbury/courses.htm Introduction to Computational Linguistics ] ||Undergraduate || ||2003<br />
|-<br />
|Germany ||University of Heidelberg ||[http://kontext.fraunhofer.de/haenelt/kurs/Parsing Parsing ] ||Graduate ||C Java Perl ||2003<br />
|-<br />
|Greece||Athens University of Economics and Business ||[http://eclass.aueb.gr/courses/INF153/ Artificial Intelligence]||Undergraduate ||C++ Java Prolog ||2010<br />
|-<br />
|Greece||Athens University of Economics and Business ||[http://eclass.aueb.gr/courses/INF210/ Language Technology]||Graduate ||C++ Java Prolog ||2010<br />
|-<br />
|Greece||Athens University of Economics and Business ||[http://eclass.aueb.gr/courses/INF154/ Logic and Artificial Intelligence]||Graduate ||C++ Java Prolog ||2010<br />
|-<br />
|India ||Assam University ||Natural Language Processing ||Graduate ||C C++ ||2003<br />
|-<br />
|India ||Banasthali University ||Natural Language Processing ||Graduate ||Perl Java Prolog Python ||2009<br />
|-<br />
|India || Indian Institute of Information Technology Allahabad || Natural Language Processing || Undergraduate Graduate || Java LISP Prolog Perl || 2005<br />
|-<br />
|India || Indian Institute of Science Bangalore ||[https://sites.google.com/site/2015e1246/ Natural Language Understanding] || Both || || 2015<br />
|-<br />
|India || Indian Institute of Science Bangalore ||[https://sites.google.com/site/se3052014 Topics in Large-scale Knowledge Harvesting] || Graduate || || 2014<br />
|-<br />
|India || Indian Institute of Technology Bombay ||[http://www.cse.iitb.ac.in/~cs460 Natural Language Processing] || both || Java Perl Prolog || 2004<br />
|-<br />
|India || International Institute of Information Technology IIIT Hyderabad || Natural Language Processing || both || Perl Python Java || 2001<br />
|-<br />
|India || International Institute of Information Technology IIIT Hyderabad || Applications to Natural Language Processing || both || Perl Python Java || 2001<br />
|-<br />
|Iran || University of Tehran ||[http://ece.ut.ac.ir/Classpages/S87/ECE500/index.htm Intelligent Information Retrieval ] ||both || ||2008<br />
|-<br />
|Iran || University of Tehran ||[http://ece.ut.ac.ir/classpages/F85/NaturalLanguageProcessing/ Natural Language Processing ] ||both || ||2008<br />
|-<br />
|Ireland ||Dublin City University ||[http://www.compapp.dcu.ie/~john/ca261.html Computational Linguistics 2 ] ||Undergraduate ||Java Perl ||2003<br />
|-<br />
|Ireland ||Dublin City University ||[http://www.computing.dcu.ie/~away/CL2/cl.html Computational Linguistics I ] ||Undergraduate ||Prolog ||2003<br />
|-<br />
|Israel ||University of Haifa ||[http://cs.haifa.ac.il/~shuly/teaching/index.html Computational Linguistics ] ||Both || ||2006<br />
|-<br />
|Italy ||University of Bologna ||[http://www.cilta.unibo.it/LingComp/ Linguistica Computazionale ] ||Both || ||2003<br />
|-<br />
|Italy ||Universita' di Padova ||Natural Language Processing ||Graduate ||C++ Perl ||2003<br />
|-<br />
|Italy ||University of Siena||[http://www.ciscl.unisi.it/corsi.htm?id=29 Linguistica Computazionale ] ||Both || C Java PHP ||2006<br />
|-<br />
|Japan ||Japan Advanced Institute of Science and Technology ||[http://www.jaist.ac.jp/~gakusei/kyoumu/syllabi22/eng/2010_1I223.html Natural Language Processing I] ||Graduate ||C Perl ||1998<br />
|-<br />
|Japan ||Japan Advanced Institute of Science and Technology ||[http://www.jaist.ac.jp/~gakusei/kyoumu/syllabi22/eng/2010_1I414.html Natural Language Processing II] ||Graduate ||C Perl ||2001<br />
|-<br />
|Japan ||Japan Advanced Institute of Science and Technology ||[http://www.jaist.ac.jp/~gakusei/kyoumu/syll14/k417e.html Methodology for Knowledge Discovery ] ||Graduate ||C Perl ||2003<br />
|-<br />
|Japan ||Yamagata University ||[http://www.yz.yamagata-u.ac.jp Natural Language Processing ] ||Undergraduate || ||2003<br />
|-<br />
|Japan ||Yamaguchi University ||Introduction to Computational Linguistics ||Undergraduate || ||2003<br />
|-<br />
|Korea ||Postech ||[http://nlp.postech.ac.kr/Course/CS704/index.html Machine Learning for NLP ] ||Graduate ||C C++ ||2003<br />
|-<br />
|Korea ||Postech, Korea ||[http://nlp.postech.ac.kr/Course/CS730b/2001/index.html Statistical Natural Language Processing ] ||Graduate ||C C++ ||2003<br />
|-<br />
|Malta||University of Malta ||[http://www.um.edu.mt/linguistics/human_language_technology/hlt BSc in Human Language Technology ] ||undergraduate ||python ||2016<br />
|-<br />
|Malta||University of Malta ||[http://www.um.edu.mt/linguistics/human_language_technology/msc MSc in Language and Computation ] || MSc ||python ||2016<br />
|-<br />
|Mexico ||National Polytechnic Institute ||[http://www.gelbukh.com/clbook/ Computational linguistics] ||Both || Perl, C++ ||2010<br />
|-<br />
|Mexico ||National Polytechnic Institute ||[http://www.gelbukh.com/courses/ Information Retrieval] ||Both || Perl, C++ ||2010<br />
|-<br />
|New Zealand ||University of Otago ||Computational linguistics ||Graduate ||Prolog ||2003<br />
|-<br />
|Norway ||University of Trondheim ||[http://www.idi.ntnu.no/~natlang/ Natural Language Interfaces ] ||Undergraduate ||Prolog ||2003<br />
|-<br />
|Poland ||Warsaw University ||[https://usosweb.mimuw.edu.pl/kontroler.php?_action=actionx:katalog2/przedmioty/pokazPrzedmiot(prz_kod:3301-JF-21J-SO) Computational Syntax ] ||Undergraduate ||Prolog ||2007<br />
|-<br />
|Poland ||Warsaw University ||[https://usosweb.mimuw.edu.pl/kontroler.php?_action=actionx:katalog2/przedmioty/pokazPrzedmiot(prz_kod:1000-2M07LK) Linguistic Engineering - Constructions ] ||Both ||Perl, Python, etc. ||2007<br />
|-<br />
|Poland ||Warsaw University ||[https://usosweb.mimuw.edu.pl/kontroler.php?_action=actionx:katalog2/przedmioty/pokazPrzedmiot(prz_kod:1000-2M07LS) Linguistic Engineering - Words ] ||Both ||Perl, Python, etc. ||2007<br />
|-<br />
|Portugal ||University of Lisbon ||[http://www.di.fc.ul.pt/sobre/?lei-detalhesdisciplinas#PLN Natural Language Processing ] ||Both ||Prolog ||2003<br />
|-<br />
|Portugal ||University of Lisbon ||[http://www.di.fc.ul.pt/sobre/?lei-detalhesdisciplinas#ILN Interaction in Natural Language ] ||Both ||C Java Perl Prolog Python ||2003<br />
|-<br />
|Portugal ||University of Lisbon ||[http://www.di.fc.ul.pt/sobre/?lei-detalhesdisciplinas#MQL Quantitative Language Nodelling ] ||Both ||Java Perl Prolog Python ||2003<br />
|-<br />
|Romania ||University A.I. Cuza, Iasi ||[http://www.infoiasi.ro/fcs/en/plan/plan-1-ml.html Introduction to Computational Linguistics, Corpus Linguistics ] ||Graduate ||C C++ Java Lisp Perl ||2003<br />
|-<br />
|Slovenia ||University of Ljubljana ||[http://www.ff.uni-lj.si/hp/pj/seminar/bes_in_rac.html Besedilo in ra&#269;unalnik ] ||Undergraduate || ||2003<br />
|-<br />
|Singapore ||National University of Singapore ||[http://www.comp.nus.edu.sg/ Natural Language Processing ] ||Both || ||2012<br />
|-<br />
|Spain ||University of the Basque Country and Udako Euskal Unibertsitatea ||[http://ixa.si.ehu.eus/master Hizkuntzaren Azterketa eta Prozesamendua (Analysis and Processing of Language) ] ||Graduate || Perl ||2008<br />
|-<br />
|Spain ||University of the Basque Country ||[http://ixa.si.ehu.eus/master Lengoaia Naturalaren Prozesamendua (Natural Language Processing) ] ||Undergraduate ||Lisp Prolog Python||2008<br />
|-<br />
|Spain ||Universidad Complutense de Madrid || Lingüística Computacional ||Undergraduate ||Lisp Prolog ||2003<br />
|-<br />
|Spain ||Universitat Autònoma de Barcelona ||[http://liceu.uab.es/~joaquim/Tecnologies_Parla.html Tecnologies de la parla (Speech Technologies) ] ||Graduate || ||2006<br />
|-<br />
|Spain ||Universidad Autónoma de Madrid ||[http://www.eps.uam.es/~ealfon/nlp/ Procesamiento de Lenguaje Natural ] ||Graduate || ||2006<br />
|-<br />
|Spain ||Universidade da Coruña ||[http://www.grupolys.org/docencia/ln/ Lenguajes Naturales ] ||Undergraduate ||Java C Python ||2009<br />
|-<br />
|Sri Lanka ||University of Colombo School of Computing||Natural Language Processing ||Both ||Prolog, Python ||2009<br />
|-<br />
|Sweden ||[http://www.gu.se/ Göteborg University] ||[http://www.cling.gu.se/ Computational Linguistics ] ||Undergraduate ||Java Prolog Python Oz Perl||2006<br />
|-<br />
|Sweden ||Linköping University ||[http://www.ida.liu.se/~TDDB71/ Språkteknologi (Language technology) ] ||Undergraduate ||Java Lisp Perl ||2003<br />
|-<br />
|Sweden ||Linköping University ||[http://www.ida.liu.se/~TDDB73/ Språkteknologiska system (Language Engineering Systems) ] ||Undergraduate ||Java Lisp ||2003<br />
|-<br />
|Sweden ||Lunds tekniska högskola ||[http://www.cs.lth.se/Education/Courses/EDA171/ Language processing and computational linguistics ] ||Undergraduate ||Perl Prolog ||2006<br />
|-<br />
|Sweden ||[http://www.gslt.hum.gu.se/ Swedish National Graduate School of Language Technology] ||[http://www.gslt.hum.gu.se/courses/ Ph.D. Courses in Language Technology ] ||Graduate || ||2006<br />
|-<br />
|Sweden ||Uppsala University ||[http://stp.lingfil.uu.se/utbildning/ Language Technology ] ||Undergraduate ||Java Prolog Python||2006<br />
|-<br />
|Sweden ||Växjö University ||[http://w3.msi.vxu.se/~nivre/teaching/nlp/dac723.html Language Technology ] ||Undergraduate || ||2006<br />
|-<br />
|Switzerland ||Swiss Federal Institute of Technology ||[http://lithwww.epfl.ch/teaching/rdf/ Pattern Recognition ] ||Undergraduate ||C++ Perl ||2003<br />
|-<br />
|Switzerland ||University of Zurich ||[http://www.cl.unizh.ch/siclemat/lehre/ss02/pcl2/ Programming Techniques in Computational Linguistics II ] ||Undergraduate ||Prolog ||2003<br />
|-<br />
|Switzerland ||University of Zurich ||[http://www.cl.unizh.ch/siclemat/lehre/ws0102/pcl1/ Programming Techniques in Computational Linguistics I ] ||Undergraduate ||Prolog ||2003<br />
|-<br />
|Switzerland ||University of Zurich ||[http://www.ifi.unizh.ch/CL/hess/classes/dsa/ Discourse Analysis ] ||Graduate ||Prolog ||2003<br />
|-<br />
|Switzerland ||University of Zurich ||[http://www.ifi.unizh.ch/CL/hess/classes/ecl Introduction to Computational Linguisticss ] ||Undergraduate ||Prolog ||2003<br />
|-<br />
|Switzerland ||University of Zurich ||[http://www.ifi.unizh.ch/CL/hess/classes/mki/ AI Methods in Computational Linguistics ] ||Graduate ||Prolog ||2003<br />
|-<br />
|Switzerland ||University of Zurich ||[http://www.ifi.unizh.ch/CL/hess/classes/sma/ Methods of Semantic Analysis ] ||Undergraduate ||Prolog ||2003<br />
|-<br />
|Switzerland ||Zurich University ||[http://www.ifi.unizh.ch/cl/klenner/lehre/ws0203/fg.html/ Statistical Natural Language Processing ] ||Undergraduate || ||2003<br />
|-<br />
|Taiwan ||[http://www.nccu.edu.tw/english/main.php National Chengchi University] || [http://www.cs.nccu.edu.tw/~chaolin/courses/nlp06f.html Natural Language Processing] || Graduate || student choice || 2006<br />
|-<br />
|Taiwan ||National Taiwan University ||[http://nlg.csie.ntu.edu.tw/courses/IR/course_IR.html Information Retrieval and Extraction] ||Both ||Student Choice ||2006<br />
|-<br />
|Taiwan ||National Taiwan University ||[http://nlg.csie.ntu.edu.tw/courses/NLP/ Natural Language Processing] ||Both ||Student Choice||2006<br />
|-<br />
|Taiwan ||National Tsing Hua University ||Natural Language Processing ||Graduate ||Foxpro ||2006<br />
|-<br />
|Taiwan ||National Tsing Hua University ||Natural Language Processing Lab ||Graduate ||Foxpro ||2006<br />
|-<br />
|Taiwan ||The Institute of Linguistics, Academia Sinica ||[http://clclp.ling.sinica.edu.tw/ Computational Linguistics and Chinese Language Processing] ||Graduate || ||2005<br />
|-<br />
|Thailand ||Chulalongkorn University ||[http://pioneer.chula.ac.th/~awirote/ling/2209674.htm Computational Linguistics I ] ||Graduate ||Perl Prolog ||2003<br />
|-<br />
|Turkey ||Middle East Technical University ||[http://www.ceng.metu.edu.tr/~bozsahin/nli/ceng563/ computational linguistics I ] ||Graduate ||Prolog ||2003<br />
|-<br />
|Turkey ||Middle East Technical University ||[http://www.ceng.metu.edu.tr/~bozsahin/nli/ceng584/ cognitive aspects of NLP ] ||Graduate ||C Java Lisp Prolog ||2003<br />
|-<br />
|UK ||Imperial College ||[http://www.hu.ic.ac.uk/translation Introduction to Language Engineering ] ||Graduate || ||2003<br />
|-<br />
|UK ||Loughborough University ||[http://www.lboro.ac.uk/departments/co/teaching/mcomp.html (BROKEN LINK) Natural Language and Speech Systems ] ||Undergraduate || ||2003<br />
|-<br />
|UK ||University of Birmingham ||[http://www.cs.bham.ac.uk/internal/modules/current/02495.html Natural Language Processing 1 ] ||Undergraduate ||Prolog ||2006<br />
|-<br />
|UK ||University of Birmingham ||[http://www.cs.bham.ac.uk/internal/modules/current/11223.html Natural Language Processing and Applications ] ||Both || ||2006<br />
|-<br />
|UK ||University of Birmingham ||[http://www.cs.bham.ac.uk/internal/modules/current/02648.html Natural Language Processing 2 ] ||Both || ||2006<br />
|-<br />
|UK ||University of Brighton ||[http://www.itri.brighton.ac.uk/courses/MScLex (BROKEN LINK) MSc in Lexical Computing and Lexicography ] ||Graduate ||Awk Perl ||2003<br />
|-<br />
|UK ||University of Brighton ||[http://www.itri.brighton.ac.uk/ Lexical Computing and Lexicography ] ||Graduate ||Perl ||2003<br />
|-<br />
|UK ||University of Cambridge ||[http://www.cl.cam.ac.uk/Teaching/current/NLP/ Natural Language Processing ] ||Undergraduate || ||2010<br />
|-<br />
|UK ||University of Cambridge ||[http://www.cl.cam.ac.uk/admissions/acs/ MPhil in Advanced Computer Science] ||Graduate || || 2010<br />
|-<br />
|UK ||University of Edinburgh ||[http://www.ling.ed.ac.uk/teaching/postgrad/mscslp/ M.Sc. in Speech and Language Processing ] ||Graduate ||Java Perl Prolog Python ||2003<br />
|-<br />
|UK ||University of Essex ||[http://courses.essex.ac.uk/lg/LG511 Computatiuonal Linguistics 1 ] ||Graduate ||Prolog ||2003<br />
|-<br />
|UK ||University of Essex ||[http://courses.essex.ac.uk/lg/LG519 Prolog I ] ||Graduate ||Prolog ||2003<br />
|-<br />
|UK ||University of Essex ||[http://courses.essex.ac.uk/lg/LG611 Computational Linguistics II ] ||Graduate ||Prolog ||2003<br />
|-<br />
|UK ||University of Essex ||[http://courses.essex.ac.uk/lg/LG619 Prolog II ] ||Graduate ||Prolog ||2003<br />
|-<br />
|UK ||University of Essex ||[http://cswww.essex.ac.uk/staff/poesio/cc437 Advanced Natural Language Engineering ] ||Graduate ||Java Perl ||2003<br />
|-<br />
|UK ||University of Leeds ||[http://www.comp.leeds.ac.uk/eric/ar32/ Natural Language Processing ] ||Both ||C++ Java Perl Prolog ||2003<br />
|-<br />
|UK ||University of Leeds ||[http://www.leeds.ac.uk/cts Computers and the Translator ] ||Undergraduate || ||2003<br />
|-<br />
|UK ||University of Leeds ||[http://www.leeds.ac.uk/cts Principles and Applications of MT ] ||Graduate || ||2003<br />
|-<br />
|UK ||University of Sheffield ||[http://www.shef.ac.uk/dcs/postgrad/taught/hlt.html M.Sc. Human Language Technology ] ||Postgraduate || ||2006<br />
|-<br />
|UK ||University of Sheffield ||[http://www.dcs.shef.ac.uk/intranet/teaching/modules/art/2005-6/stevenson.htm Language Engineering: Information Extraction ] ||Both || ||2006<br />
|-<br />
|UK ||University of Sheffield ||[http://www.dcs.shef.ac.uk/intranet/teaching/modules/level3/com4250.html Natural Language Processing ] ||Both ||Python ||2014<br />
|-<br />
|UK ||University of Sheffield ||[http://www.dcs.shef.ac.uk/intranet/teaching/modules/level3/com3110.html Text Processing ] ||Both ||Python ||2014<br />
|-<br />
|UK ||University of Sussex ||[http://www.informatics.sussex.ac.uk/courses/nlp/ Natural Language Processing ] ||Both ||Prolog Java||2006<br />
|-<br />
|UK ||University of Ulster ||[http://www.infj.ulst.ac.uk/nlp/ Natural Language Processing ] ||Undergraduate || ||2003<br />
|-<br />
|USA ||Arizona State University ||[http://www.eas.asu.edu/~cse476 (BROKEN LINK) Introduction to Natural Language Processing ] ||Both ||Java Prolog ||2003<br />
|-<br />
|USA ||Brandeis University ||[http://www.brandeis.edu/gsas/programs/comp_ling.html MA and PhD programs in Computational Linguistics ] ||Both ||Python, Lisp, Java ||2010 <br />
|-<br />
|USA ||Brigham Young University ||[http://faculty.cs.byu.edu/~ringger/CS401R/ Statistical Natural Language Processing ] ||Both ||Java ||2005 <br />
|-<br />
|USA ||Brigham Young University ||[http://faculty.cs.byu.edu/~ringger/CS601R/ Text Mining ] ||Graduate ||Java ||2007<br />
|-<br />
|USA ||Brown University ||[http://cog.brown.edu/~mj/classes/cg136/ Introduction to Computational Linguistics ] ||Both ||Python ||2006<br />
|-<br />
|USA ||Brown University ||[http://www.cs.brown.edu/courses/cs241/ Statistical Natural-Language Processing ] ||Graduate || ||2003<br />
|-<br />
|USA || Carnegie Mellon University || [http://www.cs.cmu.edu/~nasmith/NLP Natural Language Processing] || Undergraduate || various || 2008<br />
|-<br />
|USA ||Carnegie Mellon University ||[http://www.cs.cmu.edu/afs/cs.cmu.edu/project/cmt-55/lti/Courses/711/www/ Algorithms for Natural Language Processing ] ||Graduate || ||2006<br />
|-<br />
|USA ||Carnegie Mellon University ||[http://www.cs.cmu.edu/afs/cs.cmu.edu/project/cmt-55/lti/Courses/721/2006/www/ Grammars and Lexicons ] ||Graduate || LISP ||2006<br />
|-<br />
| USA || Carnegie Mellon University || [http://www.cs.cmu.edu/~roni/11761-s07 Language and Statistics I] || Graduate || || 2007<br />
|-<br />
| USA || Carnegie Mellon University || [http://www.cs.cmu.edu/~nasmith/LS2 Language and Statistics II] || Graduate || || 2007<br />
|-<br />
|USA ||Carleton College ||[http://www.mathcs.carleton.edu/faculty/jondich/cs395/ (BROKEN LINK) Natural Language Processing ] ||Undergraduate ||C++ Perl ||2003<br />
|-<br />
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs172 Computation, Information, and Intelligence ] ||Undergraduate || ||2008<br />
|-<br />
|USA ||Cornell University ||[http://courses.cit.cornell.edu/ling4424 Computational Linguistics ] ||Undergraduate || ||2013<br />
|-<br />
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs4300 Information Retrieval ] ||Undergraduate || ||2013<br />
|-<br />
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs4740 Introduction to Natural Language Processing ] ||Undergraduate || ||2014<br />
|-<br />
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs6740 Advanced Language Technologies ] ||Graduate || ||2012<br />
|-<br />
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs6742 Natural Language Processing and Social Interaction ] ||Graduate || ||2014<br />
|-<br />
|USA ||Cornell University || Speech Synthesis by Rule||Graduate || ||2008<br />
|-<br />
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs775/2001sp/default.html Statistical Natural Language Processing: Models and Methods ] ||Graduate || ||2010<br />
|-<br />
|USA ||CUNY Graduate Center ||[http://bb.gc.cuny.edu/ (BROKEN LINK) Language Technology ] ||Graduate ||Perl ||2003<br />
|-<br />
|USA ||Emory University ||[https://github.com/emory-courses/cs329 Computational Linguistics ] ||Undergraduate ||Python ||2016<br />
|-<br />
|USA ||Emory University ||[https://github.com/emory-courses/cs571 Natural Language Processing ] ||Both ||Java, Python ||2015<br />
|-<br />
|USA ||Georgetown University ||[http://www9.georgetown.edu/faculty/mad87/06/362/ Introduction to Natural Language Processing ] ||Both ||Perl ||2006<br />
|-<br />
|USA ||Georgetown University ||[http://www.georgetown.edu/faculty/wilsong/Tools/Ling367.html Computational Linguistics: Tools for Linguists ] ||Both || ||2006<br />
|-<br />
|USA ||Georgetown University ||[http://www9.georgetown.edu/faculty/mad87/06/561/ Seminar: Computational Linguisics ] ||Graduate ||Python ||2006<br />
|-<br />
|USA ||Georgetown University ||[http://www9.georgetown.edu/faculty/mad87/06/420/ Statistical NLP] ||Both ||Python ||2006<br />
|-<br />
|USA ||Harvard University ||[http://www.courses.fas.harvard.edu/~cs187/ Introduction to Computational Linguistics ] ||Both ||Prolog ||2006<br />
|-<br />
|USA ||Hunter College CUNY ||[http://bb.hunter.cuny.edu/ Language Technology ] ||Undergraduate ||C++ ||2003<br />
|-<br />
|USA ||Johns Hopkins University ||[http://www.cs.jhu.edu/~jason/465 Natural Language Processing ] ||Both ||student choice ||2006<br />
|-<br />
|USA ||Johns Hopkins University ||[http://www.clsp.jhu.edu/~sanjeev/520.666/ Information Extraction ] ||Graduate || ||2006<br />
|-<br />
|USA ||Johns Hopkins University ||[http://www.cs.jhu.edu/~jason/465 Seminar in Natural Language Processing ] ||Graduate || ||2006<br />
|-<br />
|USA ||Johns Hopkins University ||[http://cs.jhu.edu/~jason/405/ Finite-State Methods in Natural Language Processing ] ||Graduate || ||2003<br />
|-<br />
|USA ||Johns Hopkins University ||[http://cs.jhu.edu/~jason/665/ Statistical Language Learning ] ||Graduate || ||2003<br />
|-<br />
|USA ||Johns Hopkins University ||[http://apl.jhu.edu/~paulmac/ir.html Information Retrieval ] ||Graduate || ||2010<br />
|-<br />
|USA ||The Ohio State University ||[http://www.cse.ohio-state.edu/~fosler/794L/ Foundations of Spoken Language Processing ] ||Both ||MATLAB student choice ||2006<br />
|-<br />
|USA ||The Ohio State University ||[http://www.cse.ohio-state.edu/cgi-bin/syllabus-view.cgi?cgi_state=view;SYLLABUS_ID=598 Computational Linguistics ] ||Both ||Java ||2006<br />
|-<br />
|USA ||The Ohio State University ||[http://ling.ohio-state.edu/courses/course_info/?course_no=684.01 Symbolic Computational Linguistics ] ||Both || Prolog ||2003<br />
|-<br />
|USA ||The Ohio State University ||[http://ling.ohio-state.edu/courses/course_info/?course_no=684.02 Data-Intensive Computational Linguistics ] ||Both || Python ||2003<br />
|-<br />
|USA ||The Ohio State University ||[http://ling.ohio-state.edu/courses/course_info/?course_no=684.03 Computational Semantics ] ||Both || Prolog ||2006<br />
|-<br />
|USA ||Purdue University ||[http://min.ecn.purdue.edu/~ee669/ Natural Language Processing ] ||Graduate ||C C++ Java Lisp Perl Python ||2003<br />
|-<br />
|USA ||Rutgers University ||[http://www.cs.rutgers.edu/~mdstone/class/533 (BROKEN LINK) Natural Language Processing ] ||Both ||Java Perl Prolog ||2003<br />
|-<br />
|USA ||San Diego State University ||Computational Corpus Linguistics ||Both ||Python ||2006<br />
|-<br />
|USA ||San Diego State University ||Introduction to Computational Linguistics ||Both ||Python ||2006<br />
|-<br />
|USA ||Smith College ||Introduction to Computational Linguistics ||Undergraduate ||Lisp ||2003<br />
|-<br />
|USA ||Stanford University ||[http://www.stanford.edu/class/cs224n/ Natural Language Processing ] ||Both ||Java ||2006<br />
|-<br />
|USA ||Stanford University ||[http://www.stanford.edu/class/linguist180/ Introduction to Computer Speech and Language Processing ] ||Undergraduate ||Perl Python Java ||2006<br />
|-<br />
|USA ||Stanford University ||[http://www.stanford.edu/class/linguist288/ Natural Language Understanding ] ||Both || ||2006<br />
|-<br />
|USA ||Stanford University ||[http://www.stanford.edu/~mjkay/ Human and Machine Translation]||Both || ||2006<br />
|-<br />
|USA ||Stanford University ||[http://www.stanford.edu/~mjkay/ Programming and Algorithms for NLP]||Both || ||2006<br />
|-<br />
|USA ||Stanford University || Finite-State Methods in NLP||Both || ||2006<br />
|-<br />
|USA ||Stony Brook University ||[http://www.cs.sunysb.edu/~cse507 (BROKEN LINK) Introduction to Computational Linguistics ] ||Graduate ||Java Perl Prolog ||2003<br />
|-<br />
|USA ||SUNY Buffalo ||[http://www.cse.buffalo.edu/faculty/alphonce/Courses/Fall2006/cse467 Computational Linguistics ] ||Both||Lisp Perl||2006<br />
|-<br />
|USA ||SUNY Buffalo ||[http://www.cse.buffalo.edu/~rapaport/675.html Advanced Topics in Computational Linguistics ] ||Graduate ||Lisp ||2006<br />
|-<br />
|USA ||The University of Chicago ||[http://humanities.uchicago.edu/faculty/goldsmith/StatNLP/index.htm Statistical NLP ] ||Graduate ||Perl ||2003<br />
|-<br />
|USA ||University of California, Berkeley ||[http://www.cs.berkeley.edu/~klein/cs294-5/index.html Statistical NLP ] ||Graduate ||Java ||2005<br />
|-<br />
|USA ||University of California, San Diego ||[http://ling.ucsd.edu/~kehler/ling165.html Computational Linguistics ] ||Undergraduate ||Prolog ||2003<br />
|-<br />
|USA ||University of California, San Diego || Natural Language Processing in LISP ||Graduate ||Lisp ||2003<br />
|-<br />
|USA ||University of Colorado, Boulder || [http://verbs.colorado.edu/~mpalmer/Ling7800/index.html Advanced Computational Linguistics] || Graduate ||||2007<br />
|-<br />
|USA ||University of Colorado, Boulder || [http://www.colorado.edu/catalog/catalog05-06/cgi-bin/search.pl?abbr=ling&num=5200 Computational Corpus Linguistics ] || Graduate || Python || 2009<br />
|-<br />
|USA ||University of Colorado, Boulder || [http://www.colorado.edu/catalog/catalog09-10/search.pl?abbr=CSCI&num=5832&=Search Natural Language Processing ] || Graduate || Python || 2009<br />
|-<br />
|USA ||University of Colorado, Boulder || Natural Language Processing ||Undergraduate ||||2000<br />
|-<br />
|USA ||University of Colorado, Boulder ||[http://www.cs.colorado.edu/courses/csci6302.html Speech Recognition and Synthesis ]||Graduate ||||2002<br />
|-<br />
|USA ||University of Central Florida ||Advanced Artificial Intelligence ||Graduate ||Lisp ||2003<br />
|-<br />
|USA ||University of Central Florida ||Natural Language Understanding || ||Lisp Perl ||2003<br />
|-<br />
|USA ||University of Chicago ||[http://humanities.uchicago.edu/faculty/goldsmith/Industrial/syllabus.htm An Overview of Industrial Linguistics ] ||Graduate ||Perl ||2003<br />
|-<br />
|USA ||University of Georgia ||[http://www.ai.uga.edu/~mc/nlpfaq.html Applied Natural Language Processing ] ||Graduate ||Python ||2003<br />
|-<br />
|USA ||University of Georgia ||[http://www.ai.uga.edu/~mc/nlpfaq.html Natural Language Processing Techniques ] ||Graduate ||Prolog ||2003<br />
|-<br />
|USA ||University of Illinois - Chicago ||[http://www.cs.uic.edu/~bdieugen/teaching.html Natural Language Processing ] ||Both ||C Java Lisp Perl ||2003<br />
|-<br />
|USA ||University of Illinois - Urbana Champaign ||[http://catarina.ai.uiuc.edu/L406_06/ Introduction to Computational Linguisticss ] ||Both ||||2006<br />
|-<br />
|USA ||University of Illinois - Urbana Champaign ||[http://l2r.cs.uiuc.edu/#teaching Machine Learning and Natural Language ] ||Graduate ||||2005<br />
|-<br />
|USA ||University of Illinois - Urbana Champaign ||[http://l2r.cs.uiuc.edu/#teaching Machine Learning] ||Both ||||2005<br />
|-<br />
|USA ||University of Maryland, College Park ||[http://www.clis2.umd.edu/courses/796 (BROKEN LINK) Information Retrieval Systems ] ||Graduate ||C C++ Java ||2003<br />
|-<br />
|USA ||University of Maryland, College Park ||[http://www.umiacs.umd.edu/~resnik/ling723/ Computational Linguistics I ] ||Graduate || Perl ||2006<br />
|-<br />
|USA ||University of Maryland, College Park ||[http://www.umiacs.umd.edu/~resnik/ling647/ Computational Linguistics II ] ||Graduate || Perl ||2006<br />
|-<br />
|USA ||University of Maryland, College Park ||[http://www.umiacs.umd.edu/~resnik/ling848_fa2004/ Seminar in Computational Linguistics ] ||Graduate || ||2004<br />
|-<br />
|USA ||University of Michigan ||[http://www.eecs.umich.edu/~radev/LNI-winter2004 Language and Information ] ||Both || ||2004<br />
|-<br />
|USA ||University of Michigan ||[http://www.eecs.umich.edu/~radev/650w10 Information Retrieval ] ||Both || ||2005<br />
|-<br />
|USA ||University of Michigan ||[http://www.eecs.umich.edu/~radev/NLP-winter2013 Natural Language Processing ] ||Both || ||2005<br />
|-<br />
|USA ||University of Michigan ||[http://www.eecs.umich.edu/~radev/767w10 Advanced NLP/IR ] ||Graduate || ||2006<br />
|-<br />
|USA ||University of Minnesota, Duluth ||[http://www.d.umn.edu/~tpederse/teaching.html Introduction to Natural Language Processing ] ||Undergraduate ||Perl ||2003<br />
|-<br />
|USA ||University of Minnesota, Duluth ||[http://www.d.umn.edu/~tpederse/teaching.html Natural Language Processing ] ||Graduate ||Perl ||2003<br />
|-<br />
|USA ||University of North Texas ||[http://www.cs.unt.edu/~rada/CSCE5290 Natural Language Processing ] ||Graduate ||Perl ||2006<br />
|-<br />
|USA ||University of Pennsylvania ||[http://www.cis.upenn.edu/~cis520 Introduction to Artificial Intelligence ] ||Graduate || ||2003<br />
|-<br />
|USA ||University of Pennsylvania ||[http://www.cis.upenn.edu/~cis630 Advanced Topics in Natural Language Processing ] ||Graduate ||C++ Java Perl Python ||2003<br />
|-<br />
|USA ||University of Pennsylvania ||[http://www.cis.upenn.edu/~cse391 Introduction to Artificial Intelligence ] ||Undergraduate ||Prolog ||2003<br />
|-<br />
|USA ||University of Pittsburgh ||[http://www.cs.pitt.edu/~litman/courses/CS3730/cs3730.html Natural Language Processing ] ||Graduate || ||2003<br />
|-<br />
|USA ||University of Rochester ||[http://www.cs.rochester.edu/~schubert/247-447/ Natural Language Processing ] ||Both ||Lisp ||2006<br />
|-<br />
|USA ||University of Rochester ||[http://www.cs.rochester.edu/~gildea/2006_Fall/ Language, Parsing, and Complexity ] ||Both || ||2006<br />
|-<br />
|USA ||University of Rochester ||[http://www.cs.rochester.edu/~gildea/2005_Fall/ Speech Recognition and Statistical Natural Language Processing ] ||Both || ||2005<br />
|-<br />
|USA ||University of Rochester ||[http://www.cs.rochester.edu/~gildea/2004_Spring/ Seminar in AI: Statistical Machine Translation ] ||Graduate || ||2004<br />
|-<br />
|USA ||University of Southern California ||[http://www.isi.edu/~marcu/544/ Introduction to Natural Language Processing ] ||Graduate || ||2003<br />
|-<br />
|USA ||University of Southern California ||[http://www.isi.edu/~marcu/544/ Natural Language Processing ] ||Graduate ||C++ Java Lisp Perl ||2003<br />
|-<br />
|USA ||University of Southern California ||[http://www.isi.edu/natural-language/people/cs562-f2006-syll.htm Empirical Methods in Natural Language Processing ] ||Graduate || ||2006<br />
|-<br />
|USA ||University of St. Thomas, Saint Paul MN ||Information Retrieval ||Graduate ||C Java Perl Python ||2003<br />
|-<br />
|USA ||University of Texas at Austin ||[http://comp.ling.utexas.edu/jbaldrid/icl Introduction to Computational Linguistics ] ||Undergraduate||Python||2006<br />
|-<br />
|USA ||University of Texas at Austin ||Natural Language Processing||Undergraduate||Python, Java||[http://comp.ling.utexas.edu/courses/2008/fall/natural_language_processing 2008]<br />
|-<br />
|USA ||University of Texas at Austin ||Natural Language Processing||Graduate||Java||[http://www.cs.utexas.edu/~mooney/cs388/ 2008]<br />
|-<br />
|USA ||University of Texas at Austin ||Computational Linguistics I ||Graduate||Python||[http://www.utexas.edu/courses/jbaldrid/2006/compling1 2006], [http://comp.ling.utexas.edu/courses/2007/cl1/ 2007], [http://comp.ling.utexas.edu/courses/2008/cl1_08/ 2008]<br />
|-<br />
|USA ||University of Texas at Austin ||Computational Linguistics II ||Graduate||Python Java||[http://comp.ling.utexas.edu/jbaldrid/cl2 2006], [http://comp.ling.utexas.edu/courses/2007/cl2_07/ 2007]<br />
|-<br />
|USA ||University of Texas at Austin<br />
||Intro to working with corpora and programming || Both||Python||[http://comp.ling.utexas.edu/erk/corpora06.html 2006] [http://comp.ling.utexas.edu/courses/2007/corpora07/ 2007]<br />
|-<br />
|USA ||University of Texas at El Paso ||[http://www.cs.utep.edu/nigel/nlp/ Statistical Approaches to Natural Language Processing ] ||Both ||Perl ||2006<br />
|-<br />
|USA ||University of Utah ||[http://www.cs.utah.edu/classes/cs5340 Natural Language Processing ] ||Both ||C C++ Java Lisp Perl ||2003<br />
|-<br />
|USA ||University of Washington||[http://courses.washington.edu/ling472 Introduction to Computational Linguistics] ||Undergraduate ||Perl ||2006<br />
|-<br />
|USA ||University of Washington||[http://courses.washington.edu/ling570/ Shallow Methods in Natural Language Processing]||Graduate ||Python Java C++ Perl||2007<br />
|-<br />
|USA ||University of Washington||[http://courses.washington.edu/ling571/ Deep Processing Techniques for Natural Language Processing] ||Graduate ||Python Java C++ Perl||2007<br />
|-<br />
|USA ||University of Washington||[http://courses.washington.edu/ling572/ Advanced Statistical Methods for Natural Language Processing] ||Graduate ||Python Java C++ Perl||2008<br />
|-<br />
|USA ||University of Washington||[http://courses.washington.edu/ling573/ Systems/Applications] ||Graduate ||Python Java C++ Perl||2008<br />
|-<br />
|USA ||University of Washington||[http://courses.washington.edu/ling567 Knowledge Engineering for NLP] ||Graduate ||tdl ||2006<br />
|-<br />
|USA ||University of Wisconsin-Madison ||Intensive Computational Linguistics ||Both ||C++ Java ||2003<br />
|- <br />
|USA ||University of Wisconsin-Madison ||[http://www.cs.wisc.edu/~jerryzhu/cs769.html Advanced Natural Language Processing ] ||Graduate||student choice||2008<br />
|- |]<br />
<br />
<br />
<br />
[[Category:Education]]<br />
[[Category:Natural language processing]]</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=Masters_programs&diff=12040Masters programs2017-11-05T18:14:11Z<p>Pdturney: </p>
<hr />
<div>* This is a list of degree programs at the masters level.<br />
* See also the [[List of NLP/CL courses]] around the world.<br />
* Note that a degree program may contain several courses and a course might not have an associated degree program.<br />
* See also [[Teaching]].<br />
<br />
<br />
= Masters programs in computational linguistics/natural language processing = <br />
<br />
== North America ==<br />
<br />
=== USA ===<br />
<br />
*Georgetown University [https://linguistics.georgetown.edu/graduate/master-degree-programs/master-of-sciences MS in Computational Linguistics]<br />
* Indiana University [http://cl.indiana.edu/ma.html MA in Computational Linguistics]<br />
* Indiana University [http://cl.indiana.edu/ms.html MS in Computational Linguistics]<br />
* University of Colorado [http://www.colorado.edu/linguistics/current-students/graduates/computational-linguistics-clasic-ms MS in Computational Linguistics, Analytics, Search and Informatics (CLASIC)]<br />
* University of Washington [http://www.compling.uw.edu Computational Linguistics Master of Science (CLMS)]</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=SIGGEN&diff=12039SIGGEN2017-11-05T18:06:50Z<p>Pdturney: </p>
<hr />
<div>__NOTOC__<br />
<br />
<h1>ACL Special Interest Group on Natural Language Generation </h1> <br />
<br />
{|<br />
|-<br />
|[[File:Siggen_logo_small.JPG|left]]||<h4 style="width:95%;margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:justify;color:#000;padding:0.2em 0.4em;">Welcome to the home page of the Association for Computational Linguistics Special Interest Group on Natural Language Generation. SIGGEN [ˈsɪɡ.ʤɛn] is a special interest group of the Association for Computational Linguistics (ACL). It provides a forum for the discussion, dissemination and archiving of research topics and results in the field of text generation. </h4><br />
<br />
|}<br />
<br />
Active topics of interest include:<br />
<br />
*Discourse models, content planning.<br />
*Syntactic realization: formalisms and models of grammars for sentence production.<br />
*Architecture of generators.<br />
*Lexical choice.<br />
*Psychological modelling of discourse production.<br />
*Pragmatic influences on lexical choice, syntax and content selection.<br />
*Multilingual or multi-modal generation.<br />
*Applications of generation technology (report generation, explanation for knowledge-based systems, automatic translation...).<br />
*Learning methods.<br />
*Evaluation of generation results.<br />
<br />
Relevant aspects of the following areas relate to problems of natural language generation:<br />
<br />
*Grammar theory<br />
*Statistical methods<br />
*Speech synthesis<br />
*Psycholinguistics<br />
*Neuroscience<br />
*Philosophy<br />
<br />
== Upcoming Events ==<br />
<br />
[https://eventos.citius.usc.es/inlg2017/index INLG 2017]<br />
<br />
Santiago de Compostela, Spain, 4-7 September, 2017<br />
<br />
== Mailing List ==<br />
=== Joining the mailing list: ===<br />
<br />
:The SIGGEN mailing list is currently going through a transition. <br />
:To sign up, view preferences, change preferences, or unsubscribe, go to: <br />
<br />
::'''[http://www.jiscmail.ac.uk/SIGGEN http://www.jiscmail.ac.uk/SIGGEN]'''<br />
<br />
:If there are any issues, e-mail: <u>'''siggen-webmaster (ta) aclweb (dot) org'''</u>.<br />
<br />
=== Posting messages to the mailing list ===<br />
<br />
:Please join the mailing list first (see above). Then you may use the email alias <u>'''siggen-list (ta) aclweb (dot) org'''</u> to post e-mails to the list.<br />
<br />
== Board ==<br />
The SIGGEN board is made up of the following people:<br />
<br />
*[http://www.loria.fr/~gardent/ Claire Gardent] ([mailto:Claire.Gardent@loria.fr mail]) CNRS Director of Research based in the LORIA Computer Science research unit of [http://en.nancy-tourisme.fr/ Nancy] France. [mailto:siggen-chair(ta)aclweb(dot)org chair])<br />
:elected in December 2014 for the period from 1st January 2015 to 31st December 2018<br />
*[http://staff.um.edu.mt/albert.gatt/ Albert Gatt] ([mailto:albert.gatt@um.edu.mt mail]) [http://www.um.edu.mt/linguistics/ Institute of Linguistics], [http://www.um.edu.mt/ University of Malta]. <br />
:elected in December 2014 for the period from 1st January 2015 to 31st December 2018<br />
*[http://amandastent.com// Amanda Stent] ([mailto:amanda.stent@gmail.com mail]), Bloomberg LP ([mailto:siggen-treasurer(ta)aclweb(dot)org treasurer])<br />
:elected in December 2016 for the period from 1st January 2017 to 31st December 2020<br />
*[https://dimitragkatzia.wordpress.com Dimitra Gkatzia] ([mailto:d.gkatzia@napier.ac.uk mail]) [http://www.napier.ac.uk/about-us/our-schools/school-of-computing/staff School of Computing, Edinburgh Napier University], Edinburgh (secretary)<br />
:elected in December 2016 for the period from 1st January 2017 to 31st December 2020<br />
*[http://homepages.inf.ed.ac.uk/amyi Amy Isard] ([mailto:amy.isard@ed.ac.uk mail]) [http://www.inf.ed.ac.uk School of Informatics, University of Edinburgh] (student member)<br />
:elected in December 2016 for the period from 1st January 2017 to 31st December 2018<br />
<br />
<br />
To contact the entire board, please use the email alias: <u>'''siggen-board (ta) aclweb (dot) org'''</u>.<br />
<br />
For questions regarding this website, please email: <u>'''siggen-webmaster (ta) aclweb (dot) org'''</u>.<br />
<br />
== [http://www.aclweb.org/anthology/siggen.html Workshop Proceedings ] ==<br />
<br />
<br />
== [[SIGGEN: Archive|Archive]] ==<br />
== [[SIGGEN: Newsletter Archive|Newsletter Archive]] ==<br />
== [[SIGGEN: Constitution|Constitution]] ==<br />
== [[SIGGEN: Who's Who in NLG|Who's Who in NLG]] ==<br />
== [[SIGGEN: What's Where in NLG|What's Where in NLG]] ==<br />
<br />
== Resources ==<br />
[[Natural_Language_Generation_Portal|Natural Language Generation Portal]]</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=SIGGEN&diff=12038SIGGEN2017-11-05T18:04:42Z<p>Pdturney: </p>
<hr />
<div>__NOTOC__<br />
<br />
<h1>ACL Special Interest Group on Natural Language Generation </h1> <br />
<br />
{|<br />
|-<br />
|[[File:Siggen_logo_small.JPG|left]]||<h4 style="width:95%;margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:justify;color:#000;padding:0.2em 0.4em;">Welcome to the home page of the Association for Computational Linguistics Special Interest Group on Natural Language Generation. SIGGEN [ˈsɪɡ.ʤɛn] is a special interest group of the Association for Computational Linguistics (ACL). It provides a forum for the discussion, dissemination and archiving of research topics and results in the field of text generation. </h4><br />
<br />
|}<br />
<br />
Active topics of interest include:<br />
<br />
*Discourse models, content planning.<br />
*Syntactic realization: formalisms and models of grammars for sentence production.<br />
*Architecture of generators.<br />
*Lexical choice.<br />
*Psychological modelling of discourse production.<br />
*Pragmatic influences on lexical choice, syntax and content selection.<br />
*Multilingual or multi-modal generation.<br />
*Applications of generation technology (report generation, explanation for knowledge-based systems, automatic translation...).<br />
*Learning methods.<br />
*Evaluation of generation results.<br />
<br />
Relevant aspects of the following areas relate to problems of natural language generation:<br />
<br />
*Grammar theory<br />
*Statistical methods<br />
*Speech synthesis<br />
*Psycholinguistics<br />
*Neuroscience<br />
*Philosophy<br />
<br />
== Upcoming Events ==<br />
<br />
[https://eventos.citius.usc.es/inlg2017/index INLG 2017]<br />
<br />
Santiago de Compostela, Spain, 4-7 September, 2017<br />
<br />
== Mailing List ==<br />
=== Joining the mailing list: ===<br />
<br />
:The SIGGEN mailing list is currently going through a transition. <br />
:To sign up, view preferences, change preferences, or unsubscribe, go to: <br />
<br />
::'''[http://www.jiscmail.ac.uk/SIGGEN http://www.jiscmail.ac.uk/SIGGEN]'''<br />
<br />
:If there are any issues, e-mail: <u>'''siggen-webmaster (ta) aclweb (dot) org'''</u>.<br />
<br />
=== Posting messages to the mailing list ===<br />
<br />
:Please join the mailing list first (see above). Then you may use the email alias <u>'''siggen-list (ta) aclweb (dot) org'''</u> to post e-mails to the list.<br />
<br />
== Board ==<br />
The SIGGEN board is made up of the following people:<br />
<br />
*[http://www.loria.fr/~gardent/ Claire Gardent] ([mailto:Claire.Gardent@loria.fr mail]) CNRS Director of Research based in the LORIA Computer Science research unit of [http://en.nancy-tourisme.fr/ Nancy] France. [mailto:siggen-chair(ta)aclweb(dot)org chair])<br />
:elected in December 2014 for the period from 1st January 2015 to 31st December 2018<br />
*[http://staff.um.edu.mt/albert.gatt/ Albert Gatt] ([mailto:albert.gatt@um.edu.mt mail]) [http://www.um.edu.mt/linguistics/ Institute of Linguistics], [http://www.um.edu.mt/ University of Malta]. <br />
:elected in December 2014 for the period from 1st January 2015 to 31st December 2018<br />
*[http://amandastent.com// Amanda Stent] ([mailto:amanda.stent@gmail.com mail]), Bloomberg LP ([mailto:siggen-treasurer(ta)aclweb(dot)org treasurer])<br />
:elected in December 2016 for the period from 1st January 2017 to 31st December 2020<br />
*[https://dimitragkatzia.wordpress.com Dimitra Gkatzia] ([mailto:d.gkatzia@napier.ac.uk mail]) [http://www.napier.ac.uk/about-us/our-schools/school-of-computing/staff School of Computing, Edinburgh Napier University], Edinburgh (secretary)<br />
:elected in December 2016 for the period from 1st January 2017 to 31st December 2020<br />
*[http://homepages.inf.ed.ac.uk/amyi Amy Isard] ([mailto:amy.isard@ed.ac.uk mail]) [http://www.inf.ed.ac.uk School of Informatics, University of Edinburgh] (student member)<br />
:elected in December 2016 for the period from 1st January 2017 to 31st December 2018<br />
<br />
<br />
To contact the entire board, please use the email alias: <u>'''siggen-board (ta) aclweb (dot) org'''</u>.<br />
<br />
For questions regarding this website, please email: <u>'''siggen-webmaster (ta) aclweb (dot) org'''</u>.<br />
<br />
== [http://www.aclweb.org/anthology/siggen.html Workshop Proceedings ] ==<br />
<br />
<br />
== [[SIGGEN: Archive|Archive]] ==<br />
== [[SIGGEN: Archive|Newsletter Archive]] ==<br />
== [[SIGGEN:_Constitution|Constitution]] ==<br />
== [[SIGGEN:_Who%27s_Who_in_NLG|Who's Who in NLG]] ==<br />
== [[SIGGEN:_What%27s_Where_in_NLG|What's Where in NLG]] ==<br />
<br />
== Resources ==<br />
[[Natural_Language_Generation_Portal|Natural Language Generation Portal]]</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=SIGGEN&diff=12037SIGGEN2017-11-05T17:58:14Z<p>Pdturney: /* Archive */</p>
<hr />
<div>__NOTOC__<br />
<br />
<h1>ACL Special Interest Group on Natural Language Generation </h1> <br />
<br />
{|<br />
|-<br />
|[[File:Siggen_logo_small.JPG|left]]||<h4 style="width:95%;margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:justify;color:#000;padding:0.2em 0.4em;">Welcome to the home page of the Association for Computational Linguistics Special Interest Group on Natural Language Generation. SIGGEN [ˈsɪɡ.ʤɛn] is a special interest group of the Association for Computational Linguistics (ACL). It provides a forum for the discussion, dissemination and archiving of research topics and results in the field of text generation. </h4><br />
<br />
|}<br />
<br />
Active topics of interest include:<br />
<br />
*Discourse models, content planning.<br />
*Syntactic realization: formalisms and models of grammars for sentence production.<br />
*Architecture of generators.<br />
*Lexical choice.<br />
*Psychological modelling of discourse production.<br />
*Pragmatic influences on lexical choice, syntax and content selection.<br />
*Multilingual or multi-modal generation.<br />
*Applications of generation technology (report generation, explanation for knowledge-based systems, automatic translation...).<br />
*Learning methods.<br />
*Evaluation of generation results.<br />
<br />
Relevant aspects of the following areas relate to problems of natural language generation:<br />
<br />
*Grammar theory<br />
*Statistical methods<br />
*Speech synthesis<br />
*Psycholinguistics<br />
*Neuroscience<br />
*Philosophy<br />
<br />
== Upcoming Events ==<br />
<br />
[https://eventos.citius.usc.es/inlg2017/index INLG 2017]<br />
<br />
Santiago de Compostela, Spain, 4-7 September, 2017<br />
<br />
== Mailing List ==<br />
===Joining the mailing list:===<br />
<br />
:The SIGGEN mailing list is currently going through a transition. <br />
:To sign up, view preferences, change preferences, or unsubscribe, go to: <br />
<br />
::'''[http://www.jiscmail.ac.uk/SIGGEN http://www.jiscmail.ac.uk/SIGGEN]'''<br />
<br />
:If there are any issues, e-mail: <u>'''siggen-webmaster (ta) aclweb (dot) org'''</u>.<br />
<br />
===Posting messages to the mailing list===<br />
<br />
:Please join the mailing list first (see above). Then you may use the email alias <u>'''siggen-list (ta) aclweb (dot) org'''</u> to post e-mails to the list.<br />
<br />
== Board ==<br />
The SIGGEN board is made up of the following people:<br />
<br />
*[http://www.loria.fr/~gardent/ Claire Gardent] ([mailto:Claire.Gardent@loria.fr mail]) CNRS Director of Research based in the LORIA Computer Science research unit of [http://en.nancy-tourisme.fr/ Nancy] France. [mailto:siggen-chair(ta)aclweb(dot)org chair])<br />
:elected in December 2014 for the period from 1st January 2015 to 31st December 2018<br />
*[http://staff.um.edu.mt/albert.gatt/ Albert Gatt] ([mailto:albert.gatt@um.edu.mt mail]) [http://www.um.edu.mt/linguistics/ Institute of Linguistics], [http://www.um.edu.mt/ University of Malta]. <br />
:elected in December 2014 for the period from 1st January 2015 to 31st December 2018<br />
*[http://amandastent.com// Amanda Stent] ([mailto:amanda.stent@gmail.com mail]), Bloomberg LP ([mailto:siggen-treasurer(ta)aclweb(dot)org treasurer])<br />
:elected in December 2016 for the period from 1st January 2017 to 31st December 2020<br />
*[https://dimitragkatzia.wordpress.com Dimitra Gkatzia] ([mailto:d.gkatzia@napier.ac.uk mail]) [http://www.napier.ac.uk/about-us/our-schools/school-of-computing/staff School of Computing, Edinburgh Napier University], Edinburgh (secretary)<br />
:elected in December 2016 for the period from 1st January 2017 to 31st December 2020<br />
*[http://homepages.inf.ed.ac.uk/amyi Amy Isard] ([mailto:amy.isard@ed.ac.uk mail]) [http://www.inf.ed.ac.uk School of Informatics, University of Edinburgh] (student member)<br />
:elected in December 2016 for the period from 1st January 2017 to 31st December 2018<br />
<br />
<br />
To contact the entire board, please use the email alias: <u>'''siggen-board (ta) aclweb (dot) org'''</u>.<br />
<br />
For questions regarding this website, please email: <u>'''siggen-webmaster (ta) aclweb (dot) org'''</u>.<br />
<br />
==[http://www.aclweb.org/anthology/siggen.html Workshop Proceedings ] ==<br />
<br />
<br />
==[[SIGGEN: Archive|Archive]]==<br />
<br />
==[[SIGGEN:_Constitution|Constitution]]==<br />
== [[SIGGEN:_Who%27s_Who_in_NLG|Who's Who in NLG]]==<br />
== [[SIGGEN:_What%27s_Where_in_NLG|What's Where in NLG]]==<br />
<br />
== Resources ==<br />
[[Natural_Language_Generation_Portal|Natural Language Generation Portal]]</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=SIGGEN:Archive&diff=12036SIGGEN:Archive2017-11-05T17:56:48Z<p>Pdturney: Pdturney moved page SIGGEN:Archive to SIGGEN: Archive</p>
<hr />
<div>#REDIRECT [[SIGGEN: Archive]]</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=SIGGEN:_Archive&diff=12035SIGGEN: Archive2017-11-05T17:56:48Z<p>Pdturney: Pdturney moved page SIGGEN:Archive to SIGGEN: Archive</p>
<hr />
<div>{|<br />
|-<br />
|[[File:Siggen_logo_small.JPG|left]]||<h4 style="margin:0;font-size:125%;padding:0.2em 0.4em;">This archive collects material on the history of ACL SIGGEN.</h4><br />
|}<br />
__TOC__<br />
==[[SIGGEN:_ACL_Reports|annual reports to the ACL]]==<br />
==SIGGEN newsletters (1993–2005)==<br />
==[[SIGGEN: Constitution| SIGGEN constitution]] (including older versions)==<br />
==[http://www.ics.mq.edu.au/mailman/private/siggen/ mailing list archive](list members only)==</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=Special_interest_groups&diff=12034Special interest groups2017-11-05T17:54:12Z<p>Pdturney: /* ACL Special Interest groups */</p>
<hr />
<div>* ''You are welcome to use the ACL Wiki for your CL/NLP SIG.'' <br />
* For example, see [[SIGFSM]] and [[SIGBIOMED]].<br />
<br />
<br />
== [[ACL]] Special Interest groups ==<br />
* ACL [http://www.cs.vassar.edu/sigann/ SIGANN] - Linguistic Annotation of Natural Language Corpora for NLP<br />
* ACL [[SIGBIOMED]] - Biomedical Natural Language Processing<br />
* ACL [http://www.aclweb.org/sigdat SIGDAT] - Linguistic data and corpus-based approaches to NLP<br />
* ACL & ISCA [http://www.sigdial.org/ SIGDIAL] - Discourse and Dialogue Processing<br />
* ACL [[SIGFSM]] - Finite-State Methods<br />
* ACL [[SIGGEN]] - Natural Language Generation<br />
* ACL [http://sighan.cs.uchicago.edu SIGHAN] - Chinese Language Processing<br />
* ACL [http://sighum.science.ru.nl/ SIGHUM] - Language Technologies for the Socio-Economic Sciences and the Humanities<br />
* ACL [http://www.siglex.org/ SIGLEX] - Lexicon<br />
* ACL [http://molweb.org/ SIGMOL] - Mathematics of Language<br />
* ACL [http://www.sigmorphon.org/ SIGMORPHON] - Computational Morphology and Phonology<br />
* ACL [http://www.sigmt.org/ SIGMT] - Machine Translation<br />
* ACL [http://www.aclweb.org/signll SIGNLL] - Natural Language Learning<br />
* ACL [http://www.aclweb.org/sigparse SIGPARSE] - Natural Language Parsing<br />
* ACL [http://www.sigsem.org SIGSEM] - Computational Semantics<br />
* ACL [http://www.sigwac.org.uk/ SIGWAC] - Web as Corpus<br />
* ACL [http://www.slpat.org/ SIGSLPAT] - Speech & Language Processing for Assistive Technologies<br />
* ACL [http://cl.haifa.ac.il/semitic/ SEMITIC] - Computational Approaches to Semitic Languages<br />
<br />
== Relevant [[ACM]] Special Interest Groups ==<br />
* ACM [http://sigart.acm.org/ SIGART] - Artificial Intelligence<br />
* ACM [http://www.sigchi.org/ SIGCHI] - Computer-Human Interaction<br />
* ACM [http://www.sigdoc.org/ SIGDOC] - Design of Communication<br />
* ACM [http://www.sigir.org/ SIGIR] - Information Retrieval<br />
* ACM [http://www.sigmm.org/ SIGMM] - Multimedia<br />
* ACM [http://www.sigweb.org/ SIGWEB] - Hypertext, Hypermedia and the Web<br />
<br />
== Relevant [[ISCA]] Special Interest Groups ==<br />
* ISCA [http://ixa2.si.ehu.es/saltmil/ SALTMIL] - Speech and Language Technology for Minority Languages<br />
* ISCA [http://www.cs.cmu.edu/%7Emax/mainpage_files/SLATE.htm SLATE] - Speech and Language Technology in Education<br />
<br />
==See also==<br />
* [[Newsgroups, mailing lists]]<br />
<br />
==External links==<br />
* [http://www.aclweb.org/index.php?option=com_content&task=view&id=17&Itemid=28 ACL SIGs]<br />
* [http://www.acm.org/sigs/ ACM SIGs]<br />
* [http://www.isca-speech.org/sig.html ISCA SIGs]<br />
<br />
[[Category:Special Interest groups]]</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=Teaching&diff=11957Teaching2017-08-12T16:00:55Z<p>Pdturney: </p>
<hr />
<div><!-- Please keep this list in alphabetical order --><br />
* '''Main resource:''' <br />
** [[List of NLP/CL courses]] around the world<br />
<br />
* '''Secondary resources:'''<br />
<!-- Please keep this list in alphabetical order --><br />
** [[Core body of knowledge]]<br />
** [[Courses]] -- needs to be folded into [[List of NLP/CL courses]]<br />
** [http://linguistlist.org/teach LINGUIST List Teaching & Learning Area]<br />
** [[Masters programs]] -- needs to be folded into [[List of NLP/CL courses]]<br />
** [[Recommended textbooks]]<br />
** [[Suggested student projects]]<br />
<!-- Please keep this list in alphabetical order --><br />
<br />
[[Category:Education]]</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=Teaching&diff=11956Teaching2017-08-12T16:00:11Z<p>Pdturney: removing dead link</p>
<hr />
<div><!-- Please keep this list in alphabetical order --><br />
* '''Main resource:''' <br />
** [[List of NLP/CL courses]] around the world<br />
<br />
* '''Secondary resources:'''<br />
<!-- Please keep this list in alphabetical order --><br />
** [[Core body of knowledge]]<br />
** [[Courses]] -- needs to be folded into [[List of NLP/CL courses]]<br />
** [http://linguistlist.org/teach/index.html LINGUIST List Teaching & Learning Area]<br />
** [[Masters programs]] -- needs to be folded into [[List of NLP/CL courses]]<br />
** [[Recommended textbooks]]<br />
** [[Suggested student projects]]<br />
<!-- Please keep this list in alphabetical order --><br />
<br />
[[Category:Education]]</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=List_of_NLP/CL_courses&diff=11955List of NLP/CL courses2017-08-12T15:56:30Z<p>Pdturney: </p>
<hr />
<div>This page lists university courses that contain substantial content in [[Natural Language Processing]] and [[Computational Linguistics]], and is derived from a [http://www.clt.mq.edu.au/survey/ survey]<br />
sponsored by the [[Association for Computational Linguistics]].<br />
Courses are categorized by level (undergraduate, graduate, or both)<br />
and programming language. The final column gives the year when the<br />
information was confirmed to be accurate. (Entries more than five years<br />
old, and entries with broken hyperlinks, may be culled.)<br />
<br />
<br />
{| border=1 cellspacing=0 cellpadding=3 style="border-collapse: collapse;"<br />
! Country !! Institution !! Course Name !! Level !! Languages !! Row Updated<br />
|-<br />
|Australia ||Macquarie University ||[http://www.comp.mq.edu.au/units/comp248/ Introduction to Natural Language Processing ] ||Both ||Prolog ||2006<br />
|-<br />
|Australia ||Macquarie University ||[http://www.comp.mq.edu.au/units/comp348/ Document Processing and the Semantic Web ] ||Undergraduate ||Python ||2006<br />
|-<br />
|Australia ||Macquarie University ||[http://www.comp.mq.edu.au/units/comp349/ Spoken Language Dialogue Systems] ||Undergraduate ||Prolog ||2006<br />
|-<br />
|Australia ||University of Melbourne ||[http://www.cs.mu.oz.au/460/ Human Language Technology ] ||Undergraduate ||Python ||2006<br />
|-<br />
|Australia ||University of Melbourne ||[http://webraft.its.unimelb.edu.au/175410/pub/ Computational Linguistics ] ||Undergraduate ||Python ||2006<br />
|-<br />
|Australia ||University of Sydney ||Statistical Natural Language Processing ||Graduate ||Python ||2003<br />
|-<br />
|Austria ||University of Vienna ||Wissensbasierte Sprachverarbeitung ||Graduate ||Prolog ||2003<br />
|-<br />
|Belarus ||Grodno State University ||Introduction to Computational Linguistics ||Undergraduate || ||2003<br />
|-<br />
|Belgium ||Katholieke Universiteit Leuven (K.U.Leuven) ||[http://www.kuleuven.be/onderwijs/aanbod2006/syllabi/H02C8AE.htm Text Based Information Retrieval] ||Both || Java, C, MATLAB ||2006<br />
|-<br />
|Belgium ||Katholieke Universiteit Leuven (K.U.Leuven) ||[http://www.kuleuven.be/onderwijs/aanbod/syllabi/H02B1AE.htm Natural Language Processing] ||Master ||Perl ||2010<br />
|-<br />
|Belgium ||Katholieke Universiteit Leuven (K.U.Leuven) ||[http://www.ccl.kuleuven.be/Courses/LTAI/index.html Linguistic Theories and Artificial Intelligence] ||Master || ||2010<br />
|-<br />
|Belgium ||Katholieke Universiteit Leuven (K.U.Leuven) ||[http://www.kuleuven.ac.be/onderwijs/aanbod/syllabi/F0AR3AN.htm Computerlinguïstiek]||Undergraduate||Perl ||2010<br />
|-<br />
|Belgium ||University of Antwerp ||[https://www.uantwerpen.be/popup/opleidingsonderdeel.aspx?catalognr=2010FLWTAA&taal=en&aj=2015 Computational Linguistics] ||Master || Python ||2016<br />
|-<br />
|Belgium ||University of Antwerp ||[https://www.uantwerpen.be/popup/opleidingsonderdeel.aspx?catalognr=2011FLWTAA&taal=en&aj=2015 Computational Models of Language Understanding ] ||Master ||Python ||2016<br />
|-<br />
|Belgium ||University of Antwerp ||[https://www.uantwerpen.be/popup/opleidingsonderdeel.aspx?catalognr=2012FLWTAA&taal=en&aj=2015 Commputational Psycholinguistics ] ||Master || ||2016<br />
|-<br />
|Brazil ||Universidade Federal de Santa Catarina || Lingüística Computacional ||Graduate ||Perl Prolog ||2003<br />
|-<br />
|Brazil ||Universidade Federal de Santa Catarina || Lingüística Computacional I/II ||Undergraduate ||Perl Prolog ||2003<br />
|-<br />
|Brazil ||Universidade Federal de São Carlos ||Topics on Informatics (Introduction on NLP) ||Graduate ||C C++ Prolog ||2003<br />
|-<br />
|Brazil ||Universidade de São Paulo (ICMC-São Carlos) ||[http://uspdigital.usp.br/janus/componente/disciplinasOferecidasInicial.jsf?action=3&sgldis=SCC5869 Topics on NLP I ] ||Graduate || ||2012<br />
|-<br />
|Brazil ||Universidade de São Paulo (ICMC-São Carlos) ||[http://uspdigital.usp.br/janus/componente/disciplinasOferecidasInicial.jsf?action=3&sgldis=SCC5928 Topics on NLP II ] ||Graduate || ||2012<br />
|-<br />
|Brazil ||Universidade de São Paulo (ICMC-São Carlos) ||[http://uspdigital.usp.br/janus/componente/disciplinasOferecidasInicial.jsf?action=3&sgldis=SCC5908 Introduction to NLP ] ||Graduate || ||2012<br />
|-<br />
|Brazil ||Universidade Estadual Paulista (UNESP) || Tecnologias da Linguagem Humana|| Undergraduate ||Prolog||2005<br />
|-<br />
|Brazil ||Universidade Estadual Paulista (UNESP) || Processamento Automático de Línguas Naturais ||Graduate ||Prolog ||2005<br />
|-<br />
|Canada ||Concordia University ||Statistical Language Processing ||Graduate || Java C++ Perl ||2006<br />
|-<br />
|Canada ||Simon Fraser University ||[http://www.cs.sfu.ca/~anoop/courses/CMPT-413-Spring-2005/index.html Computational Linguistics ] || Undergraduate ||Perl ||2005<br />
|-<br />
|Canada ||Simon Fraser University ||[http://www.cs.sfu.ca/~anoop/courses/CMPT-825-Spring-2006/index.html Natural Language Processing ] ||Graduate ||Perl ||2006<br />
|-<br />
|Canada ||Simon Fraser University ||[http://www.cs.sfu.ca/~anoop/courses/CMPT-882-Fall-2002/index.html Statistical Learning of Natural Language ] ||Graduate || ||2003<br />
|-<br />
|Canada ||Université de Montréal ||Grammaires formelles ||Undergraduate ||Prolog ||2003<br />
|-<br />
|Canada ||Université de Montréal ||Indexation et condensation automatiques ||Graduate || ||2003<br />
|-<br />
|Canada ||Université de Montréal ||Morphologie computationnelle ||Graduate ||Prolog ||2003<br />
|-<br />
|Canada ||Université. de Montréal ||Syntaxe computationnelle ||Graduate ||Prolog ||2003<br />
|-<br />
|Canada ||University of Alberta || [http://www.cs.ualberta.ca/~kondrak/cmput650 Natural Language Processing ]||Graduate ||Perl ||2006<br />
|-<br />
|Canada ||University of Montreal ||Computational Linguistics ||Graduate ||Prolog ||2003<br />
|-<br />
|Canada ||University of Ottawa ||[http://www.site.uottawa.ca/~diana/csi5180/ Statistical Techniques for Natural Language Processing ] ||Graduate || Perl Java||2004<br />
|-<br />
|Canada ||University of Ottawa ||[http://www.site.uottawa.ca/~szpak/teaching/5386/ Natural Language Processing ] ||Graduate || Prolog Perl||2006<br />
|-<br />
|Canada ||University of Toronto ||[http://www.cs.toronto.edu/~suzanne/2501/index.html Computational Linguistics] ||Both||C++ ||2006<br />
|-<br />
|Canada ||University of Toronto ||[http://www.cs.toronto.edu/~gpenn/csc401 Natural Language Computing ] ||Both ||Python ||2008<br />
|-<br />
|Canada ||University of Toronto ||[http://www.cs.utoronto.ca/~gh/Courses/2528/index.html Advanced computational linguistics ] ||Graduate || ||2006<br />
|-<br />
|CHINA ||Nanjing Normal University || Statistical Natural Language Processing ||Graduate || C++ ||2007<br />
|-<br />
|CHINA ||Nanjing University || Machine Translation ||Graduate || ||2006<br />
|-<br />
|Costa Rica ||Universidad de Costa Rica ||[http://espanol.groups.yahoo.com/group/fl-1036/ Tecnologías y producción textual I ] ||Undergraduate || ||2003<br />
|-<br />
|Costa Rica ||Universidad de Costa Rica ||Tecnologías y producción textual ||Graduate || ||2003<br />
|-<br />
|Czech Republic ||Charles University ||[http://ufal.mff.cuni.cz/~hajic/courses/pfl043/0203/syllabus.html Statistical methods in NLP ] ||Both ||Perl ||2003<br />
|-<br />
|Czech Republic ||Silesian University ||[http://ui.fpf.slu.cz/sylaby.html (BROKEN LINK) Natural Language Processing I/II ] ||Undergraduate || ||2003<br />
|-<br />
|Denmark ||Copenhagen University || [http://studies.ku.dk/masters/it-and-cognition/programme-structure/ Language Processing] || Graduate || Python || 2014<br />
|-<br />
|Denmark ||University of Southern Denmark, Odense ||[http://visl.hum.sdu.dk/members/sharder/undervisning/compling02/ Introduction to Computational Linguistics ] ||Both ||Prolog ||2003<br />
|-<br />
|Estonia ||University of Tartu ||[http://www.cs.ut.ee/~koit/ Computational Models in Language Understanding ] ||Both ||C++ ||2003<br />
|-<br />
|Estonia ||University of Tartu ||[http://www.cs.ut.ee/~koit/ Introduction to Computational Linguistics ] ||Both ||Prolog ||2003<br />
|-<br />
|Estonia ||University of Tartu ||[http://www.cs.ut.ee/~koit/ Mathematics for Computational Linguists II ] ||Undergraduate || ||2003<br />
|-<br />
|Finland ||Helsinki University of Technology ||[http://www.cis.hut.fi/Opinnot/T-61.6090/ Special Course in Language Technology ] || Graduate || || 2006<br />
|-<br />
|Finland ||Helsinki University of Technology ||[http://www.cis.hut.fi/Opinnot/T-61.5020/ Statistical and Adaptive Natural Language Processing ] || Both || || 2006<br />
|-<br />
|Germany ||Saarland University ||[http://www.coli.uni-sb.de/~hansu/gf02.html Grammar Formalisms ] ||Undergraduate || ||2003<br />
|-<br />
|Germany ||Saarland University ||[http://www.coli.uni-sb.de/~hansu/vlcl01.html Introduction to Computational Linguistics ] ||Undergraduate || ||2003<br />
|-<br />
|Germany ||Saarland University ||[http://www.ps.uni-sb.de/~niehren/Web/Vorlesungen/Oz-NL-SS01/BookHomePage.html Concurrent constraint programming for natural language processing ] ||Both || Mozart Oz ||2003<br />
|-<br />
|Germany ||Universität Tübingen ||Computational Linguistics 1: Parsing ||Undergraduate ||Java ||2003<br />
|-<br />
|Germany ||University of Bremen ||Introduction to Natural Language Generation ||Undergraduate ||Lisp ||2003<br />
|-<br />
|Germany ||University of Bremen ||[http://www.cl.uni-bremen.de/~stefan/Lehre/CL/ Einführung in die Computerlinguistik ]||Undergraduate || ||2006<br />
|-<br />
|Germany ||University of Bremen ||[http://www.cl.uni-bremen.de/~stefan/Lehre/GE-Trale/ Einführung in die Grammatikentwicklung ]||Both || ||2006<br />
|-<br />
|Germany ||University of Dusseldorf ||[http://web.phil-fak.uni-duesseldorf.de/~kilbury/courses.htm Introduction to Computational Linguistics ] ||Undergraduate || ||2003<br />
|-<br />
|Germany ||University of Heidelberg ||[http://kontext.fraunhofer.de/haenelt/kurs/Parsing Parsing ] ||Graduate ||C Java Perl ||2003<br />
|-<br />
|Greece||Athens University of Economics and Business ||[http://eclass.aueb.gr/courses/INF153/ Artificial Intelligence]||Undergraduate ||C++ Java Prolog ||2010<br />
|-<br />
|Greece||Athens University of Economics and Business ||[http://eclass.aueb.gr/courses/INF210/ Language Technology]||Graduate ||C++ Java Prolog ||2010<br />
|-<br />
|Greece||Athens University of Economics and Business ||[http://eclass.aueb.gr/courses/INF154/ Logic and Artificial Intelligence]||Graduate ||C++ Java Prolog ||2010<br />
|-<br />
|India ||Assam University ||Natural Language Processing ||Graduate ||C C++ ||2003<br />
|-<br />
|India ||Banasthali University ||Natural Language Processing ||Graduate ||Perl Java Prolog Python ||2009<br />
|-<br />
|India || Indian Institute of Information Technology Allahabad || Natural Language Processing || Undergraduate Graduate || Java LISP Prolog Perl || 2005<br />
|-<br />
|India || Indian Institute of Science Bangalore ||[https://sites.google.com/site/2015e1246/ Natural Language Understanding] || Both || || 2015<br />
|-<br />
|India || Indian Institute of Science Bangalore ||[https://sites.google.com/site/se3052014 Topics in Large-scale Knowledge Harvesting] || Graduate || || 2014<br />
|-<br />
|India || Indian Institute of Technology Bombay ||[http://www.cse.iitb.ac.in/~cs460 Natural Language Processing] || both || Java Perl Prolog || 2004<br />
|-<br />
|India || International Institute of Information Technology IIIT Hyderabad || Natural Language Processing || both || Perl Python Java || 2001<br />
|-<br />
|India || International Institute of Information Technology IIIT Hyderabad || Applications to Natural Language Processing || both || Perl Python Java || 2001<br />
|-<br />
|Iran || University of Tehran ||[http://ece.ut.ac.ir/Classpages/S87/ECE500/index.htm Intelligent Information Retrieval ] ||both || ||2008<br />
|-<br />
|Iran || University of Tehran ||[http://ece.ut.ac.ir/classpages/F85/NaturalLanguageProcessing/ Natural Language Processing ] ||both || ||2008<br />
|-<br />
|Ireland ||Dublin City University ||[http://www.compapp.dcu.ie/~john/ca261.html Computational Linguistics 2 ] ||Undergraduate ||Java Perl ||2003<br />
|-<br />
|Ireland ||Dublin City University ||[http://www.computing.dcu.ie/~away/CL2/cl.html Computational Linguistics I ] ||Undergraduate ||Prolog ||2003<br />
|-<br />
|Israel ||University of Haifa ||[http://cs.haifa.ac.il/~shuly/teaching/index.html Computational Linguistics ] ||Both || ||2006<br />
|-<br />
|Italy ||University of Bologna ||[http://www.cilta.unibo.it/LingComp/ Linguistica Computazionale ] ||Both || ||2003<br />
|-<br />
|Italy ||Universita' di Padova ||Natural Language Processing ||Graduate ||C++ Perl ||2003<br />
|-<br />
|Italy ||University of Siena||[http://www.ciscl.unisi.it/corsi.htm?id=29 Linguistica Computazionale ] ||Both || C Java PHP ||2006<br />
|-<br />
|Japan ||Japan Advanced Institute of Science and Technology ||[http://www.jaist.ac.jp/~gakusei/kyoumu/syllabi22/eng/2010_1I223.html Natural Language Processing I] ||Graduate ||C Perl ||1998<br />
|-<br />
|Japan ||Japan Advanced Institute of Science and Technology ||[http://www.jaist.ac.jp/~gakusei/kyoumu/syllabi22/eng/2010_1I414.html Natural Language Processing II] ||Graduate ||C Perl ||2001<br />
|-<br />
|Japan ||Japan Advanced Institute of Science and Technology ||[http://www.jaist.ac.jp/~gakusei/kyoumu/syll14/k417e.html Methodology for Knowledge Discovery ] ||Graduate ||C Perl ||2003<br />
|-<br />
|Japan ||Yamagata University ||[http://www.yz.yamagata-u.ac.jp Natural Language Processing ] ||Undergraduate || ||2003<br />
|-<br />
|Japan ||Yamaguchi University ||Introduction to Computational Linguistics ||Undergraduate || ||2003<br />
|-<br />
|Korea ||Postech ||[http://nlp.postech.ac.kr/Course/CS704/index.html Machine Learning for NLP ] ||Graduate ||C C++ ||2003<br />
|-<br />
|Korea ||Postech, Korea ||[http://nlp.postech.ac.kr/Course/CS730b/2001/index.html Statistical Natural Language Processing ] ||Graduate ||C C++ ||2003<br />
|-<br />
|Malta||University of Malta ||[http://www.um.edu.mt/linguistics/human_language_technology/hlt BSc in Human Language Technology ] ||undergraduate ||python ||2016<br />
|-<br />
|Malta||University of Malta ||[http://www.um.edu.mt/linguistics/human_language_technology/msc MSc in Language and Computation ] || MSc ||python ||2016<br />
|-<br />
|Mexico ||National Polytechnic Institute ||[http://www.gelbukh.com/clbook/ Computational linguistics] ||Both || Perl, C++ ||2010<br />
|-<br />
|Mexico ||National Polytechnic Institute ||[http://www.gelbukh.com/courses/ Information Retrieval] ||Both || Perl, C++ ||2010<br />
|-<br />
|New Zealand ||University of Otago ||Computational linguistics ||Graduate ||Prolog ||2003<br />
|-<br />
|Norway ||University of Trondheim ||[http://www.idi.ntnu.no/~natlang/ Natural Language Interfaces ] ||Undergraduate ||Prolog ||2003<br />
|-<br />
|Poland ||Warsaw University ||[https://usosweb.mimuw.edu.pl/kontroler.php?_action=actionx:katalog2/przedmioty/pokazPrzedmiot(prz_kod:3301-JF-21J-SO) Computational Syntax ] ||Undergraduate ||Prolog ||2007<br />
|-<br />
|Poland ||Warsaw University ||[https://usosweb.mimuw.edu.pl/kontroler.php?_action=actionx:katalog2/przedmioty/pokazPrzedmiot(prz_kod:1000-2M07LK) Linguistic Engineering - Constructions ] ||Both ||Perl, Python, etc. ||2007<br />
|-<br />
|Poland ||Warsaw University ||[https://usosweb.mimuw.edu.pl/kontroler.php?_action=actionx:katalog2/przedmioty/pokazPrzedmiot(prz_kod:1000-2M07LS) Linguistic Engineering - Words ] ||Both ||Perl, Python, etc. ||2007<br />
|-<br />
|Portugal ||University of Lisbon ||[http://www.di.fc.ul.pt/sobre/?lei-detalhesdisciplinas#PLN Natural Language Processing ] ||Both ||Prolog ||2003<br />
|-<br />
|Portugal ||University of Lisbon ||[http://www.di.fc.ul.pt/sobre/?lei-detalhesdisciplinas#ILN Interaction in Natural Language ] ||Both ||C Java Perl Prolog Python ||2003<br />
|-<br />
|Portugal ||University of Lisbon ||[http://www.di.fc.ul.pt/sobre/?lei-detalhesdisciplinas#MQL Quantitative Language Nodelling ] ||Both ||Java Perl Prolog Python ||2003<br />
|-<br />
|Romania ||University A.I. Cuza, Iasi ||[http://www.infoiasi.ro/fcs/en/plan/plan-1-ml.html Introduction to Computational Linguistics, Corpus Linguistics ] ||Graduate ||C C++ Java Lisp Perl ||2003<br />
|-<br />
|Slovenia ||University of Ljubljana ||[http://www.ff.uni-lj.si/hp/pj/seminar/bes_in_rac.html Besedilo in ra&#269;unalnik ] ||Undergraduate || ||2003<br />
|-<br />
|Singapore ||National University of Singapore ||[http://www.comp.nus.edu.sg/ Natural Language Processing ] ||Both || ||2012<br />
|-<br />
|Spain ||University of the Basque Country and Udako Euskal Unibertsitatea ||[http://ixa.si.ehu.eus/master Hizkuntzaren Azterketa eta Prozesamendua (Analysis and Processing of Language) ] ||Graduate || Perl ||2008<br />
|-<br />
|Spain ||University of the Basque Country ||[http://ixa.si.ehu.eus/master Lengoaia Naturalaren Prozesamendua (Natural Language Processing) ] ||Undergraduate ||Lisp Prolog Python||2008<br />
|-<br />
|Spain ||Universidad Complutense de Madrid || Lingüística Computacional ||Undergraduate ||Lisp Prolog ||2003<br />
|-<br />
|Spain ||Universitat Autònoma de Barcelona ||[http://liceu.uab.es/~joaquim/Tecnologies_Parla.html Tecnologies de la parla (Speech Technologies) ] ||Graduate || ||2006<br />
|-<br />
|Spain ||Universidad Autónoma de Madrid ||[http://www.eps.uam.es/~ealfon/nlp/ Procesamiento de Lenguaje Natural ] ||Graduate || ||2006<br />
|-<br />
|Spain ||Universidade da Coruña ||[http://www.grupolys.org/docencia/ln/ Lenguajes Naturales ] ||Undergraduate ||Java C Python ||2009<br />
|-<br />
|Sri Lanka ||University of Colombo School of Computing||Natural Language Processing ||Both ||Prolog, Python ||2009<br />
|-<br />
|Sweden ||[http://www.gu.se/ Göteborg University] ||[http://www.cling.gu.se/ Computational Linguistics ] ||Undergraduate ||Java Prolog Python Oz Perl||2006<br />
|-<br />
|Sweden ||Linköping University ||[http://www.ida.liu.se/~TDDB71/ Språkteknologi (Language technology) ] ||Undergraduate ||Java Lisp Perl ||2003<br />
|-<br />
|Sweden ||Linköping University ||[http://www.ida.liu.se/~TDDB73/ Språkteknologiska system (Language Engineering Systems) ] ||Undergraduate ||Java Lisp ||2003<br />
|-<br />
|Sweden ||Lunds tekniska högskola ||[http://www.cs.lth.se/Education/Courses/EDA171/ Language processing and computational linguistics ] ||Undergraduate ||Perl Prolog ||2006<br />
|-<br />
|Sweden ||[http://www.gslt.hum.gu.se/ Swedish National Graduate School of Language Technology] ||[http://www.gslt.hum.gu.se/courses/ Ph.D. Courses in Language Technology ] ||Graduate || ||2006<br />
|-<br />
|Sweden ||Uppsala University ||[http://stp.lingfil.uu.se/utbildning/ Language Technology ] ||Undergraduate ||Java Prolog Python||2006<br />
|-<br />
|Sweden ||Växjö University ||[http://w3.msi.vxu.se/~nivre/teaching/nlp/dac723.html Language Technology ] ||Undergraduate || ||2006<br />
|-<br />
|Switzerland ||Swiss Federal Institute of Technology ||[http://lithwww.epfl.ch/teaching/rdf/ Pattern Recognition ] ||Undergraduate ||C++ Perl ||2003<br />
|-<br />
|Switzerland ||University of Zurich ||[http://www.cl.unizh.ch/siclemat/lehre/ss02/pcl2/ Programming Techniques in Computational Linguistics II ] ||Undergraduate ||Prolog ||2003<br />
|-<br />
|Switzerland ||University of Zurich ||[http://www.cl.unizh.ch/siclemat/lehre/ws0102/pcl1/ Programming Techniques in Computational Linguistics I ] ||Undergraduate ||Prolog ||2003<br />
|-<br />
|Switzerland ||University of Zurich ||[http://www.ifi.unizh.ch/CL/hess/classes/dsa/ Discourse Analysis ] ||Graduate ||Prolog ||2003<br />
|-<br />
|Switzerland ||University of Zurich ||[http://www.ifi.unizh.ch/CL/hess/classes/ecl Introduction to Computational Linguisticss ] ||Undergraduate ||Prolog ||2003<br />
|-<br />
|Switzerland ||University of Zurich ||[http://www.ifi.unizh.ch/CL/hess/classes/mki/ AI Methods in Computational Linguistics ] ||Graduate ||Prolog ||2003<br />
|-<br />
|Switzerland ||University of Zurich ||[http://www.ifi.unizh.ch/CL/hess/classes/sma/ Methods of Semantic Analysis ] ||Undergraduate ||Prolog ||2003<br />
|-<br />
|Switzerland ||Zurich University ||[http://www.ifi.unizh.ch/cl/klenner/lehre/ws0203/fg.html/ Statistical Natural Language Processing ] ||Undergraduate || ||2003<br />
|-<br />
|Taiwan ||[http://www.nccu.edu.tw/english/main.php National Chengchi University] || [http://www.cs.nccu.edu.tw/~chaolin/courses/nlp06f.html Natural Language Processing] || Graduate || student choice || 2006<br />
|-<br />
|Taiwan ||National Taiwan University ||[http://nlg.csie.ntu.edu.tw/courses/IR/course_IR.html Information Retrieval and Extraction] ||Both ||Student Choice ||2006<br />
|-<br />
|Taiwan ||National Taiwan University ||[http://nlg.csie.ntu.edu.tw/courses/NLP/ Natural Language Processing] ||Both ||Student Choice||2006<br />
|-<br />
|Taiwan ||National Tsing Hua University ||Natural Language Processing ||Graduate ||Foxpro ||2006<br />
|-<br />
|Taiwan ||National Tsing Hua University ||Natural Language Processing Lab ||Graduate ||Foxpro ||2006<br />
|-<br />
|Taiwan ||The Institute of Linguistics, Academia Sinica ||[http://clclp.ling.sinica.edu.tw/ Computational Linguistics and Chinese Language Processing] ||Graduate || ||2005<br />
|-<br />
|Thailand ||Chulalongkorn University ||[http://pioneer.chula.ac.th/~awirote/ling/2209674.htm Computational Linguistics I ] ||Graduate ||Perl Prolog ||2003<br />
|-<br />
|Turkey ||Middle East Technical University ||[http://www.ceng.metu.edu.tr/~bozsahin/nli/ceng563/ computational linguistics I ] ||Graduate ||Prolog ||2003<br />
|-<br />
|Turkey ||Middle East Technical University ||[http://www.ceng.metu.edu.tr/~bozsahin/nli/ceng584/ cognitive aspects of NLP ] ||Graduate ||C Java Lisp Prolog ||2003<br />
|-<br />
|UK ||Imperial College ||[http://www.hu.ic.ac.uk/translation Introduction to Language Engineering ] ||Graduate || ||2003<br />
|-<br />
|UK ||Loughborough University ||[http://www.lboro.ac.uk/departments/co/teaching/mcomp.html (BROKEN LINK) Natural Language and Speech Systems ] ||Undergraduate || ||2003<br />
|-<br />
|UK ||University of Birmingham ||[http://www.cs.bham.ac.uk/internal/modules/current/02495.html Natural Language Processing 1 ] ||Undergraduate ||Prolog ||2006<br />
|-<br />
|UK ||University of Birmingham ||[http://www.cs.bham.ac.uk/internal/modules/current/11223.html Natural Language Processing and Applications ] ||Both || ||2006<br />
|-<br />
|UK ||University of Birmingham ||[http://www.cs.bham.ac.uk/internal/modules/current/02648.html Natural Language Processing 2 ] ||Both || ||2006<br />
|-<br />
|UK ||University of Brighton ||[http://www.itri.brighton.ac.uk/courses/MScLex (BROKEN LINK) MSc in Lexical Computing and Lexicography ] ||Graduate ||Awk Perl ||2003<br />
|-<br />
|UK ||University of Brighton ||[http://www.itri.brighton.ac.uk/ Lexical Computing and Lexicography ] ||Graduate ||Perl ||2003<br />
|-<br />
|UK ||University of Cambridge ||[http://www.cl.cam.ac.uk/Teaching/current/NLP/ Natural Language Processing ] ||Undergraduate || ||2010<br />
|-<br />
|UK ||University of Cambridge ||[http://www.cl.cam.ac.uk/admissions/acs/ MPhil in Advanced Computer Science] ||Graduate || || 2010<br />
|-<br />
|UK ||University of Edinburgh ||[http://www.ling.ed.ac.uk/teaching/postgrad/mscslp/ M.Sc. in Speech and Language Processing ] ||Graduate ||Java Perl Prolog Python ||2003<br />
|-<br />
|UK ||University of Essex ||[http://courses.essex.ac.uk/lg/LG511 Computatiuonal Linguistics 1 ] ||Graduate ||Prolog ||2003<br />
|-<br />
|UK ||University of Essex ||[http://courses.essex.ac.uk/lg/LG519 Prolog I ] ||Graduate ||Prolog ||2003<br />
|-<br />
|UK ||University of Essex ||[http://courses.essex.ac.uk/lg/LG611 Computational Linguistics II ] ||Graduate ||Prolog ||2003<br />
|-<br />
|UK ||University of Essex ||[http://courses.essex.ac.uk/lg/LG619 Prolog II ] ||Graduate ||Prolog ||2003<br />
|-<br />
|UK ||University of Essex ||[http://cswww.essex.ac.uk/staff/poesio/cc437 Advanced Natural Language Engineering ] ||Graduate ||Java Perl ||2003<br />
|-<br />
|UK ||University of Leeds ||[http://www.comp.leeds.ac.uk/eric/ar32/ Natural Language Processing ] ||Both ||C++ Java Perl Prolog ||2003<br />
|-<br />
|UK ||University of Leeds ||[http://www.leeds.ac.uk/cts Computers and the Translator ] ||Undergraduate || ||2003<br />
|-<br />
|UK ||University of Leeds ||[http://www.leeds.ac.uk/cts Principles and Applications of MT ] ||Graduate || ||2003<br />
|-<br />
|UK ||University of Sheffield ||[http://www.shef.ac.uk/dcs/postgrad/taught/hlt.html M.Sc. Human Language Technology ] ||Postgraduate || ||2006<br />
|-<br />
|UK ||University of Sheffield ||[http://www.dcs.shef.ac.uk/intranet/teaching/modules/art/2005-6/stevenson.htm Language Engineering: Information Extraction ] ||Both || ||2006<br />
|-<br />
|UK ||University of Sheffield ||[http://www.dcs.shef.ac.uk/intranet/teaching/modules/level3/com4250.html Natural Language Processing ] ||Both ||Python ||2014<br />
|-<br />
|UK ||University of Sheffield ||[http://www.dcs.shef.ac.uk/intranet/teaching/modules/level3/com3110.html Text Processing ] ||Both ||Python ||2014<br />
|-<br />
|UK ||University of Sussex ||[http://www.informatics.sussex.ac.uk/courses/nlp/ Natural Language Processing ] ||Both ||Prolog Java||2006<br />
|-<br />
|UK ||University of Ulster ||[http://www.infj.ulst.ac.uk/nlp/ Natural Language Processing ] ||Undergraduate || ||2003<br />
|-<br />
|USA ||Arizona State University ||[http://www.eas.asu.edu/~cse476 (BROKEN LINK) Introduction to Natural Language Processing ] ||Both ||Java Prolog ||2003<br />
|-<br />
|USA ||Brandeis University ||[http://www.brandeis.edu/gsas/programs/comp_ling.html MA and PhD programs in Computational Linguistics ] ||Both ||Python, Lisp, Java ||2010 <br />
|-<br />
|USA ||Brigham Young University ||[http://faculty.cs.byu.edu/~ringger/CS401R/ Statistical Natural Language Processing ] ||Both ||Java ||2005 <br />
|-<br />
|USA ||Brigham Young University ||[http://faculty.cs.byu.edu/~ringger/CS601R/ Text Mining ] ||Graduate ||Java ||2007<br />
|-<br />
|USA ||Brown University ||[http://cog.brown.edu/~mj/classes/cg136/ Introduction to Computational Linguistics ] ||Both ||Python ||2006<br />
|-<br />
|USA ||Brown University ||[http://www.cs.brown.edu/courses/cs241/ Statistical Natural-Language Processing ] ||Graduate || ||2003<br />
|-<br />
|USA || Carnegie Mellon University || [http://www.cs.cmu.edu/~nasmith/NLP Natural Language Processing] || Undergraduate || various || 2008<br />
|-<br />
|USA ||Carnegie Mellon University ||[http://www.cs.cmu.edu/afs/cs.cmu.edu/project/cmt-55/lti/Courses/711/www/ Algorithms for Natural Language Processing ] ||Graduate || ||2006<br />
|-<br />
|USA ||Carnegie Mellon University ||[http://www.cs.cmu.edu/afs/cs.cmu.edu/project/cmt-55/lti/Courses/721/2006/www/ Grammars and Lexicons ] ||Graduate || LISP ||2006<br />
|-<br />
| USA || Carnegie Mellon University || [http://www.cs.cmu.edu/~roni/11761-s07 Language and Statistics I] || Graduate || || 2007<br />
|-<br />
| USA || Carnegie Mellon University || [http://www.cs.cmu.edu/~nasmith/LS2 Language and Statistics II] || Graduate || || 2007<br />
|-<br />
|USA ||Carleton College ||[http://www.mathcs.carleton.edu/faculty/jondich/cs395/ (BROKEN LINK) Natural Language Processing ] ||Undergraduate ||C++ Perl ||2003<br />
|-<br />
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs172 Computation, Information, and Intelligence ] ||Undergraduate || ||2008<br />
|-<br />
|USA ||Cornell University ||[http://courses.cit.cornell.edu/ling4424 Computational Linguistics ] ||Undergraduate || ||2013<br />
|-<br />
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs4300 Information Retrieval ] ||Undergraduate || ||2013<br />
|-<br />
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs4740 Introduction to Natural Language Processing ] ||Undergraduate || ||2014<br />
|-<br />
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs6740 Advanced Language Technologies ] ||Graduate || ||2012<br />
|-<br />
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs6742 Natural Language Processing and Social Interaction ] ||Graduate || ||2014<br />
|-<br />
|USA ||Cornell University || Speech Synthesis by Rule||Graduate || ||2008<br />
|-<br />
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs775/2001sp/default.html Statistical Natural Language Processing: Models and Methods ] ||Graduate || ||2010<br />
|-<br />
|USA ||CUNY Graduate Center ||[http://bb.gc.cuny.edu/ (BROKEN LINK) Language Technology ] ||Graduate ||Perl ||2003<br />
|-<br />
|USA ||Emory University ||[https://github.com/emory-courses/cs329 Computational Linguistics ] ||Undergraduate ||Python ||2016<br />
|-<br />
|USA ||Emory University ||[https://github.com/emory-courses/cs571 Natural Language Processing ] ||Both ||Java, Python ||2015<br />
|-<br />
|USA ||Georgetown University ||[http://www9.georgetown.edu/faculty/mad87/06/362/ Introduction to Natural Language Processing ] ||Both ||Perl ||2006<br />
|-<br />
|USA ||Georgetown University ||[http://www.georgetown.edu/faculty/wilsong/Tools/Ling367.html Computational Linguistics: Tools for Linguists ] ||Both || ||2006<br />
|-<br />
|USA ||Georgetown University ||[http://www9.georgetown.edu/faculty/mad87/06/561/ Seminar: Computational Linguisics ] ||Graduate ||Python ||2006<br />
|-<br />
|USA ||Georgetown University ||[http://www9.georgetown.edu/faculty/mad87/06/420/ Statistical NLP] ||Both ||Python ||2006<br />
|-<br />
|USA ||Harvard University ||[http://www.courses.fas.harvard.edu/~cs187/ Introduction to Computational Linguistics ] ||Both ||Prolog ||2006<br />
|-<br />
|USA ||Hunter College CUNY ||[http://bb.hunter.cuny.edu/ Language Technology ] ||Undergraduate ||C++ ||2003<br />
|-<br />
|USA ||Johns Hopkins University ||[http://www.cs.jhu.edu/~jason/465 Natural Language Processing ] ||Both ||student choice ||2006<br />
|-<br />
|USA ||Johns Hopkins University ||[http://www.clsp.jhu.edu/~sanjeev/520.666/ Information Extraction ] ||Graduate || ||2006<br />
|-<br />
|USA ||Johns Hopkins University ||[http://www.cs.jhu.edu/~jason/465 Seminar in Natural Language Processing ] ||Graduate || ||2006<br />
|-<br />
|USA ||Johns Hopkins University ||[http://cs.jhu.edu/~jason/405/ Finite-State Methods in Natural Language Processing ] ||Graduate || ||2003<br />
|-<br />
|USA ||Johns Hopkins University ||[http://cs.jhu.edu/~jason/665/ Statistical Language Learning ] ||Graduate || ||2003<br />
|-<br />
|USA ||Johns Hopkins University ||[http://apl.jhu.edu/~paulmac/ir.html Information Retrieval ] ||Graduate || ||2010<br />
|-<br />
|USA ||The Ohio State University ||[http://www.cse.ohio-state.edu/~fosler/794L/ Foundations of Spoken Language Processing ] ||Both ||MATLAB student choice ||2006<br />
|-<br />
|USA ||The Ohio State University ||[http://www.cse.ohio-state.edu/cgi-bin/syllabus-view.cgi?cgi_state=view;SYLLABUS_ID=598 Computational Linguistics ] ||Both ||Java ||2006<br />
|-<br />
|USA ||The Ohio State University ||[http://ling.ohio-state.edu/courses/course_info/?course_no=684.01 Symbolic Computational Linguistics ] ||Both || Prolog ||2003<br />
|-<br />
|USA ||The Ohio State University ||[http://ling.ohio-state.edu/courses/course_info/?course_no=684.02 Data-Intensive Computational Linguistics ] ||Both || Python ||2003<br />
|-<br />
|USA ||The Ohio State University ||[http://ling.ohio-state.edu/courses/course_info/?course_no=684.03 Computational Semantics ] ||Both || Prolog ||2006<br />
|-<br />
|USA ||Purdue University ||[http://min.ecn.purdue.edu/~ee669/ Natural Language Processing ] ||Graduate ||C C++ Java Lisp Perl Python ||2003<br />
|-<br />
|USA ||Rutgers University ||[http://www.cs.rutgers.edu/~mdstone/class/533 (BROKEN LINK) Natural Language Processing ] ||Both ||Java Perl Prolog ||2003<br />
|-<br />
|USA ||San Diego State University ||Computational Corpus Linguistics ||Both ||Python ||2006<br />
|-<br />
|USA ||San Diego State University ||Introduction to Computational Linguistics ||Both ||Python ||2006<br />
|-<br />
|USA ||Smith College ||Introduction to Computational Linguistics ||Undergraduate ||Lisp ||2003<br />
|-<br />
|USA ||Stanford University ||[http://www.stanford.edu/class/cs224n/ Natural Language Processing ] ||Both ||Java ||2006<br />
|-<br />
|USA ||Stanford University ||[http://www.stanford.edu/class/linguist180/ Introduction to Computer Speech and Language Processing ] ||Undergraduate ||Perl Python Java ||2006<br />
|-<br />
|USA ||Stanford University ||[http://www.stanford.edu/class/linguist288/ Natural Language Understanding ] ||Both || ||2006<br />
|-<br />
|USA ||Stanford University ||[http://www.stanford.edu/~mjkay/ Human and Machine Translation]||Both || ||2006<br />
|-<br />
|USA ||Stanford University ||[http://www.stanford.edu/~mjkay/ Programming and Algorithms for NLP]||Both || ||2006<br />
|-<br />
|USA ||Stanford University || Finite-State Methods in NLP||Both || ||2006<br />
|-<br />
|USA ||Stony Brook University ||[http://www.cs.sunysb.edu/~cse507 (BROKEN LINK) Introduction to Computational Linguistics ] ||Graduate ||Java Perl Prolog ||2003<br />
|-<br />
|USA ||SUNY Buffalo ||[http://www.cse.buffalo.edu/faculty/alphonce/Courses/Fall2006/cse467 Computational Linguistics ] ||Both||Lisp Perl||2006<br />
|-<br />
|USA ||SUNY Buffalo ||[http://www.cse.buffalo.edu/~rapaport/675.html Advanced Topics in Computational Linguistics ] ||Graduate ||Lisp ||2006<br />
|-<br />
|USA ||The University of Chicago ||[http://humanities.uchicago.edu/faculty/goldsmith/StatNLP/index.htm Statistical NLP ] ||Graduate ||Perl ||2003<br />
|-<br />
|USA ||University of California, Berkeley ||[http://www.cs.berkeley.edu/~klein/cs294-5/index.html Statistical NLP ] ||Graduate ||Java ||2005<br />
|-<br />
|USA ||University of California, San Diego ||[http://ling.ucsd.edu/~kehler/ling165.html Computational Linguistics ] ||Undergraduate ||Prolog ||2003<br />
|-<br />
|USA ||University of California, San Diego || Natural Language Processing in LISP ||Graduate ||Lisp ||2003<br />
|-<br />
|USA ||University of Colorado, Boulder || [http://verbs.colorado.edu/~mpalmer/Ling7800/index.html Advanced Computational Linguistics] || Graduate ||||2007<br />
|-<br />
|USA ||University of Colorado, Boulder || [http://www.colorado.edu/catalog/catalog05-06/cgi-bin/search.pl?abbr=ling&num=5200 Computational Corpus Linguistics ] || Graduate || Python || 2009<br />
|-<br />
|USA ||University of Colorado, Boulder || [http://www.colorado.edu/catalog/catalog09-10/search.pl?abbr=CSCI&num=5832&=Search Natural Language Processing ] || Graduate || Python || 2009<br />
|-<br />
|USA ||University of Colorado, Boulder || Natural Language Processing ||Undergraduate ||||2000<br />
|-<br />
|USA ||University of Colorado, Boulder ||[http://www.cs.colorado.edu/courses/csci6302.html Speech Recognition and Synthesis ]||Graduate ||||2002<br />
|-<br />
|USA ||University of Central Florida ||Advanced Artificial Intelligence ||Graduate ||Lisp ||2003<br />
|-<br />
|USA ||University of Central Florida ||Natural Language Understanding || ||Lisp Perl ||2003<br />
|-<br />
|USA ||University of Chicago ||[http://humanities.uchicago.edu/faculty/goldsmith/Industrial/syllabus.htm An Overview of Industrial Linguistics ] ||Graduate ||Perl ||2003<br />
|-<br />
|USA ||University of Georgia ||[http://www.ai.uga.edu/~mc/nlpfaq.html Applied Natural Language Processing ] ||Graduate ||Python ||2003<br />
|-<br />
|USA ||University of Georgia ||[http://www.ai.uga.edu/~mc/nlpfaq.html Natural Language Processing Techniques ] ||Graduate ||Prolog ||2003<br />
|-<br />
|USA ||University of Illinois - Chicago ||[http://www.cs.uic.edu/~bdieugen/teaching.html Natural Language Processing ] ||Both ||C Java Lisp Perl ||2003<br />
|-<br />
|USA ||University of Illinois - Urbana Champaign ||[http://catarina.ai.uiuc.edu/L406_06/ Introduction to Computational Linguisticss ] ||Both ||||2006<br />
|-<br />
|USA ||University of Illinois - Urbana Champaign ||[http://l2r.cs.uiuc.edu/#teaching Machine Learning and Natural Language ] ||Graduate ||||2005<br />
|-<br />
|USA ||University of Illinois - Urbana Champaign ||[http://l2r.cs.uiuc.edu/#teaching Machine Learning] ||Both ||||2005<br />
|-<br />
|USA ||University of Maryland, College Park ||[http://www.clis2.umd.edu/courses/796 (BROKEN LINK) Information Retrieval Systems ] ||Graduate ||C C++ Java ||2003<br />
|-<br />
|USA ||University of Maryland, College Park ||[http://www.umiacs.umd.edu/~resnik/ling723/ Computational Linguistics I ] ||Graduate || Perl ||2006<br />
|-<br />
|USA ||University of Maryland, College Park ||[http://www.umiacs.umd.edu/~resnik/ling647/ Computational Linguistics II ] ||Graduate || Perl ||2006<br />
|-<br />
|USA ||University of Maryland, College Park ||[http://www.umiacs.umd.edu/~resnik/ling848_fa2004/ Seminar in Computational Linguistics ] ||Graduate || ||2004<br />
|-<br />
|USA ||University of Michigan ||[http://www.eecs.umich.edu/~radev/LNI-winter2004 Language and Information ] ||Both || ||2004<br />
|-<br />
|USA ||University of Michigan ||[http://www.eecs.umich.edu/~radev/650w10 Information Retrieval ] ||Both || ||2005<br />
|-<br />
|USA ||University of Michigan ||[http://www.eecs.umich.edu/~radev/NLP-winter2013 Natural Language Processing ] ||Both || ||2005<br />
|-<br />
|USA ||University of Michigan ||[http://www.eecs.umich.edu/~radev/767w10 Advanced NLP/IR ] ||Graduate || ||2006<br />
|-<br />
|USA ||University of Minnesota, Duluth ||[http://www.d.umn.edu/~tpederse/teaching.html Introduction to Natural Language Processing ] ||Undergraduate ||Perl ||2003<br />
|-<br />
|USA ||University of Minnesota, Duluth ||[http://www.d.umn.edu/~tpederse/teaching.html Natural Language Processing ] ||Graduate ||Perl ||2003<br />
|-<br />
|USA ||University of North Texas ||[http://www.cs.unt.edu/~rada/CSCE5290 Natural Language Processing ] ||Graduate ||Perl ||2006<br />
|-<br />
|USA ||University of Pennsylvania ||[http://www.cis.upenn.edu/~cis520 Introduction to Artificial Intelligence ] ||Graduate || ||2003<br />
|-<br />
|USA ||University of Pennsylvania ||[http://www.cis.upenn.edu/~cis630 Advanced Topics in Natural Language Processing ] ||Graduate ||C++ Java Perl Python ||2003<br />
|-<br />
|USA ||University of Pennsylvania ||[http://www.cis.upenn.edu/~cse391 Introduction to Artificial Intelligence ] ||Undergraduate ||Prolog ||2003<br />
|-<br />
|USA ||University of Pittsburgh ||[http://www.cs.pitt.edu/~litman/courses/CS3730/cs3730.html Natural Language Processing ] ||Graduate || ||2003<br />
|-<br />
|USA ||University of Rochester ||[http://www.cs.rochester.edu/~schubert/247-447/ Natural Language Processing ] ||Both ||Lisp ||2006<br />
|-<br />
|USA ||University of Rochester ||[http://www.cs.rochester.edu/~gildea/2006_Fall/ Language, Parsing, and Complexity ] ||Both || ||2006<br />
|-<br />
|USA ||University of Rochester ||[http://www.cs.rochester.edu/~gildea/2005_Fall/ Speech Recognition and Statistical Natural Language Processing ] ||Both || ||2005<br />
|-<br />
|USA ||University of Rochester ||[http://www.cs.rochester.edu/~gildea/2004_Spring/ Seminar in AI: Statistical Machine Translation ] ||Graduate || ||2004<br />
|-<br />
|USA ||University of Southern California ||[http://www.isi.edu/~marcu/544/ Introduction to Natural Language Processing ] ||Graduate || ||2003<br />
|-<br />
|USA ||University of Southern California ||[http://www.isi.edu/~marcu/544/ Natural Language Processing ] ||Graduate ||C++ Java Lisp Perl ||2003<br />
|-<br />
|USA ||University of Southern California ||[http://www.isi.edu/natural-language/people/cs562-f2006-syll.htm Empirical Methods in Natural Language Processing ] ||Graduate || ||2006<br />
|-<br />
|USA ||University of St. Thomas, Saint Paul MN ||Information Retrieval ||Graduate ||C Java Perl Python ||2003<br />
|-<br />
|USA ||University of Texas at Austin ||[http://comp.ling.utexas.edu/jbaldrid/icl Introduction to Computational Linguistics ] ||Undergraduate||Python||2006<br />
|-<br />
|USA ||University of Texas at Austin ||Natural Language Processing||Undergraduate||Python, Java||[http://comp.ling.utexas.edu/courses/2008/fall/natural_language_processing 2008]<br />
|-<br />
|USA ||University of Texas at Austin ||Natural Language Processing||Graduate||Java||[http://www.cs.utexas.edu/~mooney/cs388/ 2008]<br />
|-<br />
|USA ||University of Texas at Austin ||Computational Linguistics I ||Graduate||Python||[http://www.utexas.edu/courses/jbaldrid/2006/compling1 2006], [http://comp.ling.utexas.edu/courses/2007/cl1/ 2007], [http://comp.ling.utexas.edu/courses/2008/cl1_08/ 2008]<br />
|-<br />
|USA ||University of Texas at Austin ||Computational Linguistics II ||Graduate||Python Java||[http://comp.ling.utexas.edu/jbaldrid/cl2 2006], [http://comp.ling.utexas.edu/courses/2007/cl2_07/ 2007]<br />
|-<br />
|USA ||University of Texas at Austin<br />
||Intro to working with corpora and programming || Both||Python||[http://comp.ling.utexas.edu/erk/corpora06.html 2006] [http://comp.ling.utexas.edu/courses/2007/corpora07/ 2007]<br />
|-<br />
|USA ||University of Texas at El Paso ||[http://www.cs.utep.edu/nigel/nlp/ Statistical Approaches to Natural Language Processing ] ||Both ||Perl ||2006<br />
|-<br />
|USA ||University of Utah ||[http://www.cs.utah.edu/classes/cs5340 Natural Language Processing ] ||Both ||C C++ Java Lisp Perl ||2003<br />
|-<br />
|USA ||University of Washington||[http://courses.washington.edu/ling472 Introduction to Computational Linguistics] ||Undergraduate ||Perl ||2006<br />
|-<br />
|USA ||University of Washington||[http://courses.washington.edu/ling570/ Shallow Methods in Natural Language Processing]||Graduate ||Python Java C++ Perl||2007<br />
|-<br />
|USA ||University of Washington||[http://courses.washington.edu/ling571/ Deep Processing Techniques for Natural Language Processing] ||Graduate ||Python Java C++ Perl||2007<br />
|-<br />
|USA ||University of Washington||[http://courses.washington.edu/ling572/ Advanced Statistical Methods for Natural Language Processing] ||Graduate ||Python Java C++ Perl||2008<br />
|-<br />
|USA ||University of Washington||[http://courses.washington.edu/ling573/ Systems/Applications] ||Graduate ||Python Java C++ Perl||2008<br />
|-<br />
|USA ||University of Washington||[http://courses.washington.edu/ling567 Knowledge Engineering for NLP] ||Graduate ||tdl ||2006<br />
|-<br />
|USA ||University of Wisconsin-Madison ||Intensive Computational Linguistics ||Both ||C++ Java ||2003<br />
|- <br />
|USA ||University of Wisconsin-Madison ||[http://www.cs.wisc.edu/~jerryzhu/cs769.html Advanced Natural Language Processing ] ||Graduate||student choice||2008<br />
|- |]<br />
<br />
<br />
<br />
[[Category:Education]]<br />
[[Category:Natural language processing]]</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=List_of_NLP/CL_courses&diff=11954List of NLP/CL courses2017-08-12T15:53:20Z<p>Pdturney: </p>
<hr />
<div>This page lists university courses that contain substantial content in [[Natural Language Processing]] and [[Computational Linguistics]], and is derived from a [http://www.clt.mq.edu.au/survey/ survey]<br />
sponsored by the [[Association for Computational Linguistics]].<br />
Courses are categorized by level (undergraduate, graduate, or both)<br />
and programming language. The final column gives the year when the<br />
information was confirmed to be accurate. (Entries more than five years<br />
old, and entries with broken hyperlinks, may be culled.)<br />
<br />
<br />
{| border=1 cellspacing=0 cellpadding=3 style="border-collapse: collapse;"<br />
! Country !! Institution !! Course Name !! Level !! Languages !! Row Updated<br />
|-<br />
|Australia ||Macquarie University ||[http://www.comp.mq.edu.au/units/comp248/ Introduction to Natural Language Processing ] ||Both ||Prolog ||2006<br />
|-<br />
|Australia ||Macquarie University ||[http://www.comp.mq.edu.au/units/comp348/ Document Processing and the Semantic Web ] ||Undergraduate ||Python ||2006<br />
|-<br />
|Australia ||Macquarie University ||[http://www.comp.mq.edu.au/units/comp349/ Spoken Language Dialogue Systems] ||Undergraduate ||Prolog ||2006<br />
|-<br />
|Australia ||University of Melbourne ||[http://www.cs.mu.oz.au/460/ Human Language Technology ] ||Undergraduate ||Python ||2006<br />
|-<br />
|Australia ||University of Melbourne ||[http://webraft.its.unimelb.edu.au/175410/pub/ Computational Linguistics ] ||Undergraduate ||Python ||2006<br />
|-<br />
|Australia ||University of Sydney ||Statistical Natural Language Processing ||Graduate ||Python ||2003<br />
|-<br />
|Austria ||University of Vienna ||Wissensbasierte Sprachverarbeitung ||Graduate ||Prolog ||2003<br />
|-<br />
|Belarus ||Grodno State University ||Introduction to Computational Linguistics ||Undergraduate || ||2003<br />
|-<br />
|Belgium ||Katholieke Universiteit Leuven (K.U.Leuven) ||[http://www.kuleuven.be/onderwijs/aanbod2006/syllabi/H02C8AE.htm Text Based Information Retrieval] ||Both || Java, C, MATLAB ||2006<br />
|-<br />
|Belgium ||Katholieke Universiteit Leuven (K.U.Leuven) ||[http://www.kuleuven.be/onderwijs/aanbod/syllabi/H02B1AE.htm Natural Language Processing] ||Master ||Perl ||2010<br />
|-<br />
|Belgium ||Katholieke Universiteit Leuven (K.U.Leuven) ||[http://www.ccl.kuleuven.be/Courses/LTAI/index.html Linguistic Theories and Artificial Intelligence] ||Master || ||2010<br />
|-<br />
|Belgium ||Katholieke Universiteit Leuven (K.U.Leuven) ||[http://www.kuleuven.ac.be/onderwijs/aanbod/syllabi/F0AR3AN.htm Computerlinguïstiek]||Undergraduate||Perl ||2010<br />
|-<br />
|Belgium ||University of Antwerp ||[https://www.uantwerpen.be/popup/opleidingsonderdeel.aspx?catalognr=2010FLWTAA&taal=en&aj=2015 Computational Linguistics] ||Master || Python ||2016<br />
|-<br />
|Belgium ||University of Antwerp ||[https://www.uantwerpen.be/popup/opleidingsonderdeel.aspx?catalognr=2011FLWTAA&taal=en&aj=2015 Computational Models of Language Understanding ] ||Master ||Python ||2016<br />
|-<br />
|Belgium ||University of Antwerp ||[https://www.uantwerpen.be/popup/opleidingsonderdeel.aspx?catalognr=2012FLWTAA&taal=en&aj=2015 Commputational Psycholinguistics ] ||Master || ||2016<br />
|-<br />
|Brazil ||Universidade Federal de Santa Catarina || Lingüística Computacional ||Graduate ||Perl Prolog ||2003<br />
|-<br />
|Brazil ||Universidade Federal de Santa Catarina || Lingüística Computacional I/II ||Undergraduate ||Perl Prolog ||2003<br />
|-<br />
|Brazil ||Universidade Federal de São Carlos ||Topics on Informatics (Introduction on NLP) ||Graduate ||C C++ Prolog ||2003<br />
|-<br />
|Brazil ||Universidade de São Paulo (ICMC-São Carlos) ||[http://uspdigital.usp.br/janus/componente/disciplinasOferecidasInicial.jsf?action=3&sgldis=SCC5869 Topics on NLP I ] ||Graduate || ||2012<br />
|-<br />
|Brazil ||Universidade de São Paulo (ICMC-São Carlos) ||[http://uspdigital.usp.br/janus/componente/disciplinasOferecidasInicial.jsf?action=3&sgldis=SCC5928 Topics on NLP II ] ||Graduate || ||2012<br />
|-<br />
|Brazil ||Universidade de São Paulo (ICMC-São Carlos) ||[http://uspdigital.usp.br/janus/componente/disciplinasOferecidasInicial.jsf?action=3&sgldis=SCC5908 Introduction to NLP ] ||Graduate || ||2012<br />
|-<br />
|Brazil ||Universidade Estadual Paulista (UNESP) || Tecnologias da Linguagem Humana|| Undergraduate ||Prolog||2005<br />
|-<br />
|Brazil ||Universidade Estadual Paulista (UNESP) || Processamento Automático de Línguas Naturais ||Graduate ||Prolog ||2005<br />
|-<br />
|Canada ||Concordia University ||Statistical Language Processing ||Graduate || Java C++ Perl ||2006<br />
|-<br />
|Canada ||Simon Fraser University ||[http://www.cs.sfu.ca/~anoop/courses/CMPT-413-Spring-2005/index.html Computational Linguistics ] || Undergraduate ||Perl ||2005<br />
|-<br />
|Canada ||Simon Fraser University ||[http://www.cs.sfu.ca/~anoop/courses/CMPT-825-Spring-2006/index.html Natural Language Processing ] ||Graduate ||Perl ||2006<br />
|-<br />
|Canada ||Simon Fraser University ||[http://www.cs.sfu.ca/~anoop/courses/CMPT-882-Fall-2002/index.html Statistical Learning of Natural Language ] ||Graduate || ||2003<br />
|-<br />
|Canada ||Université de Montréal ||Grammaires formelles ||Undergraduate ||Prolog ||2003<br />
|-<br />
|Canada ||Université de Montréal ||Indexation et condensation automatiques ||Graduate || ||2003<br />
|-<br />
|Canada ||Université de Montréal ||Morphologie computationnelle ||Graduate ||Prolog ||2003<br />
|-<br />
|Canada ||Université. de Montréal ||Syntaxe computationnelle ||Graduate ||Prolog ||2003<br />
|-<br />
|Canada ||University of Alberta || [http://www.cs.ualberta.ca/~kondrak/cmput650 Natural Language Processing ]||Graduate ||Perl ||2006<br />
|-<br />
|Canada ||University of Montreal ||Computational Linguistics ||Graduate ||Prolog ||2003<br />
|-<br />
|Canada ||University of Ottawa ||[http://www.site.uottawa.ca/~diana/csi5180/ Statistical Techniques for Natural Language Processing ] ||Graduate || Perl Java||2004<br />
|-<br />
|Canada ||University of Ottawa ||[http://www.site.uottawa.ca/~szpak/teaching/5386/ Natural Language Processing ] ||Graduate || Prolog Perl||2006<br />
|-<br />
|Canada ||University of Toronto ||[http://www.cs.toronto.edu/~suzanne/2501/index.html Computational Linguistics] ||Both||C++ ||2006<br />
|-<br />
|Canada ||University of Toronto ||[http://www.cs.toronto.edu/~gpenn/csc401 Natural Language Computing ] ||Both ||Python ||2008<br />
|-<br />
|Canada ||University of Toronto ||[http://www.cs.utoronto.ca/~gh/Courses/2528/index.html Advanced computational linguistics ] ||Graduate || ||2006<br />
|-<br />
|CHINA ||Nanjing Normal University || Statistical Natural Language Processing ||Graduate || C++ ||2007<br />
|-<br />
|CHINA ||Nanjing University || Machine Translation ||Graduate || ||2006<br />
|-<br />
|Costa Rica ||Universidad de Costa Rica ||[http://espanol.groups.yahoo.com/group/fl-1036/ Tecnologías y producción textual I ] ||Undergraduate || ||2003<br />
|-<br />
|Costa Rica ||Universidad de Costa Rica ||Tecnologías y producción textual ||Graduate || ||2003<br />
|-<br />
|Czech Republic ||Charles University ||[http://ufal.mff.cuni.cz/~hajic/courses/pfl043/0203/syllabus.html Statistical methods in NLP ] ||Both ||Perl ||2003<br />
|-<br />
|Czech Republic ||Silesian University ||[http://ui.fpf.slu.cz/sylaby.html (BROKEN LINK) Natural Language Processing I/II ] ||Undergraduate || ||2003<br />
|-<br />
|Denmark ||Copenhagen University || [http://studies.ku.dk/masters/it-and-cognition/programme-structure/ Language Processing] || Graduate || Python || 2014<br />
|-<br />
|Denmark ||University of Southern Denmark, Odense ||[http://visl.hum.sdu.dk/members/sharder/undervisning/compling02/ Introduction to Computational Linguistics ] ||Both ||Prolog ||2003<br />
|-<br />
|Estonia ||University of Tartu ||[http://www.cs.ut.ee/~koit/ Computational Models in Language Understanding ] ||Both ||C++ ||2003<br />
|-<br />
|Estonia ||University of Tartu ||[http://www.cs.ut.ee/~koit/ Introduction to Computational Linguistics ] ||Both ||Prolog ||2003<br />
|-<br />
|Estonia ||University of Tartu ||[http://www.cs.ut.ee/~koit/ Mathematics for Computational Linguists II ] ||Undergraduate || ||2003<br />
|-<br />
|Finland ||Helsinki University of Technology ||[http://www.cis.hut.fi/Opinnot/T-61.6090/ Special Course in Language Technology ] || Graduate || || 2006<br />
|-<br />
|Finland ||Helsinki University of Technology ||[http://www.cis.hut.fi/Opinnot/T-61.5020/ Statistical and Adaptive Natural Language Processing ] || Both || || 2006<br />
|-<br />
|Germany ||Saarland University ||[http://www.coli.uni-sb.de/~hansu/gf02.html Grammar Formalisms ] ||Undergraduate || ||2003<br />
|-<br />
|Germany ||Saarland University ||[http://www.coli.uni-sb.de/~hansu/vlcl01.html Introduction to Computational Linguistics ] ||Undergraduate || ||2003<br />
|-<br />
|Germany ||Saarland University ||[http://www.ps.uni-sb.de/~niehren/Web/Vorlesungen/Oz-NL-SS01/BookHomePage.html Concurrent constraint programming for natural language processing ] ||Both || Mozart Oz ||2003<br />
|-<br />
|Germany ||Universität Tübingen ||Computational Linguistics 1: Parsing ||Undergraduate ||Java ||2003<br />
|-<br />
|Germany ||University of Bremen ||Introduction to Natural Language Generation ||Undergraduate ||Lisp ||2003<br />
|-<br />
|Germany ||University of Bremen ||[http://www.cl.uni-bremen.de/~stefan/Lehre/CL/ Einführung in die Computerlinguistik ]||Undergraduate || ||2006<br />
|-<br />
|Germany ||University of Bremen ||[http://www.cl.uni-bremen.de/~stefan/Lehre/GE-Trale/ Einführung in die Grammatikentwicklung ]||Both || ||2006<br />
|-<br />
|Germany ||University of Dusseldorf ||[http://web.phil-fak.uni-duesseldorf.de/~kilbury/courses.htm Introduction to Computational Linguistics ] ||Undergraduate || ||2003<br />
|-<br />
|Germany ||University of Heidelberg ||[http://kontext.fraunhofer.de/haenelt/kurs/Parsing Parsing ] ||Graduate ||C Java Perl ||2003<br />
|-<br />
|Greece||Athens University of Economics and Business ||[http://eclass.aueb.gr/courses/INF153/ Artificial Intelligence]||Undergraduate ||C++ Java Prolog ||2010<br />
|-<br />
|Greece||Athens University of Economics and Business ||[http://eclass.aueb.gr/courses/INF210/ Language Technology]||Graduate ||C++ Java Prolog ||2010<br />
|-<br />
|Greece||Athens University of Economics and Business ||[http://eclass.aueb.gr/courses/INF154/ Logic and Artificial Intelligence]||Graduate ||C++ Java Prolog ||2010<br />
|-<br />
|India ||Assam University ||Natural Language Processing ||Graduate ||C C++ ||2003<br />
|-<br />
|India ||Banasthali University ||Natural Language Processing ||Graduate ||Perl Java Prolog Python ||2009<br />
|-<br />
|India || Indian Institute of Information Technology Allahabad || Natural Language Processing || Undergraduate Graduate || Java LISP Prolog Perl || 2005<br />
|-<br />
|India || Indian Institute of Science Bangalore ||[https://sites.google.com/site/2015e1246/ Natural Language Understanding] || Both || || 2015<br />
|-<br />
|India || Indian Institute of Science Bangalore ||[https://sites.google.com/site/se3052014 Topics in Large-scale Knowledge Harvesting] || Graduate || || 2014<br />
|-<br />
|India || Indian Institute of Technology Bombay ||[http://www.cse.iitb.ac.in/~cs460 Natural Language Processing] || both || Java Perl Prolog || 2004<br />
|-<br />
|India || International Institute of Information Technology IIIT Hyderabad || Natural Language Processing || both || Perl Python Java || 2001<br />
|-<br />
|India || International Institute of Information Technology IIIT Hyderabad || Applications to Natural Language Processing || both || Perl Python Java || 2001<br />
|-<br />
|Iran || University of Tehran ||[http://ece.ut.ac.ir/Classpages/S87/ECE500/index.htm Intelligent Information Retrieval ] ||both || ||2008<br />
|-<br />
|Iran || University of Tehran ||[http://ece.ut.ac.ir/classpages/F85/NaturalLanguageProcessing/ Natural Language Processing ] ||both || ||2008<br />
|-<br />
|Ireland ||Dublin City University ||[http://www.compapp.dcu.ie/~john/ca261.html Computational Linguistics 2 ] ||Undergraduate ||Java Perl ||2003<br />
|-<br />
|Ireland ||Dublin City University ||[http://www.computing.dcu.ie/~away/CL2/cl.html Computational Linguistics I ] ||Undergraduate ||Prolog ||2003<br />
|-<br />
|Israel ||University of Haifa ||[http://cs.haifa.ac.il/~shuly/teaching/index.html Computational Linguistics ] ||Both || ||2006<br />
|-<br />
|Italy ||University of Bologna ||[http://www.cilta.unibo.it/LingComp/ Linguistica Computazionale ] ||Both || ||2003<br />
|-<br />
|Italy ||Universita' di Padova ||Natural Language Processing ||Graduate ||C++ Perl ||2003<br />
|-<br />
|Italy ||University of Siena||[http://www.ciscl.unisi.it/corsi.htm?id=29 Linguistica Computazionale ] ||Both || C Java PHP ||2006<br />
|-<br />
|Japan ||Japan Advanced Institute of Science and Technology ||[http://www.jaist.ac.jp/~gakusei/kyoumu/syllabi22/eng/2010_1I223.html Natural Language Processing I] ||Graduate ||C Perl ||1998<br />
|-<br />
|Japan ||Japan Advanced Institute of Science and Technology ||[http://www.jaist.ac.jp/~gakusei/kyoumu/syllabi22/eng/2010_1I414.html Natural Language Processing II] ||Graduate ||C Perl ||2001<br />
|-<br />
|Japan ||Japan Advanced Institute of Science and Technology ||[http://www.jaist.ac.jp/~gakusei/kyoumu/syll14/k417e.html Methodology for Knowledge Discovery ] ||Graduate ||C Perl ||2003<br />
|-<br />
|Japan ||Yamagata University ||[http://www.yz.yamagata-u.ac.jp Natural Language Processing ] ||Undergraduate || ||2003<br />
|-<br />
|Japan ||Yamaguchi University ||Introduction to Computational Linguistics ||Undergraduate || ||2003<br />
|-<br />
|Korea ||Postech ||[http://nlp.postech.ac.kr/Course/CS704/index.html Machine Learning for NLP ] ||Graduate ||C C++ ||2003<br />
|-<br />
|Korea ||Postech, Korea ||[http://nlp.postech.ac.kr/Course/CS730b/2001/index.html Statistical Natural Language Processing ] ||Graduate ||C C++ ||2003<br />
|-<br />
|Malta||University of Malta ||[http://www.um.edu.mt/linguistics/human_language_technology/hlt BSc in Human Language Technology ] ||undergraduate ||python ||2016<br />
|-<br />
|Malta||University of Malta ||[http://www.um.edu.mt/linguistics/human_language_technology/msc MSc in Language and Computation ] || MSc ||python ||2016<br />
|-<br />
|Mexico ||National Polytechnic Institute ||[http://www.gelbukh.com/clbook/ Computational linguistics] ||Both || Perl, C++ ||2010<br />
|-<br />
|Mexico ||National Polytechnic Institute ||[http://www.gelbukh.com/courses/ Information Retrieval] ||Both || Perl, C++ ||2010<br />
|-<br />
|New Zealand ||University of Otago ||Computational linguistics ||Graduate ||Prolog ||2003<br />
|-<br />
|Norway ||University of Trondheim ||[http://www.idi.ntnu.no/~natlang/ Natural Language Interfaces ] ||Undergraduate ||Prolog ||2003<br />
|-<br />
|Poland ||Warsaw University ||[https://usosweb.mimuw.edu.pl/kontroler.php?_action=actionx:katalog2/przedmioty/pokazPrzedmiot(prz_kod:3301-JF-21J-SO) Computational Syntax ] ||Undergraduate ||Prolog ||2007<br />
|-<br />
|Poland ||Warsaw University ||[https://usosweb.mimuw.edu.pl/kontroler.php?_action=actionx:katalog2/przedmioty/pokazPrzedmiot(prz_kod:1000-2M07LK) Linguistic Engineering - Constructions ] ||Both ||Perl, Python, etc. ||2007<br />
|-<br />
|Poland ||Warsaw University ||[https://usosweb.mimuw.edu.pl/kontroler.php?_action=actionx:katalog2/przedmioty/pokazPrzedmiot(prz_kod:1000-2M07LS) Linguistic Engineering - Words ] ||Both ||Perl, Python, etc. ||2007<br />
|-<br />
|Portugal ||University of Lisbon ||[http://www.di.fc.ul.pt/sobre/?lei-detalhesdisciplinas#PLN Natural Language Processing ] ||Both ||Prolog ||2003<br />
|-<br />
|Portugal ||University of Lisbon ||[http://www.di.fc.ul.pt/sobre/?lei-detalhesdisciplinas#ILN Interaction in Natural Language ] ||Both ||C Java Perl Prolog Python ||2003<br />
|-<br />
|Portugal ||University of Lisbon ||[http://www.di.fc.ul.pt/sobre/?lei-detalhesdisciplinas#MQL Quantitative Language Nodelling ] ||Both ||Java Perl Prolog Python ||2003<br />
|-<br />
|Romania ||University A.I. Cuza, Iasi ||[http://www.infoiasi.ro/fcs/en/plan/plan-1-ml.html Introduction to Computational Linguistics, Corpus Linguistics ] ||Graduate ||C C++ Java Lisp Perl ||2003<br />
|-<br />
|Slovenia ||University of Ljubljana ||[http://www.ff.uni-lj.si/hp/pj/seminar/bes_in_rac.html Besedilo in ra&#269;unalnik ] ||Undergraduate || ||2003<br />
|-<br />
|Singapore ||National University of Singapore ||[http://www.comp.nus.edu.sg/ Natural Language Processing ] ||Both || ||2012<br />
|-<br />
|Spain ||University of the Basque Country and Udako Euskal Unibertsitatea ||[http://ixa.si.ehu.eus/master Hizkuntzaren Azterketa eta Prozesamendua (Analysis and Processing of Language) ] ||Graduate || Perl ||2008<br />
|-<br />
|Spain ||University of the Basque Country ||[http://ixa.si.ehu.eus/master Lengoaia Naturalaren Prozesamendua (Natural Language Processing) ] ||Undergraduate ||Lisp Prolog Python||2008<br />
|-<br />
|Spain ||Universidad Complutense de Madrid || Lingüística Computacional ||Undergraduate ||Lisp Prolog ||2003<br />
|-<br />
|Spain ||Universitat Autònoma de Barcelona ||[http://liceu.uab.es/~joaquim/Tecnologies_Parla.html Tecnologies de la parla (Speech Technologies) ] ||Graduate || ||2006<br />
|-<br />
|Spain ||Universidad Autónoma de Madrid ||[http://www.eps.uam.es/~ealfon/nlp/ Procesamiento de Lenguaje Natural ] ||Graduate || ||2006<br />
|-<br />
|Spain ||Universidade da Coruña ||[http://www.grupolys.org/docencia/ln/ Lenguajes Naturales ] ||Undergraduate ||Java C Python ||2009<br />
|-<br />
|Sri Lanka ||University of Colombo School of Computing||Natural Language Processing ||Both ||Prolog, Python ||2009<br />
|-<br />
|Sweden ||[http://www.gu.se/ Göteborg University] ||[http://www.cling.gu.se/ Computational Linguistics ] ||Undergraduate ||Java Prolog Python Oz Perl||2006<br />
|-<br />
|Sweden ||Linköping University ||[http://www.ida.liu.se/~TDDB71/ Språkteknologi (Language technology) ] ||Undergraduate ||Java Lisp Perl ||2003<br />
|-<br />
|Sweden ||Linköping University ||[http://www.ida.liu.se/~TDDB73/ Språkteknologiska system (Language Engineering Systems) ] ||Undergraduate ||Java Lisp ||2003<br />
|-<br />
|Sweden ||Lunds tekniska högskola ||[http://www.cs.lth.se/Education/Courses/EDA171/ Language processing and computational linguistics ] ||Undergraduate ||Perl Prolog ||2006<br />
|-<br />
|Sweden ||[http://www.gslt.hum.gu.se/ Swedish National Graduate School of Language Technology] ||[http://www.gslt.hum.gu.se/courses/ Ph.D. Courses in Language Technology ] ||Graduate || ||2006<br />
|-<br />
|Sweden ||Uppsala University ||[http://stp.lingfil.uu.se/utbildning/ Language Technology ] ||Undergraduate ||Java Prolog Python||2006<br />
|-<br />
|Sweden ||Växjö University ||[http://w3.msi.vxu.se/~nivre/teaching/nlp/dac723.html Language Technology ] ||Undergraduate || ||2006<br />
|-<br />
|Switzerland ||Swiss Federal Institute of Technology ||[http://lithwww.epfl.ch/teaching/rdf/ Pattern Recognition ] ||Undergraduate ||C++ Perl ||2003<br />
|-<br />
|Switzerland ||University of Zurich ||[http://www.cl.unizh.ch/siclemat/lehre/ss02/pcl2/ Programming Techniques in Computational Linguistics II ] ||Undergraduate ||Prolog ||2003<br />
|-<br />
|Switzerland ||University of Zurich ||[http://www.cl.unizh.ch/siclemat/lehre/ws0102/pcl1/ Programming Techniques in Computational Linguistics I ] ||Undergraduate ||Prolog ||2003<br />
|-<br />
|Switzerland ||University of Zurich ||[http://www.ifi.unizh.ch/CL/hess/classes/dsa/ Discourse Analysis ] ||Graduate ||Prolog ||2003<br />
|-<br />
|Switzerland ||University of Zurich ||[http://www.ifi.unizh.ch/CL/hess/classes/ecl Introduction to Computational Linguisticss ] ||Undergraduate ||Prolog ||2003<br />
|-<br />
|Switzerland ||University of Zurich ||[http://www.ifi.unizh.ch/CL/hess/classes/mki/ AI Methods in Computational Linguistics ] ||Graduate ||Prolog ||2003<br />
|-<br />
|Switzerland ||University of Zurich ||[http://www.ifi.unizh.ch/CL/hess/classes/sma/ Methods of Semantic Analysis ] ||Undergraduate ||Prolog ||2003<br />
|-<br />
|Switzerland ||Zurich University ||[http://www.ifi.unizh.ch/cl/klenner/lehre/ws0203/fg.html/ Statistical Natural Language Processing ] ||Undergraduate || ||2003<br />
|-<br />
|Taiwan ||[http://www.nccu.edu.tw/english/main.php National Chengchi University] || [http://www.cs.nccu.edu.tw/~chaolin/courses/nlp06f.html Natural Language Processing] || Graduate || student choice || 2006<br />
|-<br />
|Taiwan ||National Taiwan University ||[http://nlg.csie.ntu.edu.tw/courses/IR/course_IR.html Information Retrieval and Extraction] ||Both ||Student Choice ||2006<br />
|-<br />
|Taiwan ||National Taiwan University ||[http://nlg.csie.ntu.edu.tw/courses/NLP/ Natural Language Processing] ||Both ||Student Choice||2006<br />
|-<br />
|Taiwan ||National Tsing Hua University ||Natural Language Processing ||Graduate ||Foxpro ||2006<br />
|-<br />
|Taiwan ||National Tsing Hua University ||Natural Language Processing Lab ||Graduate ||Foxpro ||2006<br />
|-<br />
|Taiwan ||The Institute of Linguistics, Academia Sinica ||[http://clclp.ling.sinica.edu.tw/ Computational Linguistics and Chinese Language Processing] ||Graduate || ||2005<br />
|-<br />
|Thailand ||Chulalongkorn University ||[http://pioneer.chula.ac.th/~awirote/ling/2209674.htm Computational Linguistics I ] ||Graduate ||Perl Prolog ||2003<br />
|-<br />
|Turkey ||Middle East Technical University ||[http://www.ceng.metu.edu.tr/~bozsahin/nli/ceng563/ computational linguistics I ] ||Graduate ||Prolog ||2003<br />
|-<br />
|Turkey ||Middle East Technical University ||[http://www.ceng.metu.edu.tr/~bozsahin/nli/ceng584/ cognitive aspects of NLP ] ||Graduate ||C Java Lisp Prolog ||2003<br />
|-<br />
|UK ||Imperial College ||[http://www.hu.ic.ac.uk/translation Introduction to Language Engineering ] ||Graduate || ||2003<br />
|-<br />
|UK ||Loughborough University ||[http://www.lboro.ac.uk/departments/co/teaching/mcomp.html (BROKEN LINK) Natural Language and Speech Systems ] ||Undergraduate || ||2003<br />
|-<br />
|UK ||University of Birmingham ||[http://www.cs.bham.ac.uk/internal/modules/current/02495.html Natural Language Processing 1 ] ||Undergraduate ||Prolog ||2006<br />
|-<br />
|UK ||University of Birmingham ||[http://www.cs.bham.ac.uk/internal/modules/current/11223.html Natural Language Processing and Applications ] ||Both || ||2006<br />
|-<br />
|UK ||University of Birmingham ||[http://www.cs.bham.ac.uk/internal/modules/current/02648.html Natural Language Processing 2 ] ||Both || ||2006<br />
|-<br />
|UK ||University of Brighton ||[http://www.itri.brighton.ac.uk/courses/MScLex (BROKEN LINK) MSc in Lexical Computing and Lexicography ] ||Graduate ||Awk Perl ||2003<br />
|-<br />
|UK ||University of Brighton ||[http://www.itri.brighton.ac.uk/ Lexical Computing and Lexicography ] ||Graduate ||Perl ||2003<br />
|-<br />
|UK ||University of Cambridge ||[http://www.cl.cam.ac.uk/Teaching/current/NLP/ Natural Language Processing ] ||Undergraduate || ||2010<br />
|-<br />
|UK ||University of Cambridge ||[http://www.cl.cam.ac.uk/admissions/acs/ MPhil in Advanced Computer Science] ||Graduate || || 2010<br />
|-<br />
|UK ||University of Edinburgh ||[http://www.ling.ed.ac.uk/teaching/postgrad/mscslp/ M.Sc. in Speech and Language Processing ] ||Graduate ||Java Perl Prolog Python ||2003<br />
|-<br />
|UK ||University of Essex ||[http://courses.essex.ac.uk/lg/LG511 Computatiuonal Linguistics 1 ] ||Graduate ||Prolog ||2003<br />
|-<br />
|UK ||University of Essex ||[http://courses.essex.ac.uk/lg/LG519 Prolog I ] ||Graduate ||Prolog ||2003<br />
|-<br />
|UK ||University of Essex ||[http://courses.essex.ac.uk/lg/LG611 Computational Linguistics II ] ||Graduate ||Prolog ||2003<br />
|-<br />
|UK ||University of Essex ||[http://courses.essex.ac.uk/lg/LG619 Prolog II ] ||Graduate ||Prolog ||2003<br />
|-<br />
|UK ||University of Essex ||[http://cswww.essex.ac.uk/staff/poesio/cc437 Advanced Natural Language Engineering ] ||Graduate ||Java Perl ||2003<br />
|-<br />
|UK ||University of Leeds ||[http://www.comp.leeds.ac.uk/eric/ar32/ Natural Language Processing ] ||Both ||C++ Java Perl Prolog ||2003<br />
|-<br />
|UK ||University of Leeds ||[http://www.leeds.ac.uk/cts Computers and the Translator ] ||Undergraduate || ||2003<br />
|-<br />
|UK ||University of Leeds ||[http://www.leeds.ac.uk/cts Principles and Applications of MT ] ||Graduate || ||2003<br />
|-<br />
|UK ||University of Sheffield ||[http://www.shef.ac.uk/dcs/postgrad/taught/hlt.html M.Sc. Human Language Technology ] ||Postgraduate || ||2006<br />
|-<br />
|UK ||University of Sheffield ||[http://www.dcs.shef.ac.uk/intranet/teaching/modules/art/2005-6/stevenson.htm Language Engineering: Information Extraction ] ||Both || ||2006<br />
|-<br />
|UK ||University of Sheffield ||[http://www.dcs.shef.ac.uk/intranet/teaching/modules/level3/com4250.html Natural Language Processing ] ||Both ||Python ||2014<br />
|-<br />
|UK ||University of Sheffield ||[http://www.dcs.shef.ac.uk/intranet/teaching/modules/level3/com3110.html Text Processing ] ||Both ||Python ||2014<br />
|-<br />
|UK ||University of Sussex ||[http://www.informatics.sussex.ac.uk/courses/nlp/ Natural Language Processing ] ||Both ||Prolog Java||2006<br />
|-<br />
|UK ||University of Ulster ||[http://www.infj.ulst.ac.uk/nlp/ Natural Language Processing ] ||Undergraduate || ||2003<br />
|-<br />
|USA ||Arizona State University ||[http://www.eas.asu.edu/~cse476 (BROKEN LINK) Introduction to Natural Language Processing ] ||Both ||Java Prolog ||2003<br />
|-<br />
|USA ||Brandeis University ||[http://www.brandeis.edu/gsas/programs/comp_ling.html MA and PhD programs in Computational Linguistics ] ||Both ||Python, Lisp, Java ||2010 <br />
|-<br />
|USA ||Brigham Young University ||[http://faculty.cs.byu.edu/~ringger/CS401R/ Statistical Natural Language Processing ] ||Both ||Java ||2005 <br />
|-<br />
|USA ||Brigham Young University ||[http://faculty.cs.byu.edu/~ringger/CS601R/ Text Mining ] ||Graduate ||Java ||2007<br />
|-<br />
|USA ||Brown University ||[http://cog.brown.edu/~mj/classes/cg136/ Introduction to Computational Linguistics ] ||Both ||Python ||2006<br />
|-<br />
|USA ||Brown University ||[http://www.cs.brown.edu/courses/cs241/ Statistical Natural-Language Processing ] ||Graduate || ||2003<br />
|-<br />
|USA || Carnegie Mellon University || [http://www.cs.cmu.edu/~nasmith/NLP Natural Language Processing] || Undergraduate || various || 2008<br />
|-<br />
|USA ||Carnegie Mellon University ||[http://www.cs.cmu.edu/afs/cs.cmu.edu/project/cmt-55/lti/Courses/711/www/ Algorithms for Natural Language Processing ] ||Graduate || ||2006<br />
|-<br />
|USA ||Carnegie Mellon University ||[http://www.cs.cmu.edu/afs/cs.cmu.edu/project/cmt-55/lti/Courses/721/2006/www/ Grammars and Lexicons ] ||Graduate || LISP ||2006<br />
|-<br />
| USA || Carnegie Mellon University || [http://www.cs.cmu.edu/~roni/11761-s07 Language and Statistics I] || Graduate || || 2007<br />
|-<br />
| USA || Carnegie Mellon University || [http://www.cs.cmu.edu/~nasmith/LS2 Language and Statistics II] || Graduate || || 2007<br />
|-<br />
|USA ||Carleton College ||[http://www.mathcs.carleton.edu/faculty/jondich/cs395/ (BROKEN LINK) Natural Language Processing ] ||Undergraduate ||C++ Perl ||2003<br />
|-<br />
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs172 Computation, Information, and Intelligence ] ||Undergraduate || ||2008<br />
|-<br />
|USA ||Cornell University ||[http://courses.cit.cornell.edu/ling4424 Computational Linguistics ] ||Undergraduate || ||2013<br />
|-<br />
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs4300 Information Retrieval ] ||Undergraduate || ||2013<br />
|-<br />
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs4740 Introduction to Natural Language Processing ] ||Undergraduate || ||2014<br />
|-<br />
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs6740 Advanced Language Technologies ] ||Graduate || ||2012<br />
|-<br />
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs6742 Natural Language Processing and Social Interaction ] ||Graduate || ||2014<br />
|-<br />
|USA ||Cornell University || Speech Synthesis by Rule||Graduate || ||2008<br />
|-<br />
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs775/2001sp/default.html Statistical Natural Language Processing: Models and Methods ] ||Graduate || ||2010<br />
|-<br />
|USA ||CUNY Graduate Center ||[http://bb.gc.cuny.edu/ (BROKEN LINK) Language Technology ] ||Graduate ||Perl ||2003<br />
|-<br />
|USA ||Emory University ||[https://github.com/emory-courses/cs329 Computational Linguistics ] ||Undergraduate ||Python ||2016<br />
|-<br />
|USA ||Emory University ||[https://github.com/emory-courses/cs571 Natural Language Processing ] ||Both ||Java, Python ||2015<br />
|-<br />
|USA || Experfy||(https://www.experfy.com/training/courses/chinese-natural-language-processing-in-practice) <br />
|-<br />
|USA ||Georgetown University ||[http://www9.georgetown.edu/faculty/mad87/06/362/ Introduction to Natural Language Processing ] ||Both ||Perl ||2006<br />
|-<br />
|USA ||Georgetown University ||[http://www.georgetown.edu/faculty/wilsong/Tools/Ling367.html Computational Linguistics: Tools for Linguists ] ||Both || ||2006<br />
|-<br />
|USA ||Georgetown University ||[http://www9.georgetown.edu/faculty/mad87/06/561/ Seminar: Computational Linguisics ] ||Graduate ||Python ||2006<br />
|-<br />
|USA ||Georgetown University ||[http://www9.georgetown.edu/faculty/mad87/06/420/ Statistical NLP] ||Both ||Python ||2006<br />
|-<br />
|USA ||Harvard University ||[http://www.courses.fas.harvard.edu/~cs187/ Introduction to Computational Linguistics ] ||Both ||Prolog ||2006<br />
|-<br />
|USA ||Hunter College CUNY ||[http://bb.hunter.cuny.edu/ Language Technology ] ||Undergraduate ||C++ ||2003<br />
|-<br />
|USA ||Johns Hopkins University ||[http://www.cs.jhu.edu/~jason/465 Natural Language Processing ] ||Both ||student choice ||2006<br />
|-<br />
|USA ||Johns Hopkins University ||[http://www.clsp.jhu.edu/~sanjeev/520.666/ Information Extraction ] ||Graduate || ||2006<br />
|-<br />
|USA ||Johns Hopkins University ||[http://www.cs.jhu.edu/~jason/465 Seminar in Natural Language Processing ] ||Graduate || ||2006<br />
|-<br />
|USA ||Johns Hopkins University ||[http://cs.jhu.edu/~jason/405/ Finite-State Methods in Natural Language Processing ] ||Graduate || ||2003<br />
|-<br />
|USA ||Johns Hopkins University ||[http://cs.jhu.edu/~jason/665/ Statistical Language Learning ] ||Graduate || ||2003<br />
|-<br />
|USA ||Johns Hopkins University ||[http://apl.jhu.edu/~paulmac/ir.html Information Retrieval ] ||Graduate || ||2010<br />
|-<br />
|USA ||The Ohio State University ||[http://www.cse.ohio-state.edu/~fosler/794L/ Foundations of Spoken Language Processing ] ||Both ||MATLAB student choice ||2006<br />
|-<br />
|USA ||The Ohio State University ||[http://www.cse.ohio-state.edu/cgi-bin/syllabus-view.cgi?cgi_state=view;SYLLABUS_ID=598 Computational Linguistics ] ||Both ||Java ||2006<br />
|-<br />
|USA ||The Ohio State University ||[http://ling.ohio-state.edu/courses/course_info/?course_no=684.01 Symbolic Computational Linguistics ] ||Both || Prolog ||2003<br />
|-<br />
|USA ||The Ohio State University ||[http://ling.ohio-state.edu/courses/course_info/?course_no=684.02 Data-Intensive Computational Linguistics ] ||Both || Python ||2003<br />
|-<br />
|USA ||The Ohio State University ||[http://ling.ohio-state.edu/courses/course_info/?course_no=684.03 Computational Semantics ] ||Both || Prolog ||2006<br />
|-<br />
|USA ||Purdue University ||[http://min.ecn.purdue.edu/~ee669/ Natural Language Processing ] ||Graduate ||C C++ Java Lisp Perl Python ||2003<br />
|-<br />
|USA ||Rutgers University ||[http://www.cs.rutgers.edu/~mdstone/class/533 (BROKEN LINK) Natural Language Processing ] ||Both ||Java Perl Prolog ||2003<br />
|-<br />
|USA ||San Diego State University ||Computational Corpus Linguistics ||Both ||Python ||2006<br />
|-<br />
|USA ||San Diego State University ||Introduction to Computational Linguistics ||Both ||Python ||2006<br />
|-<br />
|USA ||Smith College ||Introduction to Computational Linguistics ||Undergraduate ||Lisp ||2003<br />
|-<br />
|USA ||Stanford University ||[http://www.stanford.edu/class/cs224n/ Natural Language Processing ] ||Both ||Java ||2006<br />
|-<br />
|USA ||Stanford University ||[http://www.stanford.edu/class/linguist180/ Introduction to Computer Speech and Language Processing ] ||Undergraduate ||Perl Python Java ||2006<br />
|-<br />
|USA ||Stanford University ||[http://www.stanford.edu/class/linguist288/ Natural Language Understanding ] ||Both || ||2006<br />
|-<br />
|USA ||Stanford University ||[http://www.stanford.edu/~mjkay/ Human and Machine Translation]||Both || ||2006<br />
|-<br />
|USA ||Stanford University ||[http://www.stanford.edu/~mjkay/ Programming and Algorithms for NLP]||Both || ||2006<br />
|-<br />
|USA ||Stanford University || Finite-State Methods in NLP||Both || ||2006<br />
|-<br />
|USA ||Stony Brook University ||[http://www.cs.sunysb.edu/~cse507 (BROKEN LINK) Introduction to Computational Linguistics ] ||Graduate ||Java Perl Prolog ||2003<br />
|-<br />
|USA ||SUNY Buffalo ||[http://www.cse.buffalo.edu/faculty/alphonce/Courses/Fall2006/cse467 Computational Linguistics ] ||Both||Lisp Perl||2006<br />
|-<br />
|USA ||SUNY Buffalo ||[http://www.cse.buffalo.edu/~rapaport/675.html Advanced Topics in Computational Linguistics ] ||Graduate ||Lisp ||2006<br />
|-<br />
|USA ||The University of Chicago ||[http://humanities.uchicago.edu/faculty/goldsmith/StatNLP/index.htm Statistical NLP ] ||Graduate ||Perl ||2003<br />
|-<br />
|USA ||University of California, Berkeley ||[http://www.cs.berkeley.edu/~klein/cs294-5/index.html Statistical NLP ] ||Graduate ||Java ||2005<br />
|-<br />
|USA ||University of California, San Diego ||[http://ling.ucsd.edu/~kehler/ling165.html Computational Linguistics ] ||Undergraduate ||Prolog ||2003<br />
|-<br />
|USA ||University of California, San Diego || Natural Language Processing in LISP ||Graduate ||Lisp ||2003<br />
|-<br />
|USA ||University of Colorado, Boulder || [http://verbs.colorado.edu/~mpalmer/Ling7800/index.html Advanced Computational Linguistics] || Graduate ||||2007<br />
|-<br />
|USA ||University of Colorado, Boulder || [http://www.colorado.edu/catalog/catalog05-06/cgi-bin/search.pl?abbr=ling&num=5200 Computational Corpus Linguistics ] || Graduate || Python || 2009<br />
|-<br />
|USA ||University of Colorado, Boulder || [http://www.colorado.edu/catalog/catalog09-10/search.pl?abbr=CSCI&num=5832&=Search Natural Language Processing ] || Graduate || Python || 2009<br />
|-<br />
|USA ||University of Colorado, Boulder || Natural Language Processing ||Undergraduate ||||2000<br />
|-<br />
|USA ||University of Colorado, Boulder ||[http://www.cs.colorado.edu/courses/csci6302.html Speech Recognition and Synthesis ]||Graduate ||||2002<br />
|-<br />
|USA ||University of Central Florida ||Advanced Artificial Intelligence ||Graduate ||Lisp ||2003<br />
|-<br />
|USA ||University of Central Florida ||Natural Language Understanding || ||Lisp Perl ||2003<br />
|-<br />
|USA ||University of Chicago ||[http://humanities.uchicago.edu/faculty/goldsmith/Industrial/syllabus.htm An Overview of Industrial Linguistics ] ||Graduate ||Perl ||2003<br />
|-<br />
|USA ||University of Georgia ||[http://www.ai.uga.edu/~mc/nlpfaq.html Applied Natural Language Processing ] ||Graduate ||Python ||2003<br />
|-<br />
|USA ||University of Georgia ||[http://www.ai.uga.edu/~mc/nlpfaq.html Natural Language Processing Techniques ] ||Graduate ||Prolog ||2003<br />
|-<br />
|USA ||University of Illinois - Chicago ||[http://www.cs.uic.edu/~bdieugen/teaching.html Natural Language Processing ] ||Both ||C Java Lisp Perl ||2003<br />
|-<br />
|USA ||University of Illinois - Urbana Champaign ||[http://catarina.ai.uiuc.edu/L406_06/ Introduction to Computational Linguisticss ] ||Both ||||2006<br />
|-<br />
|USA ||University of Illinois - Urbana Champaign ||[http://l2r.cs.uiuc.edu/#teaching Machine Learning and Natural Language ] ||Graduate ||||2005<br />
|-<br />
|USA ||University of Illinois - Urbana Champaign ||[http://l2r.cs.uiuc.edu/#teaching Machine Learning] ||Both ||||2005<br />
|-<br />
|USA ||University of Maryland, College Park ||[http://www.clis2.umd.edu/courses/796 (BROKEN LINK) Information Retrieval Systems ] ||Graduate ||C C++ Java ||2003<br />
|-<br />
|USA ||University of Maryland, College Park ||[http://www.umiacs.umd.edu/~resnik/ling723/ Computational Linguistics I ] ||Graduate || Perl ||2006<br />
|-<br />
|USA ||University of Maryland, College Park ||[http://www.umiacs.umd.edu/~resnik/ling647/ Computational Linguistics II ] ||Graduate || Perl ||2006<br />
|-<br />
|USA ||University of Maryland, College Park ||[http://www.umiacs.umd.edu/~resnik/ling848_fa2004/ Seminar in Computational Linguistics ] ||Graduate || ||2004<br />
|-<br />
|USA ||University of Michigan ||[http://www.eecs.umich.edu/~radev/LNI-winter2004 Language and Information ] ||Both || ||2004<br />
|-<br />
|USA ||University of Michigan ||[http://www.eecs.umich.edu/~radev/650w10 Information Retrieval ] ||Both || ||2005<br />
|-<br />
|USA ||University of Michigan ||[http://www.eecs.umich.edu/~radev/NLP-winter2013 Natural Language Processing ] ||Both || ||2005<br />
|-<br />
|USA ||University of Michigan ||[http://www.eecs.umich.edu/~radev/767w10 Advanced NLP/IR ] ||Graduate || ||2006<br />
|-<br />
|USA ||University of Minnesota, Duluth ||[http://www.d.umn.edu/~tpederse/teaching.html Introduction to Natural Language Processing ] ||Undergraduate ||Perl ||2003<br />
|-<br />
|USA ||University of Minnesota, Duluth ||[http://www.d.umn.edu/~tpederse/teaching.html Natural Language Processing ] ||Graduate ||Perl ||2003<br />
|-<br />
|USA ||University of North Texas ||[http://www.cs.unt.edu/~rada/CSCE5290 Natural Language Processing ] ||Graduate ||Perl ||2006<br />
|-<br />
|USA ||University of Pennsylvania ||[http://www.cis.upenn.edu/~cis520 Introduction to Artificial Intelligence ] ||Graduate || ||2003<br />
|-<br />
|USA ||University of Pennsylvania ||[http://www.cis.upenn.edu/~cis630 Advanced Topics in Natural Language Processing ] ||Graduate ||C++ Java Perl Python ||2003<br />
|-<br />
|USA ||University of Pennsylvania ||[http://www.cis.upenn.edu/~cse391 Introduction to Artificial Intelligence ] ||Undergraduate ||Prolog ||2003<br />
|-<br />
|USA ||University of Pittsburgh ||[http://www.cs.pitt.edu/~litman/courses/CS3730/cs3730.html Natural Language Processing ] ||Graduate || ||2003<br />
|-<br />
|USA ||University of Rochester ||[http://www.cs.rochester.edu/~schubert/247-447/ Natural Language Processing ] ||Both ||Lisp ||2006<br />
|-<br />
|USA ||University of Rochester ||[http://www.cs.rochester.edu/~gildea/2006_Fall/ Language, Parsing, and Complexity ] ||Both || ||2006<br />
|-<br />
|USA ||University of Rochester ||[http://www.cs.rochester.edu/~gildea/2005_Fall/ Speech Recognition and Statistical Natural Language Processing ] ||Both || ||2005<br />
|-<br />
|USA ||University of Rochester ||[http://www.cs.rochester.edu/~gildea/2004_Spring/ Seminar in AI: Statistical Machine Translation ] ||Graduate || ||2004<br />
|-<br />
|USA ||University of Southern California ||[http://www.isi.edu/~marcu/544/ Introduction to Natural Language Processing ] ||Graduate || ||2003<br />
|-<br />
|USA ||University of Southern California ||[http://www.isi.edu/~marcu/544/ Natural Language Processing ] ||Graduate ||C++ Java Lisp Perl ||2003<br />
|-<br />
|USA ||University of Southern California ||[http://www.isi.edu/natural-language/people/cs562-f2006-syll.htm Empirical Methods in Natural Language Processing ] ||Graduate || ||2006<br />
|-<br />
|USA ||University of St. Thomas, Saint Paul MN ||Information Retrieval ||Graduate ||C Java Perl Python ||2003<br />
|-<br />
|USA ||University of Texas at Austin ||[http://comp.ling.utexas.edu/jbaldrid/icl Introduction to Computational Linguistics ] ||Undergraduate||Python||2006<br />
|-<br />
|USA ||University of Texas at Austin ||Natural Language Processing||Undergraduate||Python, Java||[http://comp.ling.utexas.edu/courses/2008/fall/natural_language_processing 2008]<br />
|-<br />
|USA ||University of Texas at Austin ||Natural Language Processing||Graduate||Java||[http://www.cs.utexas.edu/~mooney/cs388/ 2008]<br />
|-<br />
|USA ||University of Texas at Austin ||Computational Linguistics I ||Graduate||Python||[http://www.utexas.edu/courses/jbaldrid/2006/compling1 2006], [http://comp.ling.utexas.edu/courses/2007/cl1/ 2007], [http://comp.ling.utexas.edu/courses/2008/cl1_08/ 2008]<br />
|-<br />
|USA ||University of Texas at Austin ||Computational Linguistics II ||Graduate||Python Java||[http://comp.ling.utexas.edu/jbaldrid/cl2 2006], [http://comp.ling.utexas.edu/courses/2007/cl2_07/ 2007]<br />
|-<br />
|USA ||University of Texas at Austin<br />
||Intro to working with corpora and programming || Both||Python||[http://comp.ling.utexas.edu/erk/corpora06.html 2006] [http://comp.ling.utexas.edu/courses/2007/corpora07/ 2007]<br />
|-<br />
|USA ||University of Texas at El Paso ||[http://www.cs.utep.edu/nigel/nlp/ Statistical Approaches to Natural Language Processing ] ||Both ||Perl ||2006<br />
|-<br />
|USA ||University of Utah ||[http://www.cs.utah.edu/classes/cs5340 Natural Language Processing ] ||Both ||C C++ Java Lisp Perl ||2003<br />
|-<br />
|USA ||University of Washington||[http://courses.washington.edu/ling472 Introduction to Computational Linguistics] ||Undergraduate ||Perl ||2006<br />
|-<br />
|USA ||University of Washington||[http://courses.washington.edu/ling570/ Shallow Methods in Natural Language Processing]||Graduate ||Python Java C++ Perl||2007<br />
|-<br />
|USA ||University of Washington||[http://courses.washington.edu/ling571/ Deep Processing Techniques for Natural Language Processing] ||Graduate ||Python Java C++ Perl||2007<br />
|-<br />
|USA ||University of Washington||[http://courses.washington.edu/ling572/ Advanced Statistical Methods for Natural Language Processing] ||Graduate ||Python Java C++ Perl||2008<br />
|-<br />
|USA ||University of Washington||[http://courses.washington.edu/ling573/ Systems/Applications] ||Graduate ||Python Java C++ Perl||2008<br />
|-<br />
|USA ||University of Washington||[http://courses.washington.edu/ling567 Knowledge Engineering for NLP] ||Graduate ||tdl ||2006<br />
|-<br />
|USA ||University of Wisconsin-Madison ||Intensive Computational Linguistics ||Both ||C++ Java ||2003<br />
|- <br />
|USA ||University of Wisconsin-Madison ||[http://www.cs.wisc.edu/~jerryzhu/cs769.html Advanced Natural Language Processing ] ||Graduate||student choice||2008<br />
|- |]<br />
<br />
<br />
<br />
[[Category:Education]]<br />
[[Category:Natural language processing]]</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=Teaching&diff=11953Teaching2017-08-12T15:47:00Z<p>Pdturney: </p>
<hr />
<div><!-- Please keep this list in alphabetical order --><br />
* '''Main resource:''' <br />
** [[List of NLP/CL courses]] around the world<br />
<br />
* '''Secondary resources:'''<br />
<!-- Please keep this list in alphabetical order --><br />
** [http://www.dmoz.org/Science/Social_Sciences/Linguistics/Computational_Linguistics/Education/ Computational Linguistics: Education] category of the Open Directory Project (dmoz)<br />
** [[Core body of knowledge]]<br />
** [[Courses]] -- needs to be folded into [[List of NLP/CL courses]]<br />
** [http://linguistlist.org/teach/index.html LINGUIST List Teaching & Learning Area]<br />
** [[Masters programs]] -- needs to be folded into [[List of NLP/CL courses]]<br />
** [[Recommended textbooks]]<br />
** [[Suggested student projects]]<br />
<!-- Please keep this list in alphabetical order --><br />
<br />
[[Category:Education]]</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=Masters_programs&diff=11952Masters programs2017-08-12T15:39:48Z<p>Pdturney: </p>
<hr />
<div>* See [[List of NLP/CL courses]]<br />
* Is this page redundant?<br />
<br />
= Masters programs in computational linguistics/natural language processing = <br />
<br />
== North America ==<br />
<br />
=== USA ===<br />
<br />
*Georgetown University [https://linguistics.georgetown.edu/graduate/master-degree-programs/master-of-sciences MS in Computational Linguistics]<br />
* University of Colorado [http://www.colorado.edu/linguistics/current-students/graduates/computational-linguistics-clasic-ms MS in Computational Linguistics, Analytics, Search and Informatics (CLASIC)]<br />
* University of Washington [http://www.compling.uw.edu Computational Linguistics Master of Science (CLMS)]</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=Annual_reports_on_the_ACL_wiki&diff=11911Annual reports on the ACL wiki2017-07-16T17:04:27Z<p>Pdturney: </p>
<hr />
<div>* [http://aclweb.org/adminwiki/index.php?title=2017Q3_Reports:_ACL_Wiki ACL Wiki Annual Report 2017]<br />
* [http://aclweb.org/adminwiki/index.php?title=2016Q3_Reports:_ACL_Wiki ACL Wiki Annual Report 2016]<br />
* [http://aclweb.org/adminwiki/index.php?title=2015Q3_Reports:_ACL_Wiki ACL Wiki Annual Report 2015]<br />
* [http://aclweb.org/adminwiki/index.php?title=2014Q3_Reports:_ACL_Wiki ACL Wiki Annual Report 2014]<br />
* [http://aclweb.org/adminwiki/index.php?title=2013Q3_Reports:_ACL_Wiki ACL Wiki Annual Report 2013]<br />
* [http://aclweb.org/adminwiki/index.php?title=2012Q3_Reports:_ACL_Wiki ACL Wiki Annual Report 2012]<br />
* [http://aclweb.org/adminwiki/index.php?title=2011Q3_Reports:_ACL_Wiki ACL Wiki Annual Report 2011]<br />
* [http://aclweb.org/adminwiki/index.php?title=2010Q3_Reports:_ACL_Wiki ACL Wiki Annual Report 2010]<br />
* [http://aclweb.org/adminwiki/index.php?title=2009Q3_Reports:_ACL_Wiki ACL Wiki Annual Report 2009]<br />
* [http://aclweb.org/adminwiki/index.php?title=2008Q3_Reports:_Wiki ACL Wiki Annual Report 2008]<br />
* [http://www.aclweb.org/archive/reports/acl2007-reports/ACL_Wiki_2007.txt ACL Wiki Annual Report 2007]</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=User_talk:Queirozfcom&diff=11910User talk:Queirozfcom2017-07-16T17:02:45Z<p>Pdturney: Welcome!</p>
<hr />
<div>'''Welcome to ''ACL Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents help pages].<br />
Again, welcome and have fun! [[User:Pdturney|Pdturney]] ([[User talk:Pdturney|talk]]) 11:02, 16 July 2017 (MDT)</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=User:Queirozfcom&diff=11909User:Queirozfcom2017-07-16T17:02:45Z<p>Pdturney: Creating user page for new user.</p>
<hr />
<div>I'm a researcher in NLP. I generally focus on hierarchical learning, embedding compositionality and multi-label text classification. I'm a master's student at the Rio de Janeiro Federal University, in the Unstructured Data Analysis Laboratory. My university e-mail is falmeida@cos.ufrj.br. I'm mainly interested in joining this wiki to update the state-of-the-art pages with recent results on NLP tasks such as sentiment analysis, NER, etc. Thank you.</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=Main_Page&diff=11907Main Page2017-07-14T16:50:41Z<p>Pdturney: </p>
<hr />
<div><div id="mainpage"></div><br />
__NOTOC__<br />
<!-- Beginning of header section --><br />
{|style="width:800px;margin-top:+.9em;background-color:#fcfcfc;border:1px solid #ccc"<br />
|style="width:56%;color:#000"|<br />
{|style="width:100%;border:solid 0px;background:none"<br />
|-<br />
|style="width:100%;text-align:center;color:#000" |<br />
<div style="font-size:162%;border:none;margin: 0;padding:.1em;color:#000">Welcome to the Wiki of the [http://www.aclweb.org/ Association for Computational Linguistics]</div><br />
<div style="top:+0.2em;font-size: 95%">''to facilitate the sharing of information on all aspects of Computational Linguistics''</div><br />
<div id="articlecount" style="width:100%;text-align:center;font-size:85%;">'''{{NUMBEROFVIEWS}}''' visits to '''{{NUMBEROFPAGES}}''' pages in the ACL Wiki as of {{CURRENTDAYNAME}}, {{CURRENTMONTHNAME}} {{CURRENTDAY}}, {{CURRENTYEAR}}</div><br />
<div style="width:100%;text-align:center;font-size:85%;">started on October 18th, 2006</div><br />
|}<br />
|}<br />
<!-- End of header section / beginning of left-column --><br />
{|style="border-spacing:8px;margin:0px -8px"<br />
|class="MainPageBG" style="width:442px;border:1px solid #cef2e0;background-color:#f5fffa;vertical-align:top;color:#000"|<br />
{|width="100%" cellpadding="2" cellspacing="5" style="vertical-align:top;background-color:#f5fffa"<br />
! <br />
<br />
<h2 style="margin:0;background-color:#cef2e0;font-size:120%;font-weight:bold;border:1px solid #a3bfb1;text-align:left;color:#000;padding:0.2em 0.4em;">Topics in the ACL Wiki</h2><br />
|-<br />
|style="color:#000"|<!-- Please keep this list in alphabetical order --><br />
* [[ACL Data and Code Repository|ACL data and code repository]] - for NLP and CL data and source code<br />
* [[Acronyms]] - the ABCs of CL and NLP<br />
* [[NLP Awards|Award recipients]] - listing of NLP Award recipients<br />
* [[Blogs]] - CL, NLP, linguistics, language<br />
* [[Conferences and workshops]] - where to go and when<br />
* [[Competitions and Challenges|Competitions and challenges]] - mettle testing<br />
* [[Current events]] - news, announcements<br />
* [[Employment opportunities, postdoctoral positions, summer jobs]]<br />
* [[Frequently asked questions about Computational Linguistics|FAQ about Computational Linguistics]]<br />
* [[Games with a Purpose|Games with a purpose]]<br />
* [[Grants, fellowships, scholarships]]<br />
* [[Journals]] - where to submit your papers<br />
* [[Newsgroups, mailing lists]]<br />
* [[Organizations, departments, institutions, groups, companies|Organizations, departments, institutions, groups, companies, associations]]<br />
* [[Other comprehensive sites]] - for NLP and CL<br />
* [[People]] - home pages of researchers<br />
* [[Research]] - tutorials, wiki articles, books, papers, bibliographies<br />
* [[List of resources by language|Resources by language]] - corpora, datasets, tools, software, lexicons<br />
* [[Resources by paper]] - linking papers to their resources<br />
* [[Special interest groups]] <br />
* [[State of the art]] - state of the art for core NLP tasks <br />
* [[Suggestions]] - the ACL's suggestion box <br />
* [[Teaching]] - course descriptions and resources<br />
<br />
|-<br />
|}<!-- Start of right-column --><br />
|class="MainPageBG" style="width:342px;border:1px solid #cedff2;background-color:#f5faff;vertical-align:top"|<br />
{| width="100%" cellpadding="2" cellspacing="5" style="vertical-align:top;background-color:#f5faff"<br />
!<br />
<br />
<h2 style="margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:left;color:#000;padding:0.2em 0.4em;">Using the ACL Wiki</h2><br />
|-<br />
|style="color:#000"|<!-- Please keep this list in alphabetical order --><br />
* [[Annual reports on the ACL wiki]]<br />
* [[Mandate of the ACL wiki]]<br />
* [[Policies of the ACL wiki]]<br />
* [[To Do List]] - ''please help''<br />
|-<br />
!<br />
<br />
<h2 style="margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:left;color:#000;padding:0.2em 0.4em;">Community Portals</h2><br />
|-<br />
|style="color:#000"|<!-- Please keep this list in alphabetical order --><br />
* [[Natural Language Generation Portal]]<br />
* [[SemEval Portal]]<br />
* [[Textual Entailment Portal]]<br />
|-<br />
!<br />
<br />
<h2 style="margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:left;color:#000;padding:0.2em 0.4em;">What's happening on the ACL Wiki</h2><br />
|-<br />
|style="color:#000"|<!-- Please keep this list in alphabetical order --><br />
* [[Special:MostRevisions|Pages with the most revisions]]<br />
* [[Special:RecentChanges|Recent changes]] - [http://aclweb.org/aclwiki/index.php?title=Special:Recentchanges&feed=rss RSS feed]<br />
* [[Special:Statistics|Wiki statistics]]<br />
|-<br />
!<br />
<br />
<h2 style="margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:left;color:#000;padding:0.2em 0.4em;">Related sites</h2><br />
|-<br />
|style="color:#000"|<!-- Please keep this list in alphabetical order --><br />
<br />
* [http://aclweb.org/adminwiki/index.php?title=Main_Page ACL Administrative Wiki] - conference handbook, reports<br />
* [http://www.aclweb.org/anthology/ ACL Anthology] - almost 20,000 online papers<br />
* [http://www.aclweb.org/ ACL Home Page] - the central ACL website<br />
* [http://aclweb.org/portal/ ACL Member Portal] - membership, event alerts<br />
* [http://www.aclweb.org/website/node/434 ACL Mirror of Past Conferences] - blasts from the past<br />
* [http://aclweb.org/nmlwiki/index.php?title=Main_Page National Museum of Language] - [https://en.wikipedia.org/wiki/National_Museum_of_Language about NML]<br />
|-<br />
|}</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=User_talk:Fnielsen&diff=11903User talk:Fnielsen2017-07-07T12:11:47Z<p>Pdturney: Welcome!</p>
<hr />
<div>'''Welcome to ''ACL Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents help pages].<br />
Again, welcome and have fun! [[User:Pdturney|Pdturney]] ([[User talk:Pdturney|talk]]) 06:11, 7 July 2017 (MDT)</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=User:Fnielsen&diff=11902User:Fnielsen2017-07-07T12:11:47Z<p>Pdturney: Creating user page for new user.</p>
<hr />
<div>Associate Professor at Technical University of Denmark interest in natural language processing, machine learning, Wikipedia, Wikidata and other social collaborative platforms.<br />
My homepage is http://people.compute.dtu.dk/faan/<br />
<br />
I am currently working on Wikidata as a knowledge graph and ressource and have implement the Scholia web service that present information from Wikidata. It is running from https://tools.wmflabs.org/scholia/</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=User_talk:Dimitra&diff=11901User talk:Dimitra2017-07-07T12:10:13Z<p>Pdturney: Welcome!</p>
<hr />
<div>'''Welcome to ''ACL Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents help pages].<br />
Again, welcome and have fun! [[User:Pdturney|Pdturney]] ([[User talk:Pdturney|talk]]) 06:10, 7 July 2017 (MDT)</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=User:Dimitra&diff=11900User:Dimitra2017-07-07T12:10:13Z<p>Pdturney: Creating user page for new user.</p>
<hr />
<div>Dr Dimita Gkatzia is a lecture at the School of Computing at Edinburgh Napier University. Her research focuses on machine learning techniques for Natural Language Generation, i.e. teaching machines how to communicate and describe large volumes of complex data using human language. Dimitra has applied these approaches in various tasks: (1) summarisation of time-series data from sensors in the medical domain, (2) for communicating uncertainty of weather forecasts, (3) for assisting decision making under uncertainty, (4) for computed-assisted education. Dimitra has held two research visitor appointments in Finland and Germany and is currently elected member of ACL SIGGEN board.</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=Main_Page&diff=11899Main Page2017-07-03T02:59:28Z<p>Pdturney: </p>
<hr />
<div><div id="mainpage"></div><br />
__NOTOC__<br />
<!-- Beginning of header section --><br />
{|style="width:800px;margin-top:+.9em;background-color:#fcfcfc;border:1px solid #ccc"<br />
|style="width:56%;color:#000"|<br />
{|style="width:100%;border:solid 0px;background:none"<br />
|-<br />
|style="width:100%;text-align:center;color:#000" |<br />
<div style="font-size:162%;border:none;margin: 0;padding:.1em;color:#000">Welcome to the Wiki of the [http://www.aclweb.org/ Association for Computational Linguistics]</div><br />
<div style="top:+0.2em;font-size: 95%">''to facilitate the sharing of information on all aspects of Computational Linguistics''</div><br />
<div id="articlecount" style="width:100%;text-align:center;font-size:85%;">'''{{NUMBEROFVIEWS}}''' visits to '''{{NUMBEROFPAGES}}''' pages in the ACL Wiki as of {{CURRENTDAYNAME}}, {{CURRENTMONTHNAME}} {{CURRENTDAY}}, {{CURRENTYEAR}}</div><br />
<div style="width:100%;text-align:center;font-size:85%;">started on October 18th, 2006</div><br />
|}<br />
|}<br />
<!-- End of header section / beginning of left-column --><br />
{|style="border-spacing:8px;margin:0px -8px"<br />
|class="MainPageBG" style="width:442px;border:1px solid #cef2e0;background-color:#f5fffa;vertical-align:top;color:#000"|<br />
{|width="100%" cellpadding="2" cellspacing="5" style="vertical-align:top;background-color:#f5fffa"<br />
! <br />
<br />
<h2 style="margin:0;background-color:#cef2e0;font-size:120%;font-weight:bold;border:1px solid #a3bfb1;text-align:left;color:#000;padding:0.2em 0.4em;">Topics in the ACL Wiki</h2><br />
|-<br />
|style="color:#000"|<!-- Please keep this list in alphabetical order --><br />
* [[ACL Data and Code Repository|ACL data and code repository]] - for NLP and CL data and source code<br />
* [[Acronyms]] - the ABCs of CL and NLP<br />
* [[NLP Awards|Award recipients]] - listing of NLP Award recipients<br />
* [[Blogs]] - CL, NLP, linguistics, language<br />
* [[Conferences and workshops]] - where to go and when<br />
* [[Competitions and Challenges|Competitions and challenges]] - mettle testing<br />
* [[Current events]] - news, announcements<br />
* [[Employment opportunities, postdoctoral positions, summer jobs]]<br />
* [[Frequently asked questions about Computational Linguistics|FAQ about Computational Linguistics]]<br />
* [[Games with a Purpose|Games with a purpose]]<br />
* [[Grants, fellowships, scholarships]]<br />
* [[Journals]] - where to submit your papers<br />
* [[Newsgroups, mailing lists]]<br />
* [[Organizations, departments, institutions, groups, companies|Organizations, departments, institutions, groups, companies, associations]]<br />
* [[Other comprehensive sites]] - for NLP and CL<br />
* [[People]] - home pages of researchers<br />
* [[Research]] - tutorials, wiki articles, books, papers, bibliographies<br />
* [[List of resources by language|Resources by language]] - corpora, datasets, tools, software, lexicons<br />
* [[Resources by paper]] - linking papers to their resources<br />
* [[Special interest groups]] <br />
* [[State of the art]] - state of the art for core NLP tasks <br />
* [[Suggestions]] - the ACL's suggestion box <br />
* [[Teaching]] - course descriptions and resources<br />
<br />
|-<br />
|}<!-- Start of right-column --><br />
|class="MainPageBG" style="width:342px;border:1px solid #cedff2;background-color:#f5faff;vertical-align:top"|<br />
{| width="100%" cellpadding="2" cellspacing="5" style="vertical-align:top;background-color:#f5faff"<br />
!<br />
<br />
<h2 style="margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:left;color:#000;padding:0.2em 0.4em;">Using the ACL Wiki</h2><br />
|-<br />
|style="color:#000"|<!-- Please keep this list in alphabetical order --><br />
* [[Annual reports on the ACL wiki]]<br />
* [[Mandate of the ACL wiki]]<br />
* [[Policies of the ACL wiki]]<br />
* [[To Do List]] - ''please help''<br />
|-<br />
!<br />
<br />
<h2 style="margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:left;color:#000;padding:0.2em 0.4em;">Community Portals</h2><br />
|-<br />
|style="color:#000"|<!-- Please keep this list in alphabetical order --><br />
* [[Natural Language Generation Portal]]<br />
* [[SemEval Portal]]<br />
* [[Textual Entailment Portal]]<br />
|-<br />
!<br />
<br />
<h2 style="margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:left;color:#000;padding:0.2em 0.4em;">What's happening on the ACL Wiki</h2><br />
|-<br />
|style="color:#000"|<!-- Please keep this list in alphabetical order --><br />
* [[Special:MostRevisions|Pages with the most revisions]]<br />
* [[Special:RecentChanges|Recent changes]] - [http://aclweb.org/aclwiki/index.php?title=Special:Recentchanges&feed=rss RSS feed]<br />
* [[Special:Statistics|Wiki statistics]]<br />
|-<br />
!<br />
<br />
<h2 style="margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:left;color:#000;padding:0.2em 0.4em;">Related sites</h2><br />
|-<br />
|style="color:#000"|<!-- Please keep this list in alphabetical order --><br />
<br />
* [http://aclweb.org/adminwiki/index.php?title=Main_Page ACL Administrative Wiki] - conference handbook, reports<br />
* [http://www.aclweb.org/anthology/ ACL Anthology] - almost 20,000 online papers<br />
* [http://www.aclweb.org/ ACL Home Page] - the central ACL website<br />
* [http://aclweb.org/portal/ ACL Member Portal] - membership, event alerts<br />
* [http://www.aclweb.org/website/node/434 ACL Mirror of Past Conferences] - blasts from the past<br />
|-<br />
|}</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=User_talk:Eiddy&diff=11898User talk:Eiddy2017-07-03T02:57:09Z<p>Pdturney: Welcome!</p>
<hr />
<div>'''Welcome to ''ACL Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents help pages].<br />
Again, welcome and have fun! [[User:Pdturney|Pdturney]] ([[User talk:Pdturney|talk]]) 20:57, 2 July 2017 (MDT)</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=User:Eiddy&diff=11897User:Eiddy2017-07-03T02:57:09Z<p>Pdturney: Creating user page for new user.</p>
<hr />
<div>My research interests centre on applying deep learning, reinforcement learning and Bayesian approaches to dialogue management, reward estimation and NLP tasks,<br />
with the aim of building systems that can learn directly from human interaction. <br />
I published my first ACL paper as the first author in 2016 and was awarded the best student paper award.</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=User_talk:Sarah.tabassum&diff=11896User talk:Sarah.tabassum2017-07-03T02:55:46Z<p>Pdturney: Welcome!</p>
<hr />
<div>'''Welcome to ''ACL Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents help pages].<br />
Again, welcome and have fun! [[User:Pdturney|Pdturney]] ([[User talk:Pdturney|talk]]) 20:55, 2 July 2017 (MDT)</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=User:Sarah.tabassum&diff=11895User:Sarah.tabassum2017-07-03T02:55:46Z<p>Pdturney: Creating user page for new user.</p>
<hr />
<div>I am Sarah from Dhaka, Bangladesh. I am an under graduate student on computer science and engineering at Ahsanullah university of science and technology. Interested in data mining, deep learning, neural networks and machine learning. Want to research on data science. My hobbies are painting and reading. Besides, I love to know about ancient time, medieval ages. Astronomy attracts me too.</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=User_talk:Rlevy&diff=11882User talk:Rlevy2017-06-01T14:22:17Z<p>Pdturney: Welcome!</p>
<hr />
<div>'''Welcome to ''ACL Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents help pages].<br />
Again, welcome and have fun! [[User:Pdturney|Pdturney]] ([[User talk:Pdturney|talk]]) 08:22, 1 June 2017 (MDT)</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=User:Rlevy&diff=11881User:Rlevy2017-06-01T14:22:16Z<p>Pdturney: Creating user page for new user.</p>
<hr />
<div>I am Associate Professor in the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology. My research focuses on theoretical and applied questions in the processing and acquisition of natural language. Linguistic communication involves the resolution of uncertainty over a potentially unbounded set of possible signals and meanings. How can a fixed set of knowledge and resources be deployed to manage this uncertainty? And how is this knowledge acquired? To address these questions I combine computational modeling, psycholinguistic experimentation, and analysis of large naturalistic language datasets. This work furthers our understanding of the cognitive underpinning of language processing and acquisition, and helps us design models and algorithms that will allow machines to process human language.</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=User_talk:Erickrf&diff=11871User talk:Erickrf2017-05-28T20:09:14Z<p>Pdturney: Welcome!</p>
<hr />
<div>'''Welcome to ''ACL Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents help pages].<br />
Again, welcome and have fun! [[User:Pdturney|Pdturney]] ([[User talk:Pdturney|talk]]) 14:09, 28 May 2017 (MDT)</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=User:Erickrf&diff=11870User:Erickrf2017-05-28T20:09:14Z<p>Pdturney: Creating user page for new user.</p>
<hr />
<div>I am currently a Ph.D. student from University of São Paulo, Brazil, with my master's degree from the same university. I was for one year in Fondazione Bruno Kessler, in Italy. I work with natural language processing, machine learning, deep learning. My current research theme is Natural Language Inferece / Recognizing Textual Entailment.<br />
<br />
You can find my projects at http://github.com/erickrf/</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=User_talk:Promila&diff=11863User talk:Promila2017-05-10T23:11:58Z<p>Pdturney: Welcome!</p>
<hr />
<div>'''Welcome to ''ACL Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents help pages].<br />
Again, welcome and have fun! [[User:Pdturney|Pdturney]] ([[User talk:Pdturney|talk]]) 17:11, 10 May 2017 (MDT)</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=User:Promila&diff=11862User:Promila2017-05-10T23:11:58Z<p>Pdturney: Creating user page for new user.</p>
<hr />
<div>Dr.Promila Bahadur is currently working as Professor, Department of Computer Science at MUM, USA. She possesses about fifteen years’ experience in academics and industry in India and America. Her areas of specializations are Artificial Intelligence, Machine Translation and Natural Language Processing and has contributed several research papers in these areas. She has developed a software EtranS for English to Sanskrit translation.This software is responsible for translating sentences from English to Sanskrit.</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=User_talk:Cesarb&diff=11861User talk:Cesarb2017-05-10T18:59:06Z<p>Pdturney: Welcome!</p>
<hr />
<div>'''Welcome to ''ACL Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents help pages].<br />
Again, welcome and have fun! [[User:Pdturney|Pdturney]] ([[User talk:Pdturney|talk]]) 12:59, 10 May 2017 (MDT)</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=User:Cesarb&diff=11860User:Cesarb2017-05-10T18:59:06Z<p>Pdturney: Creating user page for new user.</p>
<hr />
<div>After spending years working as a programmer, I quit my job and have started to invest my time in academic research. My current activity is to conduct experiments parsing the CoNLL2017 treebanks to Universal Dependencies.<br />
Current CS Master student at PUC-Rio - Pontifícia Universidade Católica do Rio de Janeiro.<br />
Past CS graduate student at UFF - Universidade Federal Fluminense. <br />
Future PhD student :)</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=Employment_opportunities_posted_2016&diff=11857Employment opportunities posted 20162017-05-02T17:42:23Z<p>Pdturney: </p>
<hr />
<div>* This is an archive of employment opportunities that were posted in 2016.<br />
<br />
<br />
== Research Scientist Intern at Adobe Research, San Jose, California ==<br />
*Employer: Adobe Systems Incorporated<br />
*Title: Research Scientist Intern <br />
*Speciality: NLP, machine learning and dialog.<br />
*Location: San Jose, CA, USA<br />
*Deadline: March 1, 2017<br />
*Date posted: January 23, 2017<br />
*Contact: bui@adobe.com<br />
<br />
We are looking for PhD students with background in NLP, machine learning, dialog to work on 2 following projects:<br />
1) Deep reinforcement learning for creative assistant<br />
2) Reading order text extraction for PDF documents<br />
<br />
== Assistant/Associate Professor Position in NLP/IR/Text/ML at University of California - Davis ==<br />
*Employer: University of California - Davis<br />
*Title: Assistant/Associate Professor <br />
*Speciality: All areas of NLP/Text/IR/ML etc including those involved in multi-media analysis.<br />
*Location: Davis, CA, USA<br />
*Deadline: January 2, 2017<br />
*Date posted: December 27, 2016<br />
*Contact: davidson@cs.ucdavis.edu<br />
<br />
The Department of Computer Science at the University of California at Davis invites applications for a faculty position at the rank of Assistant or Associate Professor in Computer Science, for appointments with a start date in Spring 2017, or later. We are targeting excellent candidates in all areas of machine learning and computational linguistics, with a special emphasis on all aspects of natural language processing, information retrieval, text analytics and text mining. The campus is especially interested in candidates who can contribute to the diversity and excellence of the academic community through their research, teaching, and service.<br />
<br />
Applications received by 2nd January 2017 will receive full consideration. For further information see http://www.cs.ucdavis.edu/blog/faculty-employment-positions-2/<br />
<br />
<br />
<br />
<br />
<br />
==Postdoctoral Fellow in Natural Language Processing / Machine Learning at Brigham and Women's Hospital / Harvard Medical School==<br />
* Employer: Brigham and Women's Hospital / Harvard Medical School<br />
* Title: Postdoctoral Research Fellow<br />
* Topics: Natural Language Processing, Machine Learning, Predictive Modeling<br />
* Location: Boston, MA<br />
* Deadline: Open until filled<br />
* Date Posted: December 23, 2016<br />
* Contact: Alexander Turchin (aturchin@bwh.harvard.edu)<br />
<br />
'''Research focus''': the Fellow will work in a multi-disciplinary team of artificial intelligence scientists, informaticians, biostatisticians, and clinicians led by Dr. Leonid Perlovsky (http://www.leonid-perlovsky.com/) and Dr. Alexander Turchin (https://connects.catalyst.harvard.edu/Profiles/display/Person/14588) on projects involving development of high-dimensional predictive models in medicine. The models will be based on data from a large integrated healthcare system and will utilize a combination of artificial intelligence and natural language processing of multiple narrative document streams.<br />
<br />
'''Supervisor''': Alexander Turchin, MD, MS, FACMI; Leonid Perlovsky, PhD<br />
<br />
'''Required skills''': strong mathematical background in statistics and machine learning; experience working with large datasets; experience with natural language processing; ability to design and conduct effective research studies; strong analytical, scientific writing, presentation and communication skills; strong programming and system development skills. Experience with predictive modeling, medical terminologies / ontologies, python, MATLAB and Apache Spark is a strong plus.<br />
<br />
'''Education''': PhD in computer science, biomedical informatics, or related discipline or an equivalent degree.<br />
<br />
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.<br />
<br />
'''Available''': Immediately.<br />
<br />
'''Compensation''': according to NIH (NRSA) stipend levels (https://grants.nih.gov/grants/guide/notice-files/NOT-OD-16-131.html).<br />
<br />
'''To apply''': send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.<br />
<br />
<br />
== PhD Scholarship / Enhancing Scientific Text Summarization / Barcelona ==<br />
*Title: PhD Scholarship / Enhancing Scientific Text Summarization with Academic Social Networks<br />
*Location: Barcelona, Spain<br />
*Deadline: February 2nd, 2017<br />
*Date posted: December 12, 2016<br />
*Contact: horacio.saggion@upf.edu<br />
<br />
In the context of the Marie-Curie PhD InPhiNIT La Caixa program associated to the Maria de Maeztu Strategic Research Program, we are looking for a highly motivated PhD candidate in the area of Natural Language Processing to work in a project dealing with Scientific Text Summarization and Academic Social Networks. <br />
<br />
The PhD will be carried out at the TALN research group of the Department of Information and Communication Technologies (DTIC), Universitat Pompeu Fabra (UPF) in Barcelona.<br />
<br />
The PhD student should have background in Natural Language Processing with a solid knowledge of statistics, mathematics, computer programming and machine learning. Experience in Information Extraction, Text Summarization, or related areas would be appreciated.<br />
<br />
Brief description of the project:<br />
<br />
http://www.dtic.upf.edu/~hsaggion/scientific_summarization_social.html<br />
<br />
How and where to apply (InPhiNIT program):<br />
<br />
https://obrasociallacaixa.org/en/educacion-becas/becas-de-posgrado/inphinit/programme-description<br />
<br />
<br />
<br />
The TALN research group:<br />
<br />
http://taln.upf.edu/<br />
<br />
Maria de Maeztu Strategic Research at DTIC:<br />
<br />
https://www.upf.edu/web/mdm-dtic/description<br />
<br />
http://ec.europa.eu/research/mariecurieactions/<br />
<br />
Other:<br />
<br />
You can contact Prof. Horacio Saggion for more information about the project.<br />
<br />
Related information:<br />
<br />
https://www.upf.edu/web/mdm-dtic/projects/-/asset_publisher/Ef1was9TxNY4/content/id/4113025#.WE6ZIH23nm4<br />
<br />
http://taln.upf.edu/pages/coling2016tutorial/<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
== Lecturer/Senior Lecturer openings in Artificial Intelligence and Machine Learning at Imperial College London, UK ==<br />
*Employer: Department of Computing, Imperial College London<br />
*Title: Lecturer/Senior Lecturer openings in Artificial Intelligence and Machine Learning<br />
*Speciality: Artificial Intelligence and Machine Learning, including (but is not limited to): machine learning for text and speech.<br />
*Location: London, UK<br />
*Deadline: January 16, 2017<br />
*Date posted: December 8, 2016<br />
*Contact: margaret.hall@imperial.ac.uk<br />
<br />
The Department of Computing at Imperial College London invites applications for full-time faculty members at the Lecturer/Senior Lecturer level (comparable to American tenure-track Assistant Professorships) who can contribute to research and teaching, in particular in the area of Artificial Intelligence and Machine Learning. This includes (but is not limited to): autonomous systems; knowledge representation and reasoning; planning; machine learning for speech, audio and text; optimization and data mining.<br />
<br />
Notwithstanding the above focus, exceptional candidates from any area of Computer Science are also encouraged to apply.<br />
<br />
The deadline for applications is 16th January 2017. For further information see http://www.imperial.ac.uk/computing/job-vacancies/<br />
<br />
<br />
== Research Fellow in Biomedical Text Mining, University of Manchester, UK ==<br />
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK<br />
*Title: Research Fellow<br />
*Speciality: Natural Language Processing, Text Mining<br />
*Location: Manchester, UK<br />
*Deadline: December 18, 2016<br />
*Date posted: November 28, 2016<br />
*Contact: sophia.ananiadou@manchester.ac.uk<br />
<br />
Applications are invited for a postdoctoral research fellow in Text Mining at the National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester. The position is for 2 years.<br />
<br />
The objective of this BBSRC funded post is to conduct research into extracting complex information (entities and events) from the scientific literature to support metabolic model development.<br />
<br />
Candidates should have a PhD in Computer Science with emphasis in Natural Language Processing/Text Mining; working experience in biomedical text mining (event extraction); excellent knowledge in developing and adapting algorithms for text mining systems; strong publication record; excellent programming skills.<br />
<br />
* Duration of post: 1st January 2017 to 31st December 2018<br />
* Salary: £39,324 to £48,327 per annum<br />
<br />
'''Research Environment '''<br />
<br />
The National Centre for Text Mining (http://www.nactem.ac.uk) has been a leading centre for biomedical text mining since 2004, with areas of expertise in information extraction, terminology, text classification, text mining infrastructures and semantic search systems.<br />
NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research".<br />
<br />
The project will involve close collaboration with a team of experts focusing on metabolomics and cheminformatics.<br />
More information about the project: http://www.nactem.ac.uk/empathy/<br />
<br />
Informal enquiries: Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk).<br />
<br />
Application form and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=12531<br />
<br />
<br />
== Associate Research Scientist, UKP Lab, TU Darmstadt ==<br />
<br />
* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany<br />
* Title: Associate Research Scientist<br />
* Specialty: NLP<br />
* Location: Darmstadt<br />
* Deadline: December 12, 2016<br />
* Date posted: November 23, 2016<br />
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de Prof. Iryna Gurevych]<br />
<br />
The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has two openings for an<br />
<br />
'''Associate Research Scientist'''<br /><br />
'''(PostDoc- or PhD-level; for an initial term of two years)'''<br />
<br />
to strengthen the group’s profile in the areas of Interactive Machine Learning (IML) or Computational Argumentation (CA). The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP), of which Interactive Machine Learning and Computational Argumentation are the rapidly developing focus areas in collaboration with partners in research and industry. <br />
<br />
We ask for applications from candidates in Computer Science with a specialization in Machine Learning or Natural Language Processing, preferably with expertise in research and development projects, and strong communication skills in English and German. <br />
- The successful applicant in the area of interactive machine learning will work on research activities regarding its application to end-user content annotation, information structuring and recommendation, or semantic text analysis, and development activities to create the corresponding product prototypes. <br />
- The successful applicant in the area of Computational Argumentation will work on research activities in analyzing the discourse of future professionals while reasoning to automatically access their argumentation quality given small amounts of training data, and development activities for the research prototype. <br />
Prior work in the above areas is a definite advantage. Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP and/or ML) systems, experience in information retrieval, large-scale data processing and large-scale knowledge bases, and strong programming skills incl. Java. Experience with neural network architectures is a strong plus. Combining fundamental NLP research on Interactive Machine Learning or Computational Argumentation with practical applications in different domains will be highly encouraged.<br />
<br />
UKP’s wide cooperation network both within its own research community and with partners from research and industry provides an excellent environment for the position to be filled. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web” and the Research Training Group [https://www.aiphes.tu-darmstadt.de “Adaptive Information Processing of Heterogeneous Content” (AIPHES)] funded by the DFG emphasize NLP, machine learning, text mining, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest industrial standards, cooperative work style and close interaction of team members working on common goals.<br />
<br />
Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available). <br />
<br />
Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please send the applications to: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by 15.12.2016. The positions are open until filled. Later applications may be considered if the position is still open.<br />
<br />
== One Teaching Track and One Tenure Track position open at the Language Technologies Institute at Carnegie Mellon University (Pittsburgh, PA USA) ==<br />
Employer: Language Technologies Institute, School of Computer Science, Carnegie Mellon University<br />
<br />
Title: Assistant Teaching Professor and Assistant Professor<br />
<br />
Specialty: Natural Language Processing, Computational Linguistics, Machine Learning and Statistical Methods for NLP, Social Media Analysis<br />
* Deadline: January 3, 2017<br />
* Date posted: 10th November 2016<br />
* Contact: [mailto:cprose@cs.cmu.edu Dr. Carolyn P.Rose]<br />
<br />
The Language Technologies Institute (LTI) in the School of Computer Science (SCS) at Carnegie Mellon University invites applications for teaching-track and tenure-track positions, beginning Fall 2017. LTI is an academic department dedicated to the study of human language and information technologies, with approximately thirty faculty members. LTI is one of seven departments within SCS, which has over 200 tenure-track, research, and teaching faculty with expertise spanning traditional computer science, human computer interaction, language technologies, machine learning, computational biology, software engineering, and robotics. SCS offers a highly collaborative and uniquely interdisciplinary environment that promotes innovation and entrepreneurship in both teaching and research. <br />
<br />
<br />
The teaching track is a career-oriented, renewable appointment with an initial appointment of three years. Initial teaching-track appointments are typically at the rank of Assistant Teaching Professor, with the possibility of promotion to the ranks of Associate Teaching Professor and Teaching Professor. These ranks are not tenured, but they do provide substantial opportunities for professional growth and long-term contributions to Language Technologies education at Carnegie Mellon University. Teaching track faculty contribute to the design of new curricula and the adoption of new teaching methods.<br />
For more information about this position, see: http://lti.cs.cmu.edu/teaching-track-faculty-position<br />
<br />
<br />
We are also seeking to hire on the tenure track. Tenure track appointments are typically at the rank of Assistant Professor, with the possibility of promotion to the ranks of Associate Professor and Professor. Tenure-track applicants must have strong interests and accomplishments in both research and teaching. For more information about this position, see: http://lti.cs.cmu.edu/tenure-track-faculty-position<br />
<br />
== One Post-doctoral position in Statistical Machine Translation in CUNY (at Manhattan, NYC) ==<br />
<br />
Employer: Department of Computer Science at Hunter College, University of New York<br />
Title: post-doctoral position<br />
Specialty: Machine Translation <br />
Location: Manhattan, NYC, NY<br />
* Deadline: Open until filled <br />
* Date posted: 6th November 2016<br />
* Contact: [mailto:Jia.Xu@hunter.cuny.edu Dr. Jia Xu]<br />
<br />
The Statistical Machine Learning and Translation group of Dr. Xu at the City University of New York is inviting applications for one post-doctoral position. This is a splendid opportunity to conduct research blending very applied research (i.e. industrial-level Machine Translation systems) with foundational research in statistical machine learning. Dr. Xu’s group has an excellent record (e.g. winning first-place) in the international machine translation competitions during the last decade. The current research has evolved into exciting areas beyond statistical machine translation, such as in the foundations of machine learning and in frameworks in understanding the underlying geometry of languages.<br />
<br />
Applicants should hold by the time the appointment begins a PhD (or its equivalent) in Computer Science, Computer Engineering, Statistics, Mathematics, Physics or in a related discipline. We are seeking for applicants committed to either (1) extending their current research program in statistical Natural Language Processing or (2) employing their analytical and engineering skills and join in our current research program. Therefore, this position can be also seen as an opportunity to fast-forward develop statistical NLP skills and conduct cutting-edge research in this field.<br />
<br />
The position is for 1 year with the possibility of extending it up to 3 years. The starting date is flexible.<br />
<br />
The Hunter College at the City University of New York may ask the post-doctor to take up a very moderate teaching load (can be waived based on research promise). The salary commensurate with qualifications and research potential and starts from $50K/year.<br />
<br />
Hunter college is located in upper-east Manhattan. This is an extremely vibrant research location with numerous opportunities for collaboration. Hunter college is surrounded by top research labs (e.g. Google Research, Microsoft Research, Facebook, IBM Research), and many other university departments (e.g. Princeton, Columbia, NYU).<br />
<br />
Applications should include a recent CV and optionally a research statement and 2 representative publications. Applications should be sent to Dr. Jia Xu by email to: jia.xu@hunter.cuny.edu including in the Subject title the keyword: “Application”.<br />
<br />
All applicants will be notified upon receipt of the application by email.<br />
<br />
This position will be advertised at http://jiaxu.org until is filled.<br />
<br />
Hunter is committed to a policy of equal employment and equal access in its educational programs and activities. Diversity, inclusion, and an environment free from discrimination are central to the mission of the City University of New York.<br />
<br />
<br />
<br />
== Three fully funded PhD Positions in Statistical Natural Language Processing in CUNY (at Manhattan, NYC) ==<br />
<br />
Employer: Department of Computer Science at Hunter College, University of New York<br />
Title: fully-funded PhD position<br />
Specialty: NLP<br />
* Location: Manhattan, NYC, NY<br />
* Deadline: Open until filled <br />
* Date posted: 6th November 2016<br />
* Contact: [mailto:Jia.Xu@hunter.cuny.edu Dr. Jia Xu]<br />
<br />
<br />
The Statistical Machine Learning and Translation group of Dr. Xu at the City University of New York is inviting applications for fully-funded PhD student positions starting in 2017. This is a splendid opportunity to conduct research blending very applied research (i.e. industrial-level Machine Translation systems) with foundational research in statistical machine learning. Dr. Xu’s group has an excellent record (e.g. winning first-place) in the international machine translation competitions during the last decade. The current research has evolved into exciting areas beyond statistical machine translation, such as in the foundations of machine learning and in frameworks in understanding the underlying geometry of languages.<br />
<br />
Applicants should hold by the time that begin their PhD studies a BSc, BEng (or its equivalent) in Computer Science, Linguistics, Computer Engineering, Statistics, Mathematics, Physics or related disciplines. We are seeking for very motivated students with enthusiasm and dedication in conducting cutting-edge research in statistical methods over massive amounts of data. Natural Language Processing is the prototypical domain where Machine Learning and Big Data are required to come together.<br />
<br />
The typical duration of the PhD program is from 3 to 4 years. <br />
<br />
The Hunter College at the City University of New York asks that the PhD candidate should take up two teaching assistantships per year. The admitted student will be offered to have the tuition fees covered and also stipend sufficient to cover the living cost.<br />
<br />
Hunter college is located in upper-east Manhattan. This is an extremely vibrant research location with numerous opportunities for internships and collaboration. Hunter college is surrounded by top research labs, such as Google Research, Microsoft Research, Facebook, and IBM Research.<br />
<br />
Application material: CV and optionally a statement of purpose letter, GRE, and TOELF/IELTS results. Applications should be sent to Dr. Jia Xu by email to: Jia.Xu@hunter.cuny.edu including in the Subject title the keyword: “PhD".<br />
<br />
All applicants will be notified upon receipt of the application by email.<br />
<br />
This position will be advertised at http://jiaxu.org until the position is filled.<br />
<br />
Hunter is committed to a policy of equal employment and equal access in its educational programs and activities. Diversity, inclusion, and an environment free from discrimination are central to the mission of the City University of New York.<br />
<br />
<br />
<br />
== Funded PhD Position in Natural Language Processing in Barcelona ==<br />
<br />
* Employer: Department of Information and Communication Technologies at Universitat Pompeu Fabra<br />
* Title: PhD studentship position<br />
* Specialty: NLP<br />
* Location: Barcelona, Spain<br />
* Deadline: August 8th, 2016 (or until filled) <br />
* Date posted: 29th July 2016<br />
* Contact: [mailto:horacio.saggion@upf.edu Prof. Horacio Saggion]<br />
<br />
<br />
The Department of Information and Communication Technologies at Universitat Pompeu Fabra in Barcelona, Spain, invites applications for a PhD studentship position that is associated with the María de Maeztu Units of Excellence Research Program of the Spanish Government (http://www.upf.edu/mdm-dtic), and involves joint work of the research labs of profs. Horacio Saggion and Ricardo Baeza-Yates. This position will be funded under the FPI call to be launched by the Spanish Ministry of Economy and Competitiveness.<br />
<br />
Project Description<br />
<br />
In the context of our Maria de Maeztu (MdM) project "Mining the Knowledge of Scientific Publications" ( see http://www.upf.edu/mdm-dtic) the PhD student will carry out a research project on the more focused area of automatic research paper assessment which concerns a number of interesting research questions including but not limited to: <br />
<br />
* automatic research paper evaluation<br />
* automatic research paper/author impact prediction<br />
* automatic novelty evaluation<br />
<br />
The PhD will benefit from the resources developed during MdM project: availability of large scale open scientific repositories, natural language processing technology adapted to scientific text processing, document retrieval technology, etc. as well as the expertise of the MdM team members.<br />
<br />
Applicants<br />
<br />
Candidates should hold a M.Sc. in Computer Science or related field with a solid background in Natural Language Processing and be proficient in spoken and written English. Experience with recent advances in Machine Learning and Information Retrieval would be highly valuable. Knowledge of statistical analysis is highly desirable.<br />
<br />
More information<br />
<br />
For informal inquiries, prospective candidates may contact professor Horacio Saggion at horacio DOT saggion AT upf DOT edu <br />
<br />
For more information please check the official announcement at <br />
<br />
https://portal.upf.edu/web/etic/automatic-research-assessment?p_p_id=56_INSTANCE_MaAxd6TFfhia&p_p_lifecycle=0&p_p_state=normal&p_p_mode=view&p_p_col_id=column-1&p_p_col_count=1<br />
<br />
== Research Fellow in Biomedical Text Mining, University of Manchester, UK ==<br />
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK<br />
*Title: Research Fellow<br />
*Speciality: Natural Language Processing, Text Mining<br />
*Location: Manchester, UK<br />
*Deadline: August 13, 2016<br />
*Date posted: July 18, 2016<br />
*Contact: sophia.ananiadou@manchester.ac.uk<br />
<br />
Applications are invited for a postdoctoral research fellow in Biomedical Text Mining at the National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester.<br />
<br />
The objective of this BBSRC funded post in collaboration with Unilever is to conduct research into extracting complex information from the scientific literature to support metabolic pathway curation using text mining methods. <br />
<br />
Candidates should have a PhD in Computer Science with emphasis in Natural Language Processing/Text Mining; working experience in information extraction at large scale; excellent knowledge in developing and adapting algorithms for text mining systems; machine learning; experience in biomedical Text Mining; strong track record of high-quality papers in conferences such as ACL, EMNLP, etc., and in high quality journals; excellent programming skills; proven ability to develop independently research proposals. <br />
<br />
* Duration of post: until 31st March 2018 with possibility of extension<br />
* Salary: £38,896 to £47,801 per annum<br />
<br />
'''Research Environment '''<br />
<br />
The National Centre for Text Mining (http://www.nactem.ac.uk) has been a leading centre for biomedical text mining since 2004, with areas of expertise in information extraction, terminology, text classification, text mining infrastructures and semantic search systems.<br />
NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research".<br />
<br />
The project will involve close collaboration with a team of experts focusing on metabolomics and cheminformatics.<br />
More information about the project: http://www.nactem.ac.uk/empathy/<br />
<br />
Informal enquiries: Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk).<br />
<br />
Application form and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=11856<br />
<br />
== Computational Linguist-Morphology ==<br />
<br />
* Employer: [http://www.edcknowledge.com/ Esprit de Corps Corporation (EdC)], US<br />
* Title: Computational Linguist-Morphology<br />
* Specialty: Application of Finite State Transducers (FST) to language processing technologies, development of FST networks for languages, integration of morphological analyzers.<br />
* Location: Various US Locations<br />
* Deadline: Open<br />
* Date posted: June 19, 2016<br />
* Contact: [mailto:jlay@edcknowledge.com. Jim Lay]<br />
<br />
<br />
EdC provides linguistic and cultural insight in support of US national interests. We are a woman owned, small business, and an equal opportunity employer.<br />
<br />
The Computational Linguist-Morphology provides unique expertise with the application of FST to language processing technologies, to include the development of FST networks for languages, the integration of morphological analyzers in multilingual databases/search engines and the development of APIs for managing FST I/O in a multilingual environment.<br />
<br />
''Qualifications''<br />
<br />
*A master's degree in computer science and/or linguistics, or in a related field; eight (8) years related experience in FST technologies for language applications may be substituted for a master's degree.<br />
<br />
*Within the last ten (10) years, shall have a minimum of seven (7) years experience programming language networks in one or more FST applications such as XSFT, Stuttgart Finite State Transducer Toolkit, OpenFST, FOMA, or other product with equivalent functional capabilities.<br />
<br />
*Shall have a minimum of five (5) years experience coding with two (2) or more of the following: C, C++, or Java. Shall also have a minimum of five (5) years experience with Perl and/or Python scripting languages.<br />
<br />
*Within the last ten (10) years, shall have a minimum of five (5) years experience with linguistics and language structure, language processing technologies, and/or with applying morphologies to multilingual databases/search engines.<br />
<br />
*Shall have a minimum of five (5) years experience with two (2) or more foreign languages. Shall have demonstrated experience with international encodings, to include converting and handling multilingual encoding, such as UTF-8.<br />
<br />
''Applicants must be United States citizens able to acquire a personal security clearance.''<br />
<br />
For more information about the post and for '''applications''': http://edcknowledge.com/join-the-corps-2/, Search and apply for the position titled "Computational Linguist-Morphology".<br />
<br />
== Computational Linguist ==<br />
<br />
* Employer: [http://www.edcknowledge.com/ Esprit de Corps Corporation (EdC)], US<br />
* Title: Computational Linguist<br />
* Specialty: Integration of NLP Modules, Experimentation with User Interfaces for Analytic Support, Web Services for Querying Extracted Results.<br />
* Location: Various US Locations<br />
* Deadline: Open<br />
* Date posted: June 19, 2016<br />
* Contact: [mailto:jlay@edcknowledge.com. Jim Lay]<br />
<br />
<br />
EdC provides linguistic and cultural insight in support of US national interests. We are a woman owned, small business, and an equal opportunity employer.<br />
<br />
The Computational Linguist provides unique expertise with the application of computer science to language processing technologies, to include experimentation with, and integration of, unique NLP modules, experimentation with user interfaces for analytic support, web development, and development of web services for querying extracted results. <br />
<br />
''Qualifications''<br />
<br />
*MA in computer science and/or linguistics, or in a related field (8 years related experience may be substituted for a Master's Degree). <br />
<br />
*Within the last 10 years shall have a minimum of 7 years experience each programming: C, C++, or Java.<br />
<br />
*Within the last 5 years, shall have a minimum of 3 years programming with two or more scripting languages (e.g. Perl, Python).<br />
<br />
*Within the last 10 years, shall have a minimum of 5 years experience with linguistics and language structure, language processing technologies, and/or with applying ontologies to NLP applications. <br />
<br />
*A minimum of 5 years experience with two or more foreign languages is required. <br />
<br />
*Shall have demonstrated experience developing software in a Linux environment, with Semantic Web technologies (e.g. RDF, OWL), and with international encodings, to include converting and handling multilingual encoding, such as UTF - 8 is required.<br />
<br />
''Applicants must be United States citizens able to acquire a personal security clearance.''<br />
<br />
For more information about the post and for '''applications''': http://edcknowledge.com/join-the-corps-2/, Search and apply for the position titled "Computational Linguist".<br />
<br />
== Research Associate/Fellow in Machine Learning, University of Sheffield, UK ==<br />
* Employer: [http://www.sheffield.ac.uk/ University of Sheffield], UK<br />
* Title: Research Associate/Fellow<br />
* Specialty: ML<br />
* Location: Sheffield<br />
* Deadline: July 18, 2016<br />
* Date posted: June 17, 2016<br />
* Contact: [mailto:l.specia@sheffield.ac.uk Prof. Lucia Specia]<br />
<br />
<br />
We have an opening for a 3-year position of Research Associate or Research Fellow in Machine Learning with applications to Machine Translation and Multimodal Language Processing. This position is funded by the ERC MultiMT project: Multi-modal Context Modelling for Machine Translation, led by Prof. Lucia Specia (www.dcs.shef.ac.uk/~lucia) at the University of Sheffield.<br />
<br />
This is a highly interdisciplinary project involving Natural Language Processing, Computer Vision and Machine Learning. Its goal is to devise methods and algorithms to exploit global multi-modal information for context modelling in Machine Translation. The post holder will be expected to investigate new ways to acquire multilingual multi-modal representations, and new machine learning and inference algorithms that can learn from these rich context models to generate high quality translations. In addition, if appointed as Research Fellow, the post holder will be expected to make significant contributions to multi-modal language processing in general, drawing from their experience in Computer Vision and Natural Language Processing.<br />
<br />
This is an opportunity to work in a well-connected international team with world-leading reputation in the Natural Language Processing (NLP) research group at the University of Sheffield. The NLP group is well known internationally for its research, and is one of the largest research groups in the area in Europe.<br />
<br />
This post offers excellent opportunities for publications, project visits and conference trips. Applicants should have (for Research Associate (RA) and Research Fellow (RF) posts):<br />
<br />
* PhD (or equivalent work experience) in Computer Science, Statistics, Mathematics or related areas<br />
* Significant experience and track record in Machine Learning (RA and RF)<br />
* Strong publication record commensurate with career stage (RA and RF)<br />
* Experience and strong track record in Computer Vision (desirable for RA, required for RF)<br />
* Experience and strong track record in Natural Language Processing (desirable for both RA and RF)<br />
* Strong programming experience, particularly in Python or C++. (RA and RF)<br />
<br />
This post is fixed-term with a start date from August 2016 (or soon after) and duration of ''3 years'' with possibility of extension to ''5 years''.<br />
<br />
'''Salary range''': £28,847 to £46,414 per annum.<br />
<br />
For informal inquiries contact Dr. Lucia Specia: L.Specia@sheffield.ac.uk<br />
<br />
For more information about the post and for '''applications''': http://www.shef.ac.uk/jobs, Search and apply for jobs using reference number UOS014018<br />
<br />
<br />
<br />
== Doctoral Researcher at UKP/KRITIS, TU Darmstadt ==<br />
<br />
* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany<br />
* Title: Doctoral researcher<br />
* Specialty: NLP<br />
* Location: Darmstadt<br />
* Deadline: July 10, 2016<br />
* Date posted: June 10, 2016<br />
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de Prof. Iryna Gurevych]<br />
<br />
KRITIS ("Kritische Infrastrukturen: Konstruktion, Funktionskrisen und Schutz in Städten"), a new interdisciplinary research training group at Technsiche Universität Darmstadt and funded through the German Research Foundation, is currently seeking a '''Doctoral Researcher''' to start on 1 October 2016.<br />
<br />
KRITIS researches systems for technical supply and disposal, and for communication and transport, which have become the central nervous system of modern cities. Their disruption can trigger dramatic crises. Modern city infrastructures are increasingly vulnerable not only to external threats (natural disasters, terrorist attacks, and cyber attacks) but also due to their inherent complexity and interdependence. Our aim is to understand and describe these complex systems in their spatial and temporal contexts. This is done in three main research areas:<br />
<br />
# We want to ensure that technical infrastructures are constructed with the term "critical" in mind. We therefore ask what technical-functional needs, and political and social considerations, are relevant, and how these vary according to the systems' historical and spacial context.<br />
# We assume that the complex spatial and temporal arrangements become particularly visible during infrastructural-functional crises. We therefore investigate failures of urban infrastructures, including the conditions contributing to their vulnerability or resilience.<br />
# Finally, we ask how we can best organize protection against or preparation for infrastructural-functional crises (so-called "prevention and preparedness").<br />
<br />
Research in the training group takes an interdisciplinary approach, with cooperation among the following specialities: space and infrastructure planning, modern and contemporary history, medieval history, philosophy of technology, comparative analysis of political systems, ubiquitous knowledge processing, urban design and planning, rail systems, and computer science for architecture and construction.<br />
<br />
In this area, the discipline of ubiquitous knowledge processing (Prof. Iryna Gurevych) is concerned with the interactions between urban infrastructure (e.g., transport, telecommunications), communication in social media, and the relevant spatial and temporal analysis methods from the perspective of adaptive information and text processing. This will be of particular interest to doctoral candidates in the fields of real-time text analysis which can be applied to the early detection of crises, to public opinion-making, or to crisis management through automated evaluation of (online) content such as Twitter.<br />
<br />
Possible dissertation topics include:<br />
* Social-spatial differences of criticality: location- and class-specific text-analytic mining of argumentation on urban infrastructure in social media<br />
* Mining of arguments on urban infrastructure in social media for cascading reactions (i.e., spatio-temporal spread of social media responses to the collapse of urban infrastructure)<br />
* Early recognition of vulnerability: Real-time monitoring of information on hazards to urban infrastructure in social media<br />
* User expectations on the speed of resolution of infrastructural failures – comparison and analysis of tweets across national boundaries<br />
<br />
For discussion or advice on further possible research topics and organizational issues, please contact Prof. Iryna Gurevych at [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de].<br />
<br />
'''Requirements:''' The successful applicants should produce a doctoral dissertation related to one or more of the above-noted research priorities. This dissertation should be completed within three years and submitted to one of the departments of Technische Universität Darmstadt. Further information on KRITIS's scientific program and its participating professors will be available soon on the following website: [http://www.kritis.tu-darmstadt.de http://www.kritis.tu-darmstadt.de]<br />
<br />
It is expected that all members of the research training group will be intensively engaged in interdisciplinary cooperation leading to scholarly publications and lectures. To this end, regular participation in seminars, symposia, workshops, etc. is required, which necessitates the doctoral candidates being domiciled in the Rhine-Main area.<br />
<br />
'''Working environment and conditions:''' KRITIS offers an excellent research infrastructure for doctoral students who wish to carry out their own research project within an innovative and internationally networked program. The members of the group work in shared offices under the support and patronage of participating professors. Among the special services include the possibility of a financed stay abroad in one of four internationally renowned partner universities. We also work with various partners in the private and public sector (companies, government offices, and other organizations) at which candidates can complete internships.<br />
<br />
Salaries for doctoral candidates depend on qualifications and experience, and will be in line with the collective agreement for employees at TU Darmstadt (TV-TU Darmstadt). The positions are limited to three years and include, depending on the field, 65% to 100% (full-time) employment.<br />
<br />
'''Your application:''' TU Darmstadt strives to increase its number of female employees, and as such particularly encourages women to apply. All other things being equal, applicants who have a degree of disability of at least 50% (or the equivalent) will receive preference. Please prepare your application in English or German, and compressed as a single file (up to 6 MB). Applications should be sent by e-mail to Prof. Gurevych at [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by '''10 July 2016'''. The application should include a CV listing language skills and overseas experience, scanned copies of academic credentials, and a sketch of up to five pages for a doctoral project.<br />
<br />
We look forward to receiving your application!<br />
<br />
== Doctoral Researcher in NLP at TU Darmstadt and/or University of Heidelberg ==<br />
<br />
* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt] and/or [http://www.uni-heidelberg.de/ Ruprecht-Karls-University Heidelberg], Germany<br />
* Title: Doctoral researcher<br />
* Specialty: NLP<br />
* Location: Darmstadt and/or Heidelberg, Germany<br />
* Deadline: June 30, 2016<br />
* Date posted: June 6, 2016<br />
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]<br />
<br />
The Research Training Group „Adaptive Information Preparation from Heterogeneous Sources“ (AIPHES) at the Technische Universität Darmstadt and at the Ruprecht‑Karls‑University Heidelberg is filling a position for three years, starting as soon as possible: '''Doctoral Researcher in Natural Language Processing'''<br />
<br />
The position provides the opportunity to obtain a doctoral degree with an emphasis on the guiding theme D1: Multi-level models of information quality, under the leadership of Prof. Dr. Iryna Gurevych (UKP Lab, TU Darmstadt). A possible research focus of the position is an automatic claim checking with its applications in the domain of computational journalism. However, other suitable topics may be proposed as well. The funding follows the guidelines of the DFG, and the positions are paid according to the E13 public service pay scale. <br />
<br />
The goal of AIPHES is to conduct innovative research in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, and automated quality assessment are being developed. AIPHES investigates a novel scenario for information preparation from heterogeneous sources, within the application context of multi-document summarization. There exists close interaction with end users who prepare textual documents in an online editorial office and therefore profit from the results of AIPHES. <br />
<br />
Participating research groups at the Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Eckle-Kohler, Dr. Meyer), Algorithmics (Prof. Weihe), Language Technology (Prof. Biemann). Participants at the Ruprecht‑Karls‑University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of Heidelberg Institute for Theoretical Studies (HITS). Cooperating partners are the Institute for Communication and Media of the University of Applied Sciences Darmstadt and other partners in the area of online media. <br />
<br />
AIPHES emphasizes close contact between students and their advisors, has regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. The training group has the goal of publishing its results at leading scientific conferences and actively supports its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.<br />
<br />
'''Prerequisites'''<br />
<br />
We are looking for exceptionally qualified candidates with a degree in Computer Science, Computational Linguistics, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Desirable is experience in scientific work. Applicants should be able to work with German-language texts, and, if necessary, to acquire German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged. <br />
<br />
The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web” emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge. The Institute for Computational Linguistics (ICL) of the Ruprecht‑Karls‑University Heidelberg is one of the large centers for computational linguistics both in Germany and internationally. <br />
<br />
Applications should include: <br />
<br />
* a motivational letter explaining the applicant’s possible contribution to the guiding theme D1,<br />
* a CV with information about the applicant’s scientific work,<br />
* certifications of study and work experience,<br />
* as well as a thesis or other publications in electronic form.<br />
<br />
They should be submitted until June 30th, 2016 to the spokesperson of the research training group, Prof. Dr. Iryna Gurevych (Fachbereich Informatik, Hochschulstr. 10, 64289 Darmstadt) using the e-mail address [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]. <br />
<br />
== Full Professor (W3) for Real-Time Data Analytics at TU Darmstadt ==<br />
<br />
* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany<br />
* Title: Full Professor<br />
* Specialty: Real-Time Data Analytics, with interdisciplinary experience in NLP<br />
* Location: Darmstadt, Germany<br />
* Deadline: July 6, 2016<br />
* Date posted: June 1, 2016<br />
* Contact: [mailto:dekanat@informatik.tu-darmstadt.de dekanat@informatik.tu-darmstadt.de] (for applications); [mailto:gurevych@ukp.informatik.tu-darmstadt.de Iryna Gurevych] (for further information)<br />
<br />
The Department of Computer Science at Technische Universität Darmstadt invites applications for the position of '''Full Professor (W3) for Real-Time Data Analytics''' to be appointed as soon as possible.<br />
<br />
We are seeking an outstanding researcher to establish the Department’s new area of real-time data analytics through research and teaching. The main focus of the professorship will be on excellent, method-oriented research, with close links to systems and applications. It is also expected that the successful candidate plays a formative role in cross-department and interdisciplinary research activities; the bridge to engineering departments of the university, in particular to the department of mechanical engineering, is particularly important in this respect. <br />
<br />
Relevant topics include real-time data analytics on dynamic data streams of various types (including sensor data, text, and images), adaptive information processing and integration, and interactive machine learning. Further topics of research include data analysis and its applications in the mining of data and data streams of heterogeneous nature, quality, and quantity and in the support of decision-making processes, decision management, and the creation of self-organizing systems. Example application areas include automotive engineering, transport and logistics, and cognitive information processing for information validation on the Web.<br />
<br />
We expect applicants to have interdisciplinary experience in the use of data analysis methods in cooperation with scientists from other fields as well as with industrial partners. The professorship is intended to strengthen those profile areas of TU Darmstadt in which real-time requirements and interactivity play a central role, such as the Internet and digitization and their associated research fields such as data science, Industry 4.0, autonomous driving, smart transport and energy networks, smart buildings, but also '''natural language processing''', cognitive science, and cybersecurity.<br />
<br />
In addition to an outstanding academic CV, applicants must demonstrate a strong commitment to teaching computer science (incl. foundational courses) at the Bachelor’s and Master’s levels. A willingness to participate in academic self-administration is also expected.<br />
<br />
Technische Universität Darmstadt is an autonomous university with a wide-ranging excellence in research, an interdisciplinary profile, and a strong focus on engineering as well as on information and communication technologies. Our Department is one of the leading national Computer Science departments and regularly ranked in the top group in national rankings.<br />
<br />
Employment will be on a non-tariff basis, with qualification-based compensation based on the German W-level salary. Applicants who are already professors classed as German civil servants (''Beamter'') can retain this status. Employment regulations from §§61 and 62 of the ''Hessisches Hochschulgesetz'' apply.<br />
<br />
Technische Universität Darmstadt is committed to increase the proportion of female scientific staff and therefore particularly encourages women to apply. All other things being equal, we will give preference to candidates with a degree of disability of at least 50 (or the equivalent).<br />
<br />
Applications, including all the usual supporting documents, should be submitted to the Dean of the Department of Computer Science, Technische Universität Darmstadt, Hochschulstr. 10, 64289 Darmstadt, Germany, e-mail dekanat@informatik.tu-darmstadt.de. Please quote '''reference No. 244'''.<br />
<br />
For further information, please contact Prof. Dr. Iryna Gurevych, tel. [+49] (0)6151 16 25290, gurevych@ukp.informatik.tu-darmstadt.de<br />
<br />
==NLP Postdoctoral Researcher at UNSW, Australia==<br />
<br />
* Employer: The University of New South Wales, Australia<br />
* Title: Research Associate/Fellow<br />
* Specialty: NLP, Knowledge Graph<br />
* Location: Sydney, Australia<br />
* Deadline: June 6th, 2016<br />
* Date posted: May 14th, 2016<br />
* Contact: Wei Wang (weiw@cse.unsw.edu.au)<br />
<br />
'''POSITION DESCRIPTION'''<br />
<br />
A postdoctoral position is available in School of Computer Science and<br />
Engineering at the University of New South Wales, Australia. The successful<br />
candidate will work with Dr. Wei Wang on utilizing Natural language processing<br />
(NLP), data mining, and semantic web to develop novel algorithms, tools and<br />
methods for constructing and maintaining domain-specific knowledge graphs from<br />
vast amount of unstructured/semi-structured data sources. This position is<br />
funded by Data to Decisions Cooperative Research Centre (D2D CRC), which was<br />
established in 2014 with a grant of A$25 million from the Australian Government,<br />
researchers and industry to provide the Big Data capability resulting in a safer<br />
and more secure nation and a sustainable Big Data workforce for Australia.<br />
<br />
<br />
'''POSITION REQUIREMENTS'''<br />
<br />
Essential criteria:<br />
<br />
* Proven ability to undertake research in a relevant research area (e.g. natural language processing, data mining, knowledge graph) at an international level, as evidenced by research output.<br />
* Excellent programming skills (java or C/C++).<br />
* A demonstrable history of contributing to excellent publications in relevant top-tier conferences (e.g. ACL, EMNLP, KDD, IJCAI, AAAI, ICML, NIPS, SIGMOD, VLDB) and journals.<br />
* Proven ability to communicate specialist ideas clearly in English using written media.<br />
* Excellent organisational skills with a proven ability to work independently and be self-managing, to prioritise your work and meet deadlines within the framework of an agreed programme.<br />
* A PhD in Computer Science or closely related area, or equivalent experience. Candidates with pending degrees who will successfully defend their dissertations by August 1, 2016 will also be considered.<br />
<br />
<br />
Desirable criteria:<br />
<br />
* Knowledge of statistical natural language processing.<br />
* Knowledge of knowledge graph construction and applications.<br />
* Experience with analysing large text corpora using a high-performance computing environment.<br />
* Experience with python/R<br />
<br />
<br />
'''SALARY RANGE AND CONTRACT LENGTH'''<br />
<br />
* Research Associate: A$86,438 - A$92,453 per year (plus employer superannuation)<br />
* Research Fellow: A$97,090 - A$114,454 per year (plus employer superannuation)<br />
<br />
This is a fixed term position of one year with further renewal up to January 2019, subject to funding.<br />
<br />
<br />
'''ENVIRONMENT'''<br />
<br />
The School of Computer Science and Engineering in UNSW, located in Sydney, is<br />
one of the largest and leading computing schools in Australia. It offers both<br />
undergraduate and postgraduate programs in Software Engineering, Computer<br />
Engineering, Computer Science and Bioinformatics, as well as a number of<br />
combined degrees with other disciplines. It attracts excellent students who have<br />
an outstanding record in international competitions (such as Robocup).<br />
<br />
<br />
'''APPLICATION'''<br />
<br />
Please send a statement of interest, an academic CV (in pdf format) to Wei Wang<br />
(weiw@cse.unsw.edu.au) with the subject line starting with "[CRCPostdoc]". For<br />
informal queries, please send an email to weiw@cse.unsw.edu.au.<br />
<br />
<br />
<br />
<br />
<br />
<br />
==Computer Science Postdoctoral Researcher in Natural Language Processing for Social Science==<br />
<br />
* Employer: University of Pennsylvania<br />
* Title: Postdoctoral Researcher <br />
* Specialty: NLP<br />
* Location: Philadelphia, PA<br />
* Deadline: May 15th, 2016<br />
* Date posted: April 26th, 2016<br />
* Contact: Professor Lyle Ungar: ungar@cis.upenn.edu<br />
<br />
'''Summary'''<br />
<br />
We invite applicants for a postdoctoral research position in natural language processing for health and social science, working on an interdisciplinary research project studying subjective well-being and health outcomes. The researcher will help develop state-of-the-art methods and models to better understand people, such as predicting personality from the words they use and automatically recognizing cognitive distortions typical of people prone to depression. <br />
The primary responsibility will, of course, be producing top-quality published research in areas of interest to you and the WWBP team. You will be expected to lead multiple peer-reviewed publications each year and to support (as secondary author and technical expert) many more publications. As part of that latter process, we would like you to serve as the equivalent of a “Chief Technology Officer” of the WWBP, providing technical oversight and mentoring to the programmers and data scientists who build and maintain our software and hardware infrastructure, and who do the vast bulk of the data collection and analysis for the WWBP. <br />
<br />
The ideal candidate will have research experience in computational linguistics and applied machine learning. They will develop and code novel methods to leverage large datasets (i.e. billions of tweets) and use them to further our understanding of health, well-being, and the psychological states of individuals and large populations. Methods and results will be published in high impact computer science venues and, via collaboration with psychologists and medical doctors, in social science and health venues. See wwp.org for example publications.<br />
<br />
<br />
Approximate Start Date: Summer 2016<br />
<br />
<br />
'''How to Apply'''<br />
<br />
Send a detailed CV with at least 2 references who can be contacted for letters to applications@wwbp.org. Include job-code “POSTDOC-CS” in subject line. <br />
<br />
<br />
<br />
<br />
==Research Scientist, Natural Language Processing==<br />
<br />
* Employer: EMR.AI Inc.<br />
* Title: Research Scientist<br />
* Specialty: NLP<br />
* Location: San Francisco, CA<br />
* Deadline: May 20th, 2016<br />
* Date posted: April 21th, 2016<br />
* Contact: David Suendermann-Oeft ([mailto:david@emr.ai david@emr.ai])<br />
<br />
Headquartered in San Francisco, CA, EMR.AI Inc. is a leading provider of AI solutions to the medical sector. EMR.AI transforms unstructured information, in form of written, spoken, or typed reports, clinical test results, and radiographs into international standard codes saved in common EMR systems. The wealth of discrete medical data provided through this transformation in conjunction with EMR.AI's suite of medical analytics solutions enables stakeholders, practitioners, researchers, health providers, and policy makers to obtain a comprehensive picture of the available medical data in their organization.<br />
<br />
'''Summary'''<br />
<br />
EMR.AI Research & Development has openings for Research Scientists in the field of Natural Language Processing in our Downtown San Francisco offices. Scientists will work on projects spanning a variety of tasks including the semantic interpretation of written and spoken medical reports, the design of language models for a variety of NLP tasks and speech recognition, the summarization of written and spoken language in the medical domain, the incorporation of lexica, ontologies, relational databases, and other sources of structured and unstructured knowledge sources into EMR.AI’s medical NLP tool set, and others.<br />
<br />
This is a unique opportunity to be part of a cutting-edge R&D team in the epicenter of the world’s AI tech industry with true impact on medical research.<br />
<br />
'''Responsibilities'''<br />
<br />
* Process huge corpora of medical textual documents to perform syntactic and semantic analyses and train, tune, and test probabilistic and other data-driven models, using both existing tool benches, proprietary and open-source, as well as self-developed algorithms and techniques.<br />
* Produce high-quality programs and scripts to embed scientific algorithms into effective prototypes and demos to be shared with EMR.AI’s leadership team, its customers, partners, and vendors.<br />
* Create and document technological innovations by means of patent disclosures, scientific publications, media alerts, and other channels.<br />
* Work closely with EMR.AI’s speech processing team and its software engineering division to produce innovative and effective solutions for a range of AI products and services in the medical domain.<br />
* Represent the R&D division in communications with EMR.AI’s leadership team, its customers, partners, and vendors at meetings, conventions, and other venues as well as in written statements.<br />
<br />
'''Skills'''<br />
<br />
PhD in computer science, computational linguistics, electrical engineering, or a related field. Experience in the state of the art of NLP and its standard tools is required. Candidates must be very skilled in programming and must have a proven scientific track record. They must be excellent team players, including with distributed teams, and strong in oral and written English communication. Knowledge of the US medical sector is desirable, so are experience with start-ups and strong scientific connections throughout the Bay Area and beyond.<br />
<br />
'''Benefits'''<br />
<br />
EMR.AI offers competitive salaries, an excellent benefit package, and a stimulating work environment in the heart of San Francisco with manifold local, domestic, and international commercial and academic partnerships.<br />
<br />
'''How to Apply'''<br />
<br />
Please send your application documents to [mailto:jobs@emr.ai jobs@emr.ai]<br />
<br />
'''Contact'''<br />
<br />
EMR.AI Inc.<br />
<br />
90 New Montgomery St<br />
<br />
San Francisco, CA 94105, USA<br />
<br />
phone: +1-415-200-8535<br />
<br />
e-mail: [mailto:info@emr.ai info@emr.ai]<br />
<br />
www: [http://emr.ai http://emr.ai]<br />
<br />
<br />
<br />
==Research Scientist on Natural Language Processing==<br />
<br />
* Employer: IBM Research Ireland<br />
* Title: Research Scientist<br />
* Specialty: NLP, Machine Learning<br />
* Location: Dublin<br />
* Deadline: May 5th, 2016<br />
* Date posted: April 11th, 2016<br />
* Contact: [https://krb-sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?PageType=JobDetails&partnerid=26059&siteid=5016&AReq=36957BR link to application page]<br />
<br />
<br />
Ireland is accepting applications for full-time researchers in the area of natural language processing. The ideal candidate will have a PhD degree in computational linguistics or in computer science with a specialisation in Natural Language Processing (NLP). Prior experience in the area of text analytics with information extraction, information retrieval and machine learning are highly desirable, and experience with corpus linguistics or natural language understanding are a plus. Strong programming skills in Java are required.<br />
<br />
The successful research candidate must have demonstrated ability to define research plans, carry out leading research, and publish research results through professional journals, academic conferences, and patents.<br />
As a researcher you will be expected to organize challenging problems, develop new solutions, and work with business & development teams to ensure these solutions have a significant impact.<br />
<br />
<br />
==Postdoc Researcher on Vision and Language==<br />
<br />
* Employer: University of Liverpool<br />
* Title: Postdoc<br />
* Specialty: Computer Vision with an interest in human vision/language behaviour<br />
* Location: Liverpool UK<br />
* Deadline: April 20th, 2016<br />
* Date posted: March 28, 2016<br />
* Contact: [https://www.liverpool.ac.uk/working/jobvacancies/currentvacancies/research/r-590571/ link to application page]<br />
<br />
Applications are invited for a Postdoctoral Research associate position to study the relationship between visual/spatial representations and language. Language is often used to describe the visual world and this is done by labelling objects in the world with various categories such as roles (e.g., agent, goal). There is now a large infant social cognition literature which shows how categories like agents and goals may be identified using simple visual heuristics. In this post, we will strengthen these links by experimentally manipulating visual cues to see how they influence language choices in adults and children. In addition to the experimental study of these links, we will also develop computational models that use computer vision techniques to track the interaction of objects in videos and link these visual codes to the descriptions of the actions. We are most interested in people with a computational background who have an interest in human vision/language processing.<br />
<br />
This post offers the opportunity to join a thriving research group at the University of Liverpool and become a member of the ESRC International Centre for Language and Communicative Development (LUCID, http://www.lucid.ac.uk/), a multi-million pound collaboration between the Universities of Liverpool, Manchester and Lancaster. You should have (or be about to obtain) a PhD in the field related to Computer Science, Psychology, Cognitive Science, or related disciple. The post is available for 3 years.<br />
<br />
<br />
==Postdoc Positions at Johns Hopkins University==<br />
<br />
* Employer: Johns Hopkins University<br />
* Title: Postdoc<br />
* Specialty: NLP, Machine Learning, Social media analysis for computational social science, health/medicine<br />
* Location: Baltimore, MD<br />
* Deadline: March 31, 2016<br />
* Date posted: March 1, 2016<br />
* Contact: [http://www.clsp.jhu.edu/employment-opportunities/ http://www.clsp.jhu.edu/employment-opportunities/]<br />
<br />
The Center for Language and Speech Processing (CLSP) at the Johns Hopkins University seeks applicants for postdoctoral fellowship positions in speech and language processing, including the areas of natural language processing, machine learning and health informatics. Applicants must have a Ph.D. in a relevant discipline and a strong research record.<br />
<br />
The center has a number of postdoctoral positions available for the coming year. Possible research topics include:<br />
* Trend Detection in Social Media<br />
* Broadly Multilingual Learning of Morphology<br />
* Stochastic approximation algorithms for subspace and multi-view representation learning<br />
* Analysis of large-scale time series data in healthcare<br />
<br />
Host faculty include:<br />
Mark Dredze, David Yarowsky, Jason Eisner, Sanjeev Khudanpur, Benjamin Van Durme, Raman Arora, Suchi Saria<br />
<br />
<br />
==Associate/Full Professor in Computational Linguistics at Stony Brook University==<br />
* Employer: Department of Linguistics, Stony Brook University<br />
* Title: Associate/Full Professor<br />
* Specialty: Computational Linguistics<br />
* Location: New York, USA<br />
* Deadline: <strike>March 14, 2016</strike> May 1, 2016<br />
* Date posted: February 17, 2015<br />
* LinguistList Announcement: [http://linguistlist.org/issues/27/27-861.html http://linguistlist.org/issues/27/27-861.html]<br />
* Contact: Lori Repetti [mailto:lori.repetti@stonybrook.edu lori.repetti@stonybrook.edu]<br />
<br />
'''Job Description'''<br />
<br />
The Department of Linguistics at Stony Brook University invites applications for a tenured appointment in computational linguistics, beginning Fall 2016 or Fall 2017. This is a senior appointment at the Associate or Full Professor level.<br />
<br />
The successful candidate will have a PhD (preferably in Linguistics or Computer Science), an outstanding research profile in Computational Linguistics (ideally in areas that complement existing departmental strengths), a strong track record in grant acquisition, and teaching and advising experience at the graduate and/or undergraduate levels.<br />
<br />
They will also be expected to<br />
<br />
* Contribute to the ongoing development of the Department's degree programs in linguistics and computational linguistics,<br />
* Initiate new collaborations and expand existing ones with other computational research groups on campus, in particular in the Department of Computer Science and the Institute for Advanced Computational Science,<br />
* Strengthen the department's connections with the local IT industry.<br />
<br />
Salary will be commensurate with education and experience.<br />
<br />
'''Application'''<br />
<br />
Applications must be submitted via AcademicJobsOnline: [https://academicjobsonline.org/ajo/jobs/6983 https://academicjobsonline.org/ajo/jobs/6983]<br />
<br />
<br />
==Research Scientist at the Allen Institute for Artificial Intelligence==<br />
<br />
* Employer: Allen Institute for Artificial Intelligence (AI2)<br />
* Title: Research Scientist<br />
* Specialties (one or more): Natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, question answering and explanation<br />
* Location: Seattle, WA<br />
* Deadline: N/A, we are hiring throughout 2016<br />
* Date posted: 02/09/2016<br />
* Contact information: ai2-info@allenai.org<br />
* Website: http://allenai.org/jobs.html<br />
<br />
'''Job Description'''<br />
<br />
The Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni. The core mission of (AI2) is to contribute to humanity through high-impact AI research and engineering. We are actively seeking Research Scientists at all levels who are passionate about AI and who can help us achieve this core mission by teaming to construct AI systems with reasoning, learning and reading capabilities. <br />
<br />
'''Position Summary'''<br />
<br />
AI2 currently has projects in the following areas:<br />
<br />
* Language and Vision<br />
* Information extraction and semantic parsing<br />
* Question answering<br />
* Language and reasoning<br />
* Machine learning and theory formation<br />
* Semantic search<br />
* Natural language processing<br />
* Diagram understanding<br />
* Visual knowledge extraction and visual reasoning<br />
<br />
And more…. <br />
<br />
AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission. These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting AI2’s research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations. <br />
<br />
'''Applicant'''<br />
<br />
Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, computer vision and machine learning, or question answering and explanation. We look favorably upon extensive work experience and publishing demonstrating application of your research. <br />
<br />
'''Why AI2'''<br />
<br />
In addition to AI2’s core mission of being a leader in the field of AI research, we also aim to create a superb team environment and to invest in each team member’s personal development. Some highlights are:<br />
<br />
* We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is a place where you will have opportunities to continue learning right alongside us;<br />
* We value diversity of thought – we seek Research Scientists who can bring novel experiences and modes of problem solving to our leading-edge mission. If you are creative and efficient in your approach and insightful in your questioning, AI2 could be a great environment for you;<br />
* We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave;<br />
* We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures;<br />
* We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, we have the defending Super Bowl champions, and we have so much else. We even have kayaks for you to paddle right outside our front door;<br />
* We are friendly – chances are you will like every one of the 30+ (and growing!) people who work here. We do!<br />
<br />
'''Application Process'''<br />
<br />
Visit our website for more information: http://allenai.org/jobs.html<br />
<br />
<br />
==Software Engineer - Machine Learning / NLP (Chinese) at SYSTRAN==<br />
<br />
* Employer: SYSTRAN<br />
* Title: Software Engineer<br />
* Topics: Machine Learning, Natural Language Processing, Machine Translation<br />
* Location: San Diego<br />
* Deadline: Open until filled<br />
* Date Posted: January 29, 2016<br />
* Contact: Apply directly at https://recruit.systrangroup.com/recruit/Portal.na<br />
<br />
SYSTRAN is currently seeking an experienced Software Engineer specializing in Machine Learning / NLP to join our R&D team in San Diego to develop machine translation systems.<br />
<br />
The ideal candidate must have a combination of research and implementation skills, including significant programming experience. Hands-on experience with machine learning, including deep neural network, text classification, statistical techniques for NLP or a related field, is highly desirable.<br />
<br />
Responsibilities include software development, experimentation, analysis of results, and building systems that combine linguistics and statistical language models for machine translation centering on Chinese language.<br />
<br />
'''Key Qualifications'''<br />
* Knowledge of natural language processing field, including but not limited to, formal grammar, syntactic parsing and morphology<br />
* Good algorithmic knowledge of machine learning<br />
* Experience writing and debugging software<br />
* Strong communications skills<br />
* Ability to work well as part of a team<br />
* Fluent in English.<br />
* Fluent in Chinese is a plus<br />
<br />
'''Education and Experience'''<br />
* MS or Ph D in Computational Linguistics / Computer Science or relevant field.<br />
* 2+ years work experience preferred<br />
<br />
'''Benefits'''<br />
* Successful candidates will be offered a competitive salary based on their qualifications and experience.<br />
<br />
<br />
==Vacancy for Lecturer/Senior Lecturer/Reader at University of Dundee==<br />
<br />
* Employer: University of Dundee<br />
* Title: Lecturer/Senior Lecturer/Reader<br />
* Topics: Computational Linguistics, Language, Argumentation, Artificial Intelligence<br />
* Location: Dundee, UK<br />
* Deadline: 27 February 2016<br />
* Date Posted: 12 January 2016<br />
* Contact: Prof. Chris Reed (see http://arg.tech/lecturer)<br />
<br />
£34,576 to £55,389 Full Time, Permanent<br />
<br />
The University of Dundee’s School of Science & Engineering is advertising several permanent posts including one covering the Centre for Argument Technology. We are particularly keen to receive applications from candidates in Computational Linguistics to expand the group’s research in Argument Mining (see http://argmining2016.arg.tech and http://arg.tech/am), but welcome applications in all areas of the overlap between argumentation and artificial intelligence. A strong publication profile is essential, and for more senior appointments, so is a track record of funding success.<br />
<br />
For further information about the Centre for Argument Technology, please see http://arg.tech or contact Prof. Chris Reed; for more information about the position, see http://arg.tech/lecturer. General details follow.<br />
<br />
'''Summary of Job Purpose and Principal Duties'''<br />
<br />
The University of Dundee is seeking an exceptional candidate to join one of our Computing research groups, based within the School of Science and Engineering. The successful candidate will develop new research lines within either the (i) Human Centred Computing Group; (ii) the Centre for Argument Technology; or (iii) the Space Technology Centre. Full information on the current research in each<br />
group can be found in the Further Particulars.<br />
<br />
The successful candidate is expected to have a strong track record of research and a clear research plan that articulates with (or expands significantly) one of these areas. They will be expected to contribute to the development of research in this area by publishing in the highest quality journals and attracting appropriate research funding. For appointments at Grade 8 and 9, candidates are expected to show evidence of having attracted independent funding. The School encourages applications from holders of personal<br />
Fellowships.<br />
<br />
Additionally, the successful candidate will be expected to take an active role in the teaching of undergraduate computing programmes as well as supporting teaching at Masters level.<br />
<br />
'''Job Summary'''<br />
<br />
The appointee will be expected to contribute to research in Computing and to teaching and administration within the School of Science and Engineering. They will be expected to:<br />
<br />
* Contribute to the ongoing research in one of the three research groups described above.<br />
* Contribute to the generation of external research funding.<br />
* Publish in high quality research journals and major international conferences.<br />
* Teach at undergraduate and post-graduate level.<br />
* Supervise students at all levels (honours and MSc projects, PhD).<br />
* Undertake administrative duties.<br />
<br />
'''Application Requirements'''<br />
<br />
In addition to the online form, applicants must include with their application:<br />
<br />
* Cover letter outlining fit to role.<br />
* Research plan (1-2 pages) covering proposed research over the first three years of the appointment.<br />
* Teaching plan (1-2 pages) outlining fit to current teaching at Dundee and teaching methodology.<br />
<br />
<br />
==Postdoctoral Fellow in Computational Models of Reasoning / Intelligence Systems Section at AI Center / US Naval Research Laboratory==<br />
* Employer: US Naval Research Laboratory<br />
* Title: Postdoctoral Research Fellow<br />
* Topics: Reasoning, Computational Modeling, Language, Artificial Intelligence<br />
* Location: Washington, DC<br />
* Deadline: Open until filled<br />
* Date Posted: January 20, 2016<br />
* Contact: Sunny Khemlani (sunny.khemlani@nrl.navy.mil)<br />
<br />
'''Research focus''': The Postdoctoral Fellow will collaborate on various projects in reasoning, including (but not limited to) building a unified computational framework of reasoning; investigating how people engage in explanatory reasoning; and testing a system that reasons about time and temporal relations.<br />
<br />
'''Supervisor''': Sunny Khemlani, PhD<br />
<br />
'''Key qualifications''': A Ph.D. in cognitive psychology, cognitive science, or computer science, with experience in higher level cognition, experimental design and data analysis, or cognitive modeling. Experience with theories of reasoning, computer programming, and cognitive modeling is a strong plus.<br />
<br />
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance.<br />
<br />
'''Program and compensation''': The Fellowship operates through the NRC Research Associateship Program (http://sites.nationalacademies.org/pga/rap/). Only US citizenship or green card holders are eligible for the program. Fellows are compensated through a research stipend of ~$75,000/year.<br />
<br />
'''To apply''': Send a cover letter and CV to Dr. Sunny Khemlani at sunny.khemlani@nrl.navy.mil.<br />
<br />
<br />
==Internship positions available at Juji, Inc.==<br />
* Employer: Juji, Inc.<br />
* Title: Intern<br />
* Location: Saratoga, CA<br />
* Deadline: open until all the positions are filled<br />
* Date Posted: January 14, 2016<br />
<br />
'''Description''': <br />
Have you ever watched the movie Her? Have you ever wondered or wished to have a virtual partner just like Samantha, who could tell you what you really are, whom your best partner may be, and even cheers you up? At Juji, we are building a hyper-personalized, virtual REP (Responsible, Empathetic Pal) for everyone. Your REP not only understands who you are, including your personality, motivations, and strengths, but it can also chat with you to learn and help fulfill your certain needs. <br />
<br />
We are seeking highly motivated and talented students, who are eager to help us tackle great technical challenges at Juji and to expand their knowledge and skills in the real world. We are especially interested in students who have had worked or love to work in the following areas: Artificial Intelligence, Natural Language Processing/Natural Language Generation, Machine Learning, Human-Computer Interaction, Information Visualization/Visual Analytics, and Cognitive Science.<br />
<br />
We have multiple positions on two main tracks:<br />
<br />
* Software development. If you love to create amazing software technologies and systems for real users, this is the track for you. You are expected to own and deliver a relatively independent project that will contribute to our cutting-edge product development effort.<br />
<br />
* Scientific research. If you love to design and conduct scientific experiments to answer a specific set of research questions, this is the track for you. You will work on a government funded research project on understanding human trust in a digital environment. You are expected to play a critical role in designing and conducting novel research studies and writing papers that lead to scientific publications.<br />
<br />
'''Qualifications'''<br />
Outstanding current students towards a bachelor or higher degree in the area of Computer Science, Computer Engineering, or equivalent disciplines are encouraged to apply. Strong software development or visual design skills are a plus. <br />
<br />
'''To apply''': Please email a copy of your resume to the following address: jobs@juji-inc.com with a subject line “Summer Internship 2016”, and state your track preference in your email body. <br />
<br />
<br />
<br />
==Postdoctoral Fellow in Natural Language Processing / AI at Brigham and Women's Hospital / Harvard Medical School==<br />
* Employer: Brigham and Women's Hospital / Harvard Medical School<br />
* Title: Postdoctoral Research Fellow<br />
* Topics: Natural Language Processing, Artificial Intelligence, Predictive Modeling<br />
* Location: Boston, MA<br />
* Deadline: Open until filled<br />
* Date Posted: January 8, 2016<br />
* Contact: Alexander Turchin (aturchin@bwh.harvard.edu)<br />
<br />
'''Research focus''': the Fellow will work in a multi-disciplinary team of artificial intelligence scientists, informaticians, biostatisticians, and clinicians on projects involving development of high-dimensional predictive models in medicine. The models will be based on data from a large integrated healthcare system and will utilize a combination of artificial intelligence and natural language processing of multiple narrative document streams.<br />
<br />
'''Supervisor''': Alexander Turchin, MD, MS, FACMI<br />
<br />
'''Required skills''': experience with natural language processing; ability to design and conduct effective research studies; strong analytical, scientific writing, presentation and communication skills; strong programming and system development skills. Experience with artificial intelligence technologies, predictive modeling, Big Data and medical terminologies / ontologies is a strong plus.<br />
<br />
'''Education''': PhD in computer science, biomedical informatics, linguistics, or a related discipline; MD or an equivalent degree.<br />
<br />
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.<br />
<br />
'''Available''': Immediately.<br />
<br />
'''Compensation''': according to NIH (NRSA) stipend levels.<br />
<br />
'''To apply''': send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=Employment_opportunities_posted_2016&diff=11856Employment opportunities posted 20162017-05-02T17:42:04Z<p>Pdturney: Created page with "* This is an archive of employment opportunities that were posted in 2015. == Research Scientist Intern at Adobe Research, San Jose, California == *Employer: Adobe Systems I..."</p>
<hr />
<div>* This is an archive of employment opportunities that were posted in 2015.<br />
<br />
<br />
== Research Scientist Intern at Adobe Research, San Jose, California ==<br />
*Employer: Adobe Systems Incorporated<br />
*Title: Research Scientist Intern <br />
*Speciality: NLP, machine learning and dialog.<br />
*Location: San Jose, CA, USA<br />
*Deadline: March 1, 2017<br />
*Date posted: January 23, 2017<br />
*Contact: bui@adobe.com<br />
<br />
We are looking for PhD students with background in NLP, machine learning, dialog to work on 2 following projects:<br />
1) Deep reinforcement learning for creative assistant<br />
2) Reading order text extraction for PDF documents<br />
<br />
== Assistant/Associate Professor Position in NLP/IR/Text/ML at University of California - Davis ==<br />
*Employer: University of California - Davis<br />
*Title: Assistant/Associate Professor <br />
*Speciality: All areas of NLP/Text/IR/ML etc including those involved in multi-media analysis.<br />
*Location: Davis, CA, USA<br />
*Deadline: January 2, 2017<br />
*Date posted: December 27, 2016<br />
*Contact: davidson@cs.ucdavis.edu<br />
<br />
The Department of Computer Science at the University of California at Davis invites applications for a faculty position at the rank of Assistant or Associate Professor in Computer Science, for appointments with a start date in Spring 2017, or later. We are targeting excellent candidates in all areas of machine learning and computational linguistics, with a special emphasis on all aspects of natural language processing, information retrieval, text analytics and text mining. The campus is especially interested in candidates who can contribute to the diversity and excellence of the academic community through their research, teaching, and service.<br />
<br />
Applications received by 2nd January 2017 will receive full consideration. For further information see http://www.cs.ucdavis.edu/blog/faculty-employment-positions-2/<br />
<br />
<br />
<br />
<br />
<br />
==Postdoctoral Fellow in Natural Language Processing / Machine Learning at Brigham and Women's Hospital / Harvard Medical School==<br />
* Employer: Brigham and Women's Hospital / Harvard Medical School<br />
* Title: Postdoctoral Research Fellow<br />
* Topics: Natural Language Processing, Machine Learning, Predictive Modeling<br />
* Location: Boston, MA<br />
* Deadline: Open until filled<br />
* Date Posted: December 23, 2016<br />
* Contact: Alexander Turchin (aturchin@bwh.harvard.edu)<br />
<br />
'''Research focus''': the Fellow will work in a multi-disciplinary team of artificial intelligence scientists, informaticians, biostatisticians, and clinicians led by Dr. Leonid Perlovsky (http://www.leonid-perlovsky.com/) and Dr. Alexander Turchin (https://connects.catalyst.harvard.edu/Profiles/display/Person/14588) on projects involving development of high-dimensional predictive models in medicine. The models will be based on data from a large integrated healthcare system and will utilize a combination of artificial intelligence and natural language processing of multiple narrative document streams.<br />
<br />
'''Supervisor''': Alexander Turchin, MD, MS, FACMI; Leonid Perlovsky, PhD<br />
<br />
'''Required skills''': strong mathematical background in statistics and machine learning; experience working with large datasets; experience with natural language processing; ability to design and conduct effective research studies; strong analytical, scientific writing, presentation and communication skills; strong programming and system development skills. Experience with predictive modeling, medical terminologies / ontologies, python, MATLAB and Apache Spark is a strong plus.<br />
<br />
'''Education''': PhD in computer science, biomedical informatics, or related discipline or an equivalent degree.<br />
<br />
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.<br />
<br />
'''Available''': Immediately.<br />
<br />
'''Compensation''': according to NIH (NRSA) stipend levels (https://grants.nih.gov/grants/guide/notice-files/NOT-OD-16-131.html).<br />
<br />
'''To apply''': send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.<br />
<br />
<br />
== PhD Scholarship / Enhancing Scientific Text Summarization / Barcelona ==<br />
*Title: PhD Scholarship / Enhancing Scientific Text Summarization with Academic Social Networks<br />
*Location: Barcelona, Spain<br />
*Deadline: February 2nd, 2017<br />
*Date posted: December 12, 2016<br />
*Contact: horacio.saggion@upf.edu<br />
<br />
In the context of the Marie-Curie PhD InPhiNIT La Caixa program associated to the Maria de Maeztu Strategic Research Program, we are looking for a highly motivated PhD candidate in the area of Natural Language Processing to work in a project dealing with Scientific Text Summarization and Academic Social Networks. <br />
<br />
The PhD will be carried out at the TALN research group of the Department of Information and Communication Technologies (DTIC), Universitat Pompeu Fabra (UPF) in Barcelona.<br />
<br />
The PhD student should have background in Natural Language Processing with a solid knowledge of statistics, mathematics, computer programming and machine learning. Experience in Information Extraction, Text Summarization, or related areas would be appreciated.<br />
<br />
Brief description of the project:<br />
<br />
http://www.dtic.upf.edu/~hsaggion/scientific_summarization_social.html<br />
<br />
How and where to apply (InPhiNIT program):<br />
<br />
https://obrasociallacaixa.org/en/educacion-becas/becas-de-posgrado/inphinit/programme-description<br />
<br />
<br />
<br />
The TALN research group:<br />
<br />
http://taln.upf.edu/<br />
<br />
Maria de Maeztu Strategic Research at DTIC:<br />
<br />
https://www.upf.edu/web/mdm-dtic/description<br />
<br />
http://ec.europa.eu/research/mariecurieactions/<br />
<br />
Other:<br />
<br />
You can contact Prof. Horacio Saggion for more information about the project.<br />
<br />
Related information:<br />
<br />
https://www.upf.edu/web/mdm-dtic/projects/-/asset_publisher/Ef1was9TxNY4/content/id/4113025#.WE6ZIH23nm4<br />
<br />
http://taln.upf.edu/pages/coling2016tutorial/<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
== Lecturer/Senior Lecturer openings in Artificial Intelligence and Machine Learning at Imperial College London, UK ==<br />
*Employer: Department of Computing, Imperial College London<br />
*Title: Lecturer/Senior Lecturer openings in Artificial Intelligence and Machine Learning<br />
*Speciality: Artificial Intelligence and Machine Learning, including (but is not limited to): machine learning for text and speech.<br />
*Location: London, UK<br />
*Deadline: January 16, 2017<br />
*Date posted: December 8, 2016<br />
*Contact: margaret.hall@imperial.ac.uk<br />
<br />
The Department of Computing at Imperial College London invites applications for full-time faculty members at the Lecturer/Senior Lecturer level (comparable to American tenure-track Assistant Professorships) who can contribute to research and teaching, in particular in the area of Artificial Intelligence and Machine Learning. This includes (but is not limited to): autonomous systems; knowledge representation and reasoning; planning; machine learning for speech, audio and text; optimization and data mining.<br />
<br />
Notwithstanding the above focus, exceptional candidates from any area of Computer Science are also encouraged to apply.<br />
<br />
The deadline for applications is 16th January 2017. For further information see http://www.imperial.ac.uk/computing/job-vacancies/<br />
<br />
<br />
== Research Fellow in Biomedical Text Mining, University of Manchester, UK ==<br />
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK<br />
*Title: Research Fellow<br />
*Speciality: Natural Language Processing, Text Mining<br />
*Location: Manchester, UK<br />
*Deadline: December 18, 2016<br />
*Date posted: November 28, 2016<br />
*Contact: sophia.ananiadou@manchester.ac.uk<br />
<br />
Applications are invited for a postdoctoral research fellow in Text Mining at the National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester. The position is for 2 years.<br />
<br />
The objective of this BBSRC funded post is to conduct research into extracting complex information (entities and events) from the scientific literature to support metabolic model development.<br />
<br />
Candidates should have a PhD in Computer Science with emphasis in Natural Language Processing/Text Mining; working experience in biomedical text mining (event extraction); excellent knowledge in developing and adapting algorithms for text mining systems; strong publication record; excellent programming skills.<br />
<br />
* Duration of post: 1st January 2017 to 31st December 2018<br />
* Salary: £39,324 to £48,327 per annum<br />
<br />
'''Research Environment '''<br />
<br />
The National Centre for Text Mining (http://www.nactem.ac.uk) has been a leading centre for biomedical text mining since 2004, with areas of expertise in information extraction, terminology, text classification, text mining infrastructures and semantic search systems.<br />
NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research".<br />
<br />
The project will involve close collaboration with a team of experts focusing on metabolomics and cheminformatics.<br />
More information about the project: http://www.nactem.ac.uk/empathy/<br />
<br />
Informal enquiries: Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk).<br />
<br />
Application form and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=12531<br />
<br />
<br />
== Associate Research Scientist, UKP Lab, TU Darmstadt ==<br />
<br />
* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany<br />
* Title: Associate Research Scientist<br />
* Specialty: NLP<br />
* Location: Darmstadt<br />
* Deadline: December 12, 2016<br />
* Date posted: November 23, 2016<br />
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de Prof. Iryna Gurevych]<br />
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The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has two openings for an<br />
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'''Associate Research Scientist'''<br /><br />
'''(PostDoc- or PhD-level; for an initial term of two years)'''<br />
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to strengthen the group’s profile in the areas of Interactive Machine Learning (IML) or Computational Argumentation (CA). The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP), of which Interactive Machine Learning and Computational Argumentation are the rapidly developing focus areas in collaboration with partners in research and industry. <br />
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We ask for applications from candidates in Computer Science with a specialization in Machine Learning or Natural Language Processing, preferably with expertise in research and development projects, and strong communication skills in English and German. <br />
- The successful applicant in the area of interactive machine learning will work on research activities regarding its application to end-user content annotation, information structuring and recommendation, or semantic text analysis, and development activities to create the corresponding product prototypes. <br />
- The successful applicant in the area of Computational Argumentation will work on research activities in analyzing the discourse of future professionals while reasoning to automatically access their argumentation quality given small amounts of training data, and development activities for the research prototype. <br />
Prior work in the above areas is a definite advantage. Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP and/or ML) systems, experience in information retrieval, large-scale data processing and large-scale knowledge bases, and strong programming skills incl. Java. Experience with neural network architectures is a strong plus. Combining fundamental NLP research on Interactive Machine Learning or Computational Argumentation with practical applications in different domains will be highly encouraged.<br />
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UKP’s wide cooperation network both within its own research community and with partners from research and industry provides an excellent environment for the position to be filled. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web” and the Research Training Group [https://www.aiphes.tu-darmstadt.de “Adaptive Information Processing of Heterogeneous Content” (AIPHES)] funded by the DFG emphasize NLP, machine learning, text mining, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest industrial standards, cooperative work style and close interaction of team members working on common goals.<br />
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Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available). <br />
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Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please send the applications to: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by 15.12.2016. The positions are open until filled. Later applications may be considered if the position is still open.<br />
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== One Teaching Track and One Tenure Track position open at the Language Technologies Institute at Carnegie Mellon University (Pittsburgh, PA USA) ==<br />
Employer: Language Technologies Institute, School of Computer Science, Carnegie Mellon University<br />
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Title: Assistant Teaching Professor and Assistant Professor<br />
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Specialty: Natural Language Processing, Computational Linguistics, Machine Learning and Statistical Methods for NLP, Social Media Analysis<br />
* Deadline: January 3, 2017<br />
* Date posted: 10th November 2016<br />
* Contact: [mailto:cprose@cs.cmu.edu Dr. Carolyn P.Rose]<br />
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The Language Technologies Institute (LTI) in the School of Computer Science (SCS) at Carnegie Mellon University invites applications for teaching-track and tenure-track positions, beginning Fall 2017. LTI is an academic department dedicated to the study of human language and information technologies, with approximately thirty faculty members. LTI is one of seven departments within SCS, which has over 200 tenure-track, research, and teaching faculty with expertise spanning traditional computer science, human computer interaction, language technologies, machine learning, computational biology, software engineering, and robotics. SCS offers a highly collaborative and uniquely interdisciplinary environment that promotes innovation and entrepreneurship in both teaching and research. <br />
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The teaching track is a career-oriented, renewable appointment with an initial appointment of three years. Initial teaching-track appointments are typically at the rank of Assistant Teaching Professor, with the possibility of promotion to the ranks of Associate Teaching Professor and Teaching Professor. These ranks are not tenured, but they do provide substantial opportunities for professional growth and long-term contributions to Language Technologies education at Carnegie Mellon University. Teaching track faculty contribute to the design of new curricula and the adoption of new teaching methods.<br />
For more information about this position, see: http://lti.cs.cmu.edu/teaching-track-faculty-position<br />
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We are also seeking to hire on the tenure track. Tenure track appointments are typically at the rank of Assistant Professor, with the possibility of promotion to the ranks of Associate Professor and Professor. Tenure-track applicants must have strong interests and accomplishments in both research and teaching. For more information about this position, see: http://lti.cs.cmu.edu/tenure-track-faculty-position<br />
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== One Post-doctoral position in Statistical Machine Translation in CUNY (at Manhattan, NYC) ==<br />
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Employer: Department of Computer Science at Hunter College, University of New York<br />
Title: post-doctoral position<br />
Specialty: Machine Translation <br />
Location: Manhattan, NYC, NY<br />
* Deadline: Open until filled <br />
* Date posted: 6th November 2016<br />
* Contact: [mailto:Jia.Xu@hunter.cuny.edu Dr. Jia Xu]<br />
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The Statistical Machine Learning and Translation group of Dr. Xu at the City University of New York is inviting applications for one post-doctoral position. This is a splendid opportunity to conduct research blending very applied research (i.e. industrial-level Machine Translation systems) with foundational research in statistical machine learning. Dr. Xu’s group has an excellent record (e.g. winning first-place) in the international machine translation competitions during the last decade. The current research has evolved into exciting areas beyond statistical machine translation, such as in the foundations of machine learning and in frameworks in understanding the underlying geometry of languages.<br />
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Applicants should hold by the time the appointment begins a PhD (or its equivalent) in Computer Science, Computer Engineering, Statistics, Mathematics, Physics or in a related discipline. We are seeking for applicants committed to either (1) extending their current research program in statistical Natural Language Processing or (2) employing their analytical and engineering skills and join in our current research program. Therefore, this position can be also seen as an opportunity to fast-forward develop statistical NLP skills and conduct cutting-edge research in this field.<br />
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The position is for 1 year with the possibility of extending it up to 3 years. The starting date is flexible.<br />
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The Hunter College at the City University of New York may ask the post-doctor to take up a very moderate teaching load (can be waived based on research promise). The salary commensurate with qualifications and research potential and starts from $50K/year.<br />
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Hunter college is located in upper-east Manhattan. This is an extremely vibrant research location with numerous opportunities for collaboration. Hunter college is surrounded by top research labs (e.g. Google Research, Microsoft Research, Facebook, IBM Research), and many other university departments (e.g. Princeton, Columbia, NYU).<br />
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Applications should include a recent CV and optionally a research statement and 2 representative publications. Applications should be sent to Dr. Jia Xu by email to: jia.xu@hunter.cuny.edu including in the Subject title the keyword: “Application”.<br />
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All applicants will be notified upon receipt of the application by email.<br />
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This position will be advertised at http://jiaxu.org until is filled.<br />
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Hunter is committed to a policy of equal employment and equal access in its educational programs and activities. Diversity, inclusion, and an environment free from discrimination are central to the mission of the City University of New York.<br />
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== Three fully funded PhD Positions in Statistical Natural Language Processing in CUNY (at Manhattan, NYC) ==<br />
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Employer: Department of Computer Science at Hunter College, University of New York<br />
Title: fully-funded PhD position<br />
Specialty: NLP<br />
* Location: Manhattan, NYC, NY<br />
* Deadline: Open until filled <br />
* Date posted: 6th November 2016<br />
* Contact: [mailto:Jia.Xu@hunter.cuny.edu Dr. Jia Xu]<br />
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The Statistical Machine Learning and Translation group of Dr. Xu at the City University of New York is inviting applications for fully-funded PhD student positions starting in 2017. This is a splendid opportunity to conduct research blending very applied research (i.e. industrial-level Machine Translation systems) with foundational research in statistical machine learning. Dr. Xu’s group has an excellent record (e.g. winning first-place) in the international machine translation competitions during the last decade. The current research has evolved into exciting areas beyond statistical machine translation, such as in the foundations of machine learning and in frameworks in understanding the underlying geometry of languages.<br />
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Applicants should hold by the time that begin their PhD studies a BSc, BEng (or its equivalent) in Computer Science, Linguistics, Computer Engineering, Statistics, Mathematics, Physics or related disciplines. We are seeking for very motivated students with enthusiasm and dedication in conducting cutting-edge research in statistical methods over massive amounts of data. Natural Language Processing is the prototypical domain where Machine Learning and Big Data are required to come together.<br />
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The typical duration of the PhD program is from 3 to 4 years. <br />
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The Hunter College at the City University of New York asks that the PhD candidate should take up two teaching assistantships per year. The admitted student will be offered to have the tuition fees covered and also stipend sufficient to cover the living cost.<br />
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Hunter college is located in upper-east Manhattan. This is an extremely vibrant research location with numerous opportunities for internships and collaboration. Hunter college is surrounded by top research labs, such as Google Research, Microsoft Research, Facebook, and IBM Research.<br />
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Application material: CV and optionally a statement of purpose letter, GRE, and TOELF/IELTS results. Applications should be sent to Dr. Jia Xu by email to: Jia.Xu@hunter.cuny.edu including in the Subject title the keyword: “PhD".<br />
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All applicants will be notified upon receipt of the application by email.<br />
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This position will be advertised at http://jiaxu.org until the position is filled.<br />
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Hunter is committed to a policy of equal employment and equal access in its educational programs and activities. Diversity, inclusion, and an environment free from discrimination are central to the mission of the City University of New York.<br />
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== Funded PhD Position in Natural Language Processing in Barcelona ==<br />
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* Employer: Department of Information and Communication Technologies at Universitat Pompeu Fabra<br />
* Title: PhD studentship position<br />
* Specialty: NLP<br />
* Location: Barcelona, Spain<br />
* Deadline: August 8th, 2016 (or until filled) <br />
* Date posted: 29th July 2016<br />
* Contact: [mailto:horacio.saggion@upf.edu Prof. Horacio Saggion]<br />
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The Department of Information and Communication Technologies at Universitat Pompeu Fabra in Barcelona, Spain, invites applications for a PhD studentship position that is associated with the María de Maeztu Units of Excellence Research Program of the Spanish Government (http://www.upf.edu/mdm-dtic), and involves joint work of the research labs of profs. Horacio Saggion and Ricardo Baeza-Yates. This position will be funded under the FPI call to be launched by the Spanish Ministry of Economy and Competitiveness.<br />
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Project Description<br />
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In the context of our Maria de Maeztu (MdM) project "Mining the Knowledge of Scientific Publications" ( see http://www.upf.edu/mdm-dtic) the PhD student will carry out a research project on the more focused area of automatic research paper assessment which concerns a number of interesting research questions including but not limited to: <br />
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* automatic research paper evaluation<br />
* automatic research paper/author impact prediction<br />
* automatic novelty evaluation<br />
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The PhD will benefit from the resources developed during MdM project: availability of large scale open scientific repositories, natural language processing technology adapted to scientific text processing, document retrieval technology, etc. as well as the expertise of the MdM team members.<br />
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Applicants<br />
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Candidates should hold a M.Sc. in Computer Science or related field with a solid background in Natural Language Processing and be proficient in spoken and written English. Experience with recent advances in Machine Learning and Information Retrieval would be highly valuable. Knowledge of statistical analysis is highly desirable.<br />
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More information<br />
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For informal inquiries, prospective candidates may contact professor Horacio Saggion at horacio DOT saggion AT upf DOT edu <br />
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For more information please check the official announcement at <br />
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https://portal.upf.edu/web/etic/automatic-research-assessment?p_p_id=56_INSTANCE_MaAxd6TFfhia&p_p_lifecycle=0&p_p_state=normal&p_p_mode=view&p_p_col_id=column-1&p_p_col_count=1<br />
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== Research Fellow in Biomedical Text Mining, University of Manchester, UK ==<br />
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK<br />
*Title: Research Fellow<br />
*Speciality: Natural Language Processing, Text Mining<br />
*Location: Manchester, UK<br />
*Deadline: August 13, 2016<br />
*Date posted: July 18, 2016<br />
*Contact: sophia.ananiadou@manchester.ac.uk<br />
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Applications are invited for a postdoctoral research fellow in Biomedical Text Mining at the National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester.<br />
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The objective of this BBSRC funded post in collaboration with Unilever is to conduct research into extracting complex information from the scientific literature to support metabolic pathway curation using text mining methods. <br />
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Candidates should have a PhD in Computer Science with emphasis in Natural Language Processing/Text Mining; working experience in information extraction at large scale; excellent knowledge in developing and adapting algorithms for text mining systems; machine learning; experience in biomedical Text Mining; strong track record of high-quality papers in conferences such as ACL, EMNLP, etc., and in high quality journals; excellent programming skills; proven ability to develop independently research proposals. <br />
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* Duration of post: until 31st March 2018 with possibility of extension<br />
* Salary: £38,896 to £47,801 per annum<br />
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'''Research Environment '''<br />
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The National Centre for Text Mining (http://www.nactem.ac.uk) has been a leading centre for biomedical text mining since 2004, with areas of expertise in information extraction, terminology, text classification, text mining infrastructures and semantic search systems.<br />
NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research".<br />
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The project will involve close collaboration with a team of experts focusing on metabolomics and cheminformatics.<br />
More information about the project: http://www.nactem.ac.uk/empathy/<br />
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Informal enquiries: Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk).<br />
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Application form and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=11856<br />
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== Computational Linguist-Morphology ==<br />
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* Employer: [http://www.edcknowledge.com/ Esprit de Corps Corporation (EdC)], US<br />
* Title: Computational Linguist-Morphology<br />
* Specialty: Application of Finite State Transducers (FST) to language processing technologies, development of FST networks for languages, integration of morphological analyzers.<br />
* Location: Various US Locations<br />
* Deadline: Open<br />
* Date posted: June 19, 2016<br />
* Contact: [mailto:jlay@edcknowledge.com. Jim Lay]<br />
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EdC provides linguistic and cultural insight in support of US national interests. We are a woman owned, small business, and an equal opportunity employer.<br />
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The Computational Linguist-Morphology provides unique expertise with the application of FST to language processing technologies, to include the development of FST networks for languages, the integration of morphological analyzers in multilingual databases/search engines and the development of APIs for managing FST I/O in a multilingual environment.<br />
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''Qualifications''<br />
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*A master's degree in computer science and/or linguistics, or in a related field; eight (8) years related experience in FST technologies for language applications may be substituted for a master's degree.<br />
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*Within the last ten (10) years, shall have a minimum of seven (7) years experience programming language networks in one or more FST applications such as XSFT, Stuttgart Finite State Transducer Toolkit, OpenFST, FOMA, or other product with equivalent functional capabilities.<br />
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*Shall have a minimum of five (5) years experience coding with two (2) or more of the following: C, C++, or Java. Shall also have a minimum of five (5) years experience with Perl and/or Python scripting languages.<br />
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*Within the last ten (10) years, shall have a minimum of five (5) years experience with linguistics and language structure, language processing technologies, and/or with applying morphologies to multilingual databases/search engines.<br />
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*Shall have a minimum of five (5) years experience with two (2) or more foreign languages. Shall have demonstrated experience with international encodings, to include converting and handling multilingual encoding, such as UTF-8.<br />
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''Applicants must be United States citizens able to acquire a personal security clearance.''<br />
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For more information about the post and for '''applications''': http://edcknowledge.com/join-the-corps-2/, Search and apply for the position titled "Computational Linguist-Morphology".<br />
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== Computational Linguist ==<br />
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* Employer: [http://www.edcknowledge.com/ Esprit de Corps Corporation (EdC)], US<br />
* Title: Computational Linguist<br />
* Specialty: Integration of NLP Modules, Experimentation with User Interfaces for Analytic Support, Web Services for Querying Extracted Results.<br />
* Location: Various US Locations<br />
* Deadline: Open<br />
* Date posted: June 19, 2016<br />
* Contact: [mailto:jlay@edcknowledge.com. Jim Lay]<br />
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EdC provides linguistic and cultural insight in support of US national interests. We are a woman owned, small business, and an equal opportunity employer.<br />
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The Computational Linguist provides unique expertise with the application of computer science to language processing technologies, to include experimentation with, and integration of, unique NLP modules, experimentation with user interfaces for analytic support, web development, and development of web services for querying extracted results. <br />
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''Qualifications''<br />
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*MA in computer science and/or linguistics, or in a related field (8 years related experience may be substituted for a Master's Degree). <br />
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*Within the last 10 years shall have a minimum of 7 years experience each programming: C, C++, or Java.<br />
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*Within the last 5 years, shall have a minimum of 3 years programming with two or more scripting languages (e.g. Perl, Python).<br />
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*Within the last 10 years, shall have a minimum of 5 years experience with linguistics and language structure, language processing technologies, and/or with applying ontologies to NLP applications. <br />
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*A minimum of 5 years experience with two or more foreign languages is required. <br />
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*Shall have demonstrated experience developing software in a Linux environment, with Semantic Web technologies (e.g. RDF, OWL), and with international encodings, to include converting and handling multilingual encoding, such as UTF - 8 is required.<br />
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''Applicants must be United States citizens able to acquire a personal security clearance.''<br />
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For more information about the post and for '''applications''': http://edcknowledge.com/join-the-corps-2/, Search and apply for the position titled "Computational Linguist".<br />
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== Research Associate/Fellow in Machine Learning, University of Sheffield, UK ==<br />
* Employer: [http://www.sheffield.ac.uk/ University of Sheffield], UK<br />
* Title: Research Associate/Fellow<br />
* Specialty: ML<br />
* Location: Sheffield<br />
* Deadline: July 18, 2016<br />
* Date posted: June 17, 2016<br />
* Contact: [mailto:l.specia@sheffield.ac.uk Prof. Lucia Specia]<br />
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We have an opening for a 3-year position of Research Associate or Research Fellow in Machine Learning with applications to Machine Translation and Multimodal Language Processing. This position is funded by the ERC MultiMT project: Multi-modal Context Modelling for Machine Translation, led by Prof. Lucia Specia (www.dcs.shef.ac.uk/~lucia) at the University of Sheffield.<br />
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This is a highly interdisciplinary project involving Natural Language Processing, Computer Vision and Machine Learning. Its goal is to devise methods and algorithms to exploit global multi-modal information for context modelling in Machine Translation. The post holder will be expected to investigate new ways to acquire multilingual multi-modal representations, and new machine learning and inference algorithms that can learn from these rich context models to generate high quality translations. In addition, if appointed as Research Fellow, the post holder will be expected to make significant contributions to multi-modal language processing in general, drawing from their experience in Computer Vision and Natural Language Processing.<br />
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This is an opportunity to work in a well-connected international team with world-leading reputation in the Natural Language Processing (NLP) research group at the University of Sheffield. The NLP group is well known internationally for its research, and is one of the largest research groups in the area in Europe.<br />
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This post offers excellent opportunities for publications, project visits and conference trips. Applicants should have (for Research Associate (RA) and Research Fellow (RF) posts):<br />
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* PhD (or equivalent work experience) in Computer Science, Statistics, Mathematics or related areas<br />
* Significant experience and track record in Machine Learning (RA and RF)<br />
* Strong publication record commensurate with career stage (RA and RF)<br />
* Experience and strong track record in Computer Vision (desirable for RA, required for RF)<br />
* Experience and strong track record in Natural Language Processing (desirable for both RA and RF)<br />
* Strong programming experience, particularly in Python or C++. (RA and RF)<br />
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This post is fixed-term with a start date from August 2016 (or soon after) and duration of ''3 years'' with possibility of extension to ''5 years''.<br />
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'''Salary range''': £28,847 to £46,414 per annum.<br />
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For informal inquiries contact Dr. Lucia Specia: L.Specia@sheffield.ac.uk<br />
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For more information about the post and for '''applications''': http://www.shef.ac.uk/jobs, Search and apply for jobs using reference number UOS014018<br />
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== Doctoral Researcher at UKP/KRITIS, TU Darmstadt ==<br />
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* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany<br />
* Title: Doctoral researcher<br />
* Specialty: NLP<br />
* Location: Darmstadt<br />
* Deadline: July 10, 2016<br />
* Date posted: June 10, 2016<br />
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de Prof. Iryna Gurevych]<br />
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KRITIS ("Kritische Infrastrukturen: Konstruktion, Funktionskrisen und Schutz in Städten"), a new interdisciplinary research training group at Technsiche Universität Darmstadt and funded through the German Research Foundation, is currently seeking a '''Doctoral Researcher''' to start on 1 October 2016.<br />
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KRITIS researches systems for technical supply and disposal, and for communication and transport, which have become the central nervous system of modern cities. Their disruption can trigger dramatic crises. Modern city infrastructures are increasingly vulnerable not only to external threats (natural disasters, terrorist attacks, and cyber attacks) but also due to their inherent complexity and interdependence. Our aim is to understand and describe these complex systems in their spatial and temporal contexts. This is done in three main research areas:<br />
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# We want to ensure that technical infrastructures are constructed with the term "critical" in mind. We therefore ask what technical-functional needs, and political and social considerations, are relevant, and how these vary according to the systems' historical and spacial context.<br />
# We assume that the complex spatial and temporal arrangements become particularly visible during infrastructural-functional crises. We therefore investigate failures of urban infrastructures, including the conditions contributing to their vulnerability or resilience.<br />
# Finally, we ask how we can best organize protection against or preparation for infrastructural-functional crises (so-called "prevention and preparedness").<br />
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Research in the training group takes an interdisciplinary approach, with cooperation among the following specialities: space and infrastructure planning, modern and contemporary history, medieval history, philosophy of technology, comparative analysis of political systems, ubiquitous knowledge processing, urban design and planning, rail systems, and computer science for architecture and construction.<br />
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In this area, the discipline of ubiquitous knowledge processing (Prof. Iryna Gurevych) is concerned with the interactions between urban infrastructure (e.g., transport, telecommunications), communication in social media, and the relevant spatial and temporal analysis methods from the perspective of adaptive information and text processing. This will be of particular interest to doctoral candidates in the fields of real-time text analysis which can be applied to the early detection of crises, to public opinion-making, or to crisis management through automated evaluation of (online) content such as Twitter.<br />
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Possible dissertation topics include:<br />
* Social-spatial differences of criticality: location- and class-specific text-analytic mining of argumentation on urban infrastructure in social media<br />
* Mining of arguments on urban infrastructure in social media for cascading reactions (i.e., spatio-temporal spread of social media responses to the collapse of urban infrastructure)<br />
* Early recognition of vulnerability: Real-time monitoring of information on hazards to urban infrastructure in social media<br />
* User expectations on the speed of resolution of infrastructural failures – comparison and analysis of tweets across national boundaries<br />
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For discussion or advice on further possible research topics and organizational issues, please contact Prof. Iryna Gurevych at [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de].<br />
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'''Requirements:''' The successful applicants should produce a doctoral dissertation related to one or more of the above-noted research priorities. This dissertation should be completed within three years and submitted to one of the departments of Technische Universität Darmstadt. Further information on KRITIS's scientific program and its participating professors will be available soon on the following website: [http://www.kritis.tu-darmstadt.de http://www.kritis.tu-darmstadt.de]<br />
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It is expected that all members of the research training group will be intensively engaged in interdisciplinary cooperation leading to scholarly publications and lectures. To this end, regular participation in seminars, symposia, workshops, etc. is required, which necessitates the doctoral candidates being domiciled in the Rhine-Main area.<br />
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'''Working environment and conditions:''' KRITIS offers an excellent research infrastructure for doctoral students who wish to carry out their own research project within an innovative and internationally networked program. The members of the group work in shared offices under the support and patronage of participating professors. Among the special services include the possibility of a financed stay abroad in one of four internationally renowned partner universities. We also work with various partners in the private and public sector (companies, government offices, and other organizations) at which candidates can complete internships.<br />
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Salaries for doctoral candidates depend on qualifications and experience, and will be in line with the collective agreement for employees at TU Darmstadt (TV-TU Darmstadt). The positions are limited to three years and include, depending on the field, 65% to 100% (full-time) employment.<br />
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'''Your application:''' TU Darmstadt strives to increase its number of female employees, and as such particularly encourages women to apply. All other things being equal, applicants who have a degree of disability of at least 50% (or the equivalent) will receive preference. Please prepare your application in English or German, and compressed as a single file (up to 6 MB). Applications should be sent by e-mail to Prof. Gurevych at [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by '''10 July 2016'''. The application should include a CV listing language skills and overseas experience, scanned copies of academic credentials, and a sketch of up to five pages for a doctoral project.<br />
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We look forward to receiving your application!<br />
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== Doctoral Researcher in NLP at TU Darmstadt and/or University of Heidelberg ==<br />
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* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt] and/or [http://www.uni-heidelberg.de/ Ruprecht-Karls-University Heidelberg], Germany<br />
* Title: Doctoral researcher<br />
* Specialty: NLP<br />
* Location: Darmstadt and/or Heidelberg, Germany<br />
* Deadline: June 30, 2016<br />
* Date posted: June 6, 2016<br />
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]<br />
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The Research Training Group „Adaptive Information Preparation from Heterogeneous Sources“ (AIPHES) at the Technische Universität Darmstadt and at the Ruprecht‑Karls‑University Heidelberg is filling a position for three years, starting as soon as possible: '''Doctoral Researcher in Natural Language Processing'''<br />
<br />
The position provides the opportunity to obtain a doctoral degree with an emphasis on the guiding theme D1: Multi-level models of information quality, under the leadership of Prof. Dr. Iryna Gurevych (UKP Lab, TU Darmstadt). A possible research focus of the position is an automatic claim checking with its applications in the domain of computational journalism. However, other suitable topics may be proposed as well. The funding follows the guidelines of the DFG, and the positions are paid according to the E13 public service pay scale. <br />
<br />
The goal of AIPHES is to conduct innovative research in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, and automated quality assessment are being developed. AIPHES investigates a novel scenario for information preparation from heterogeneous sources, within the application context of multi-document summarization. There exists close interaction with end users who prepare textual documents in an online editorial office and therefore profit from the results of AIPHES. <br />
<br />
Participating research groups at the Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Eckle-Kohler, Dr. Meyer), Algorithmics (Prof. Weihe), Language Technology (Prof. Biemann). Participants at the Ruprecht‑Karls‑University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of Heidelberg Institute for Theoretical Studies (HITS). Cooperating partners are the Institute for Communication and Media of the University of Applied Sciences Darmstadt and other partners in the area of online media. <br />
<br />
AIPHES emphasizes close contact between students and their advisors, has regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. The training group has the goal of publishing its results at leading scientific conferences and actively supports its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.<br />
<br />
'''Prerequisites'''<br />
<br />
We are looking for exceptionally qualified candidates with a degree in Computer Science, Computational Linguistics, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Desirable is experience in scientific work. Applicants should be able to work with German-language texts, and, if necessary, to acquire German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged. <br />
<br />
The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web” emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge. The Institute for Computational Linguistics (ICL) of the Ruprecht‑Karls‑University Heidelberg is one of the large centers for computational linguistics both in Germany and internationally. <br />
<br />
Applications should include: <br />
<br />
* a motivational letter explaining the applicant’s possible contribution to the guiding theme D1,<br />
* a CV with information about the applicant’s scientific work,<br />
* certifications of study and work experience,<br />
* as well as a thesis or other publications in electronic form.<br />
<br />
They should be submitted until June 30th, 2016 to the spokesperson of the research training group, Prof. Dr. Iryna Gurevych (Fachbereich Informatik, Hochschulstr. 10, 64289 Darmstadt) using the e-mail address [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]. <br />
<br />
== Full Professor (W3) for Real-Time Data Analytics at TU Darmstadt ==<br />
<br />
* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany<br />
* Title: Full Professor<br />
* Specialty: Real-Time Data Analytics, with interdisciplinary experience in NLP<br />
* Location: Darmstadt, Germany<br />
* Deadline: July 6, 2016<br />
* Date posted: June 1, 2016<br />
* Contact: [mailto:dekanat@informatik.tu-darmstadt.de dekanat@informatik.tu-darmstadt.de] (for applications); [mailto:gurevych@ukp.informatik.tu-darmstadt.de Iryna Gurevych] (for further information)<br />
<br />
The Department of Computer Science at Technische Universität Darmstadt invites applications for the position of '''Full Professor (W3) for Real-Time Data Analytics''' to be appointed as soon as possible.<br />
<br />
We are seeking an outstanding researcher to establish the Department’s new area of real-time data analytics through research and teaching. The main focus of the professorship will be on excellent, method-oriented research, with close links to systems and applications. It is also expected that the successful candidate plays a formative role in cross-department and interdisciplinary research activities; the bridge to engineering departments of the university, in particular to the department of mechanical engineering, is particularly important in this respect. <br />
<br />
Relevant topics include real-time data analytics on dynamic data streams of various types (including sensor data, text, and images), adaptive information processing and integration, and interactive machine learning. Further topics of research include data analysis and its applications in the mining of data and data streams of heterogeneous nature, quality, and quantity and in the support of decision-making processes, decision management, and the creation of self-organizing systems. Example application areas include automotive engineering, transport and logistics, and cognitive information processing for information validation on the Web.<br />
<br />
We expect applicants to have interdisciplinary experience in the use of data analysis methods in cooperation with scientists from other fields as well as with industrial partners. The professorship is intended to strengthen those profile areas of TU Darmstadt in which real-time requirements and interactivity play a central role, such as the Internet and digitization and their associated research fields such as data science, Industry 4.0, autonomous driving, smart transport and energy networks, smart buildings, but also '''natural language processing''', cognitive science, and cybersecurity.<br />
<br />
In addition to an outstanding academic CV, applicants must demonstrate a strong commitment to teaching computer science (incl. foundational courses) at the Bachelor’s and Master’s levels. A willingness to participate in academic self-administration is also expected.<br />
<br />
Technische Universität Darmstadt is an autonomous university with a wide-ranging excellence in research, an interdisciplinary profile, and a strong focus on engineering as well as on information and communication technologies. Our Department is one of the leading national Computer Science departments and regularly ranked in the top group in national rankings.<br />
<br />
Employment will be on a non-tariff basis, with qualification-based compensation based on the German W-level salary. Applicants who are already professors classed as German civil servants (''Beamter'') can retain this status. Employment regulations from §§61 and 62 of the ''Hessisches Hochschulgesetz'' apply.<br />
<br />
Technische Universität Darmstadt is committed to increase the proportion of female scientific staff and therefore particularly encourages women to apply. All other things being equal, we will give preference to candidates with a degree of disability of at least 50 (or the equivalent).<br />
<br />
Applications, including all the usual supporting documents, should be submitted to the Dean of the Department of Computer Science, Technische Universität Darmstadt, Hochschulstr. 10, 64289 Darmstadt, Germany, e-mail dekanat@informatik.tu-darmstadt.de. Please quote '''reference No. 244'''.<br />
<br />
For further information, please contact Prof. Dr. Iryna Gurevych, tel. [+49] (0)6151 16 25290, gurevych@ukp.informatik.tu-darmstadt.de<br />
<br />
==NLP Postdoctoral Researcher at UNSW, Australia==<br />
<br />
* Employer: The University of New South Wales, Australia<br />
* Title: Research Associate/Fellow<br />
* Specialty: NLP, Knowledge Graph<br />
* Location: Sydney, Australia<br />
* Deadline: June 6th, 2016<br />
* Date posted: May 14th, 2016<br />
* Contact: Wei Wang (weiw@cse.unsw.edu.au)<br />
<br />
'''POSITION DESCRIPTION'''<br />
<br />
A postdoctoral position is available in School of Computer Science and<br />
Engineering at the University of New South Wales, Australia. The successful<br />
candidate will work with Dr. Wei Wang on utilizing Natural language processing<br />
(NLP), data mining, and semantic web to develop novel algorithms, tools and<br />
methods for constructing and maintaining domain-specific knowledge graphs from<br />
vast amount of unstructured/semi-structured data sources. This position is<br />
funded by Data to Decisions Cooperative Research Centre (D2D CRC), which was<br />
established in 2014 with a grant of A$25 million from the Australian Government,<br />
researchers and industry to provide the Big Data capability resulting in a safer<br />
and more secure nation and a sustainable Big Data workforce for Australia.<br />
<br />
<br />
'''POSITION REQUIREMENTS'''<br />
<br />
Essential criteria:<br />
<br />
* Proven ability to undertake research in a relevant research area (e.g. natural language processing, data mining, knowledge graph) at an international level, as evidenced by research output.<br />
* Excellent programming skills (java or C/C++).<br />
* A demonstrable history of contributing to excellent publications in relevant top-tier conferences (e.g. ACL, EMNLP, KDD, IJCAI, AAAI, ICML, NIPS, SIGMOD, VLDB) and journals.<br />
* Proven ability to communicate specialist ideas clearly in English using written media.<br />
* Excellent organisational skills with a proven ability to work independently and be self-managing, to prioritise your work and meet deadlines within the framework of an agreed programme.<br />
* A PhD in Computer Science or closely related area, or equivalent experience. Candidates with pending degrees who will successfully defend their dissertations by August 1, 2016 will also be considered.<br />
<br />
<br />
Desirable criteria:<br />
<br />
* Knowledge of statistical natural language processing.<br />
* Knowledge of knowledge graph construction and applications.<br />
* Experience with analysing large text corpora using a high-performance computing environment.<br />
* Experience with python/R<br />
<br />
<br />
'''SALARY RANGE AND CONTRACT LENGTH'''<br />
<br />
* Research Associate: A$86,438 - A$92,453 per year (plus employer superannuation)<br />
* Research Fellow: A$97,090 - A$114,454 per year (plus employer superannuation)<br />
<br />
This is a fixed term position of one year with further renewal up to January 2019, subject to funding.<br />
<br />
<br />
'''ENVIRONMENT'''<br />
<br />
The School of Computer Science and Engineering in UNSW, located in Sydney, is<br />
one of the largest and leading computing schools in Australia. It offers both<br />
undergraduate and postgraduate programs in Software Engineering, Computer<br />
Engineering, Computer Science and Bioinformatics, as well as a number of<br />
combined degrees with other disciplines. It attracts excellent students who have<br />
an outstanding record in international competitions (such as Robocup).<br />
<br />
<br />
'''APPLICATION'''<br />
<br />
Please send a statement of interest, an academic CV (in pdf format) to Wei Wang<br />
(weiw@cse.unsw.edu.au) with the subject line starting with "[CRCPostdoc]". For<br />
informal queries, please send an email to weiw@cse.unsw.edu.au.<br />
<br />
<br />
<br />
<br />
<br />
<br />
==Computer Science Postdoctoral Researcher in Natural Language Processing for Social Science==<br />
<br />
* Employer: University of Pennsylvania<br />
* Title: Postdoctoral Researcher <br />
* Specialty: NLP<br />
* Location: Philadelphia, PA<br />
* Deadline: May 15th, 2016<br />
* Date posted: April 26th, 2016<br />
* Contact: Professor Lyle Ungar: ungar@cis.upenn.edu<br />
<br />
'''Summary'''<br />
<br />
We invite applicants for a postdoctoral research position in natural language processing for health and social science, working on an interdisciplinary research project studying subjective well-being and health outcomes. The researcher will help develop state-of-the-art methods and models to better understand people, such as predicting personality from the words they use and automatically recognizing cognitive distortions typical of people prone to depression. <br />
The primary responsibility will, of course, be producing top-quality published research in areas of interest to you and the WWBP team. You will be expected to lead multiple peer-reviewed publications each year and to support (as secondary author and technical expert) many more publications. As part of that latter process, we would like you to serve as the equivalent of a “Chief Technology Officer” of the WWBP, providing technical oversight and mentoring to the programmers and data scientists who build and maintain our software and hardware infrastructure, and who do the vast bulk of the data collection and analysis for the WWBP. <br />
<br />
The ideal candidate will have research experience in computational linguistics and applied machine learning. They will develop and code novel methods to leverage large datasets (i.e. billions of tweets) and use them to further our understanding of health, well-being, and the psychological states of individuals and large populations. Methods and results will be published in high impact computer science venues and, via collaboration with psychologists and medical doctors, in social science and health venues. See wwp.org for example publications.<br />
<br />
<br />
Approximate Start Date: Summer 2016<br />
<br />
<br />
'''How to Apply'''<br />
<br />
Send a detailed CV with at least 2 references who can be contacted for letters to applications@wwbp.org. Include job-code “POSTDOC-CS” in subject line. <br />
<br />
<br />
<br />
<br />
==Research Scientist, Natural Language Processing==<br />
<br />
* Employer: EMR.AI Inc.<br />
* Title: Research Scientist<br />
* Specialty: NLP<br />
* Location: San Francisco, CA<br />
* Deadline: May 20th, 2016<br />
* Date posted: April 21th, 2016<br />
* Contact: David Suendermann-Oeft ([mailto:david@emr.ai david@emr.ai])<br />
<br />
Headquartered in San Francisco, CA, EMR.AI Inc. is a leading provider of AI solutions to the medical sector. EMR.AI transforms unstructured information, in form of written, spoken, or typed reports, clinical test results, and radiographs into international standard codes saved in common EMR systems. The wealth of discrete medical data provided through this transformation in conjunction with EMR.AI's suite of medical analytics solutions enables stakeholders, practitioners, researchers, health providers, and policy makers to obtain a comprehensive picture of the available medical data in their organization.<br />
<br />
'''Summary'''<br />
<br />
EMR.AI Research & Development has openings for Research Scientists in the field of Natural Language Processing in our Downtown San Francisco offices. Scientists will work on projects spanning a variety of tasks including the semantic interpretation of written and spoken medical reports, the design of language models for a variety of NLP tasks and speech recognition, the summarization of written and spoken language in the medical domain, the incorporation of lexica, ontologies, relational databases, and other sources of structured and unstructured knowledge sources into EMR.AI’s medical NLP tool set, and others.<br />
<br />
This is a unique opportunity to be part of a cutting-edge R&D team in the epicenter of the world’s AI tech industry with true impact on medical research.<br />
<br />
'''Responsibilities'''<br />
<br />
* Process huge corpora of medical textual documents to perform syntactic and semantic analyses and train, tune, and test probabilistic and other data-driven models, using both existing tool benches, proprietary and open-source, as well as self-developed algorithms and techniques.<br />
* Produce high-quality programs and scripts to embed scientific algorithms into effective prototypes and demos to be shared with EMR.AI’s leadership team, its customers, partners, and vendors.<br />
* Create and document technological innovations by means of patent disclosures, scientific publications, media alerts, and other channels.<br />
* Work closely with EMR.AI’s speech processing team and its software engineering division to produce innovative and effective solutions for a range of AI products and services in the medical domain.<br />
* Represent the R&D division in communications with EMR.AI’s leadership team, its customers, partners, and vendors at meetings, conventions, and other venues as well as in written statements.<br />
<br />
'''Skills'''<br />
<br />
PhD in computer science, computational linguistics, electrical engineering, or a related field. Experience in the state of the art of NLP and its standard tools is required. Candidates must be very skilled in programming and must have a proven scientific track record. They must be excellent team players, including with distributed teams, and strong in oral and written English communication. Knowledge of the US medical sector is desirable, so are experience with start-ups and strong scientific connections throughout the Bay Area and beyond.<br />
<br />
'''Benefits'''<br />
<br />
EMR.AI offers competitive salaries, an excellent benefit package, and a stimulating work environment in the heart of San Francisco with manifold local, domestic, and international commercial and academic partnerships.<br />
<br />
'''How to Apply'''<br />
<br />
Please send your application documents to [mailto:jobs@emr.ai jobs@emr.ai]<br />
<br />
'''Contact'''<br />
<br />
EMR.AI Inc.<br />
<br />
90 New Montgomery St<br />
<br />
San Francisco, CA 94105, USA<br />
<br />
phone: +1-415-200-8535<br />
<br />
e-mail: [mailto:info@emr.ai info@emr.ai]<br />
<br />
www: [http://emr.ai http://emr.ai]<br />
<br />
<br />
<br />
==Research Scientist on Natural Language Processing==<br />
<br />
* Employer: IBM Research Ireland<br />
* Title: Research Scientist<br />
* Specialty: NLP, Machine Learning<br />
* Location: Dublin<br />
* Deadline: May 5th, 2016<br />
* Date posted: April 11th, 2016<br />
* Contact: [https://krb-sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?PageType=JobDetails&partnerid=26059&siteid=5016&AReq=36957BR link to application page]<br />
<br />
<br />
Ireland is accepting applications for full-time researchers in the area of natural language processing. The ideal candidate will have a PhD degree in computational linguistics or in computer science with a specialisation in Natural Language Processing (NLP). Prior experience in the area of text analytics with information extraction, information retrieval and machine learning are highly desirable, and experience with corpus linguistics or natural language understanding are a plus. Strong programming skills in Java are required.<br />
<br />
The successful research candidate must have demonstrated ability to define research plans, carry out leading research, and publish research results through professional journals, academic conferences, and patents.<br />
As a researcher you will be expected to organize challenging problems, develop new solutions, and work with business & development teams to ensure these solutions have a significant impact.<br />
<br />
<br />
==Postdoc Researcher on Vision and Language==<br />
<br />
* Employer: University of Liverpool<br />
* Title: Postdoc<br />
* Specialty: Computer Vision with an interest in human vision/language behaviour<br />
* Location: Liverpool UK<br />
* Deadline: April 20th, 2016<br />
* Date posted: March 28, 2016<br />
* Contact: [https://www.liverpool.ac.uk/working/jobvacancies/currentvacancies/research/r-590571/ link to application page]<br />
<br />
Applications are invited for a Postdoctoral Research associate position to study the relationship between visual/spatial representations and language. Language is often used to describe the visual world and this is done by labelling objects in the world with various categories such as roles (e.g., agent, goal). There is now a large infant social cognition literature which shows how categories like agents and goals may be identified using simple visual heuristics. In this post, we will strengthen these links by experimentally manipulating visual cues to see how they influence language choices in adults and children. In addition to the experimental study of these links, we will also develop computational models that use computer vision techniques to track the interaction of objects in videos and link these visual codes to the descriptions of the actions. We are most interested in people with a computational background who have an interest in human vision/language processing.<br />
<br />
This post offers the opportunity to join a thriving research group at the University of Liverpool and become a member of the ESRC International Centre for Language and Communicative Development (LUCID, http://www.lucid.ac.uk/), a multi-million pound collaboration between the Universities of Liverpool, Manchester and Lancaster. You should have (or be about to obtain) a PhD in the field related to Computer Science, Psychology, Cognitive Science, or related disciple. The post is available for 3 years.<br />
<br />
<br />
==Postdoc Positions at Johns Hopkins University==<br />
<br />
* Employer: Johns Hopkins University<br />
* Title: Postdoc<br />
* Specialty: NLP, Machine Learning, Social media analysis for computational social science, health/medicine<br />
* Location: Baltimore, MD<br />
* Deadline: March 31, 2016<br />
* Date posted: March 1, 2016<br />
* Contact: [http://www.clsp.jhu.edu/employment-opportunities/ http://www.clsp.jhu.edu/employment-opportunities/]<br />
<br />
The Center for Language and Speech Processing (CLSP) at the Johns Hopkins University seeks applicants for postdoctoral fellowship positions in speech and language processing, including the areas of natural language processing, machine learning and health informatics. Applicants must have a Ph.D. in a relevant discipline and a strong research record.<br />
<br />
The center has a number of postdoctoral positions available for the coming year. Possible research topics include:<br />
* Trend Detection in Social Media<br />
* Broadly Multilingual Learning of Morphology<br />
* Stochastic approximation algorithms for subspace and multi-view representation learning<br />
* Analysis of large-scale time series data in healthcare<br />
<br />
Host faculty include:<br />
Mark Dredze, David Yarowsky, Jason Eisner, Sanjeev Khudanpur, Benjamin Van Durme, Raman Arora, Suchi Saria<br />
<br />
<br />
==Associate/Full Professor in Computational Linguistics at Stony Brook University==<br />
* Employer: Department of Linguistics, Stony Brook University<br />
* Title: Associate/Full Professor<br />
* Specialty: Computational Linguistics<br />
* Location: New York, USA<br />
* Deadline: <strike>March 14, 2016</strike> May 1, 2016<br />
* Date posted: February 17, 2015<br />
* LinguistList Announcement: [http://linguistlist.org/issues/27/27-861.html http://linguistlist.org/issues/27/27-861.html]<br />
* Contact: Lori Repetti [mailto:lori.repetti@stonybrook.edu lori.repetti@stonybrook.edu]<br />
<br />
'''Job Description'''<br />
<br />
The Department of Linguistics at Stony Brook University invites applications for a tenured appointment in computational linguistics, beginning Fall 2016 or Fall 2017. This is a senior appointment at the Associate or Full Professor level.<br />
<br />
The successful candidate will have a PhD (preferably in Linguistics or Computer Science), an outstanding research profile in Computational Linguistics (ideally in areas that complement existing departmental strengths), a strong track record in grant acquisition, and teaching and advising experience at the graduate and/or undergraduate levels.<br />
<br />
They will also be expected to<br />
<br />
* Contribute to the ongoing development of the Department's degree programs in linguistics and computational linguistics,<br />
* Initiate new collaborations and expand existing ones with other computational research groups on campus, in particular in the Department of Computer Science and the Institute for Advanced Computational Science,<br />
* Strengthen the department's connections with the local IT industry.<br />
<br />
Salary will be commensurate with education and experience.<br />
<br />
'''Application'''<br />
<br />
Applications must be submitted via AcademicJobsOnline: [https://academicjobsonline.org/ajo/jobs/6983 https://academicjobsonline.org/ajo/jobs/6983]<br />
<br />
<br />
==Research Scientist at the Allen Institute for Artificial Intelligence==<br />
<br />
* Employer: Allen Institute for Artificial Intelligence (AI2)<br />
* Title: Research Scientist<br />
* Specialties (one or more): Natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, question answering and explanation<br />
* Location: Seattle, WA<br />
* Deadline: N/A, we are hiring throughout 2016<br />
* Date posted: 02/09/2016<br />
* Contact information: ai2-info@allenai.org<br />
* Website: http://allenai.org/jobs.html<br />
<br />
'''Job Description'''<br />
<br />
The Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni. The core mission of (AI2) is to contribute to humanity through high-impact AI research and engineering. We are actively seeking Research Scientists at all levels who are passionate about AI and who can help us achieve this core mission by teaming to construct AI systems with reasoning, learning and reading capabilities. <br />
<br />
'''Position Summary'''<br />
<br />
AI2 currently has projects in the following areas:<br />
<br />
* Language and Vision<br />
* Information extraction and semantic parsing<br />
* Question answering<br />
* Language and reasoning<br />
* Machine learning and theory formation<br />
* Semantic search<br />
* Natural language processing<br />
* Diagram understanding<br />
* Visual knowledge extraction and visual reasoning<br />
<br />
And more…. <br />
<br />
AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission. These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting AI2’s research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations. <br />
<br />
'''Applicant'''<br />
<br />
Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, computer vision and machine learning, or question answering and explanation. We look favorably upon extensive work experience and publishing demonstrating application of your research. <br />
<br />
'''Why AI2'''<br />
<br />
In addition to AI2’s core mission of being a leader in the field of AI research, we also aim to create a superb team environment and to invest in each team member’s personal development. Some highlights are:<br />
<br />
* We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is a place where you will have opportunities to continue learning right alongside us;<br />
* We value diversity of thought – we seek Research Scientists who can bring novel experiences and modes of problem solving to our leading-edge mission. If you are creative and efficient in your approach and insightful in your questioning, AI2 could be a great environment for you;<br />
* We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave;<br />
* We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures;<br />
* We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, we have the defending Super Bowl champions, and we have so much else. We even have kayaks for you to paddle right outside our front door;<br />
* We are friendly – chances are you will like every one of the 30+ (and growing!) people who work here. We do!<br />
<br />
'''Application Process'''<br />
<br />
Visit our website for more information: http://allenai.org/jobs.html<br />
<br />
<br />
==Software Engineer - Machine Learning / NLP (Chinese) at SYSTRAN==<br />
<br />
* Employer: SYSTRAN<br />
* Title: Software Engineer<br />
* Topics: Machine Learning, Natural Language Processing, Machine Translation<br />
* Location: San Diego<br />
* Deadline: Open until filled<br />
* Date Posted: January 29, 2016<br />
* Contact: Apply directly at https://recruit.systrangroup.com/recruit/Portal.na<br />
<br />
SYSTRAN is currently seeking an experienced Software Engineer specializing in Machine Learning / NLP to join our R&D team in San Diego to develop machine translation systems.<br />
<br />
The ideal candidate must have a combination of research and implementation skills, including significant programming experience. Hands-on experience with machine learning, including deep neural network, text classification, statistical techniques for NLP or a related field, is highly desirable.<br />
<br />
Responsibilities include software development, experimentation, analysis of results, and building systems that combine linguistics and statistical language models for machine translation centering on Chinese language.<br />
<br />
'''Key Qualifications'''<br />
* Knowledge of natural language processing field, including but not limited to, formal grammar, syntactic parsing and morphology<br />
* Good algorithmic knowledge of machine learning<br />
* Experience writing and debugging software<br />
* Strong communications skills<br />
* Ability to work well as part of a team<br />
* Fluent in English.<br />
* Fluent in Chinese is a plus<br />
<br />
'''Education and Experience'''<br />
* MS or Ph D in Computational Linguistics / Computer Science or relevant field.<br />
* 2+ years work experience preferred<br />
<br />
'''Benefits'''<br />
* Successful candidates will be offered a competitive salary based on their qualifications and experience.<br />
<br />
<br />
==Vacancy for Lecturer/Senior Lecturer/Reader at University of Dundee==<br />
<br />
* Employer: University of Dundee<br />
* Title: Lecturer/Senior Lecturer/Reader<br />
* Topics: Computational Linguistics, Language, Argumentation, Artificial Intelligence<br />
* Location: Dundee, UK<br />
* Deadline: 27 February 2016<br />
* Date Posted: 12 January 2016<br />
* Contact: Prof. Chris Reed (see http://arg.tech/lecturer)<br />
<br />
£34,576 to £55,389 Full Time, Permanent<br />
<br />
The University of Dundee’s School of Science & Engineering is advertising several permanent posts including one covering the Centre for Argument Technology. We are particularly keen to receive applications from candidates in Computational Linguistics to expand the group’s research in Argument Mining (see http://argmining2016.arg.tech and http://arg.tech/am), but welcome applications in all areas of the overlap between argumentation and artificial intelligence. A strong publication profile is essential, and for more senior appointments, so is a track record of funding success.<br />
<br />
For further information about the Centre for Argument Technology, please see http://arg.tech or contact Prof. Chris Reed; for more information about the position, see http://arg.tech/lecturer. General details follow.<br />
<br />
'''Summary of Job Purpose and Principal Duties'''<br />
<br />
The University of Dundee is seeking an exceptional candidate to join one of our Computing research groups, based within the School of Science and Engineering. The successful candidate will develop new research lines within either the (i) Human Centred Computing Group; (ii) the Centre for Argument Technology; or (iii) the Space Technology Centre. Full information on the current research in each<br />
group can be found in the Further Particulars.<br />
<br />
The successful candidate is expected to have a strong track record of research and a clear research plan that articulates with (or expands significantly) one of these areas. They will be expected to contribute to the development of research in this area by publishing in the highest quality journals and attracting appropriate research funding. For appointments at Grade 8 and 9, candidates are expected to show evidence of having attracted independent funding. The School encourages applications from holders of personal<br />
Fellowships.<br />
<br />
Additionally, the successful candidate will be expected to take an active role in the teaching of undergraduate computing programmes as well as supporting teaching at Masters level.<br />
<br />
'''Job Summary'''<br />
<br />
The appointee will be expected to contribute to research in Computing and to teaching and administration within the School of Science and Engineering. They will be expected to:<br />
<br />
* Contribute to the ongoing research in one of the three research groups described above.<br />
* Contribute to the generation of external research funding.<br />
* Publish in high quality research journals and major international conferences.<br />
* Teach at undergraduate and post-graduate level.<br />
* Supervise students at all levels (honours and MSc projects, PhD).<br />
* Undertake administrative duties.<br />
<br />
'''Application Requirements'''<br />
<br />
In addition to the online form, applicants must include with their application:<br />
<br />
* Cover letter outlining fit to role.<br />
* Research plan (1-2 pages) covering proposed research over the first three years of the appointment.<br />
* Teaching plan (1-2 pages) outlining fit to current teaching at Dundee and teaching methodology.<br />
<br />
<br />
==Postdoctoral Fellow in Computational Models of Reasoning / Intelligence Systems Section at AI Center / US Naval Research Laboratory==<br />
* Employer: US Naval Research Laboratory<br />
* Title: Postdoctoral Research Fellow<br />
* Topics: Reasoning, Computational Modeling, Language, Artificial Intelligence<br />
* Location: Washington, DC<br />
* Deadline: Open until filled<br />
* Date Posted: January 20, 2016<br />
* Contact: Sunny Khemlani (sunny.khemlani@nrl.navy.mil)<br />
<br />
'''Research focus''': The Postdoctoral Fellow will collaborate on various projects in reasoning, including (but not limited to) building a unified computational framework of reasoning; investigating how people engage in explanatory reasoning; and testing a system that reasons about time and temporal relations.<br />
<br />
'''Supervisor''': Sunny Khemlani, PhD<br />
<br />
'''Key qualifications''': A Ph.D. in cognitive psychology, cognitive science, or computer science, with experience in higher level cognition, experimental design and data analysis, or cognitive modeling. Experience with theories of reasoning, computer programming, and cognitive modeling is a strong plus.<br />
<br />
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance.<br />
<br />
'''Program and compensation''': The Fellowship operates through the NRC Research Associateship Program (http://sites.nationalacademies.org/pga/rap/). Only US citizenship or green card holders are eligible for the program. Fellows are compensated through a research stipend of ~$75,000/year.<br />
<br />
'''To apply''': Send a cover letter and CV to Dr. Sunny Khemlani at sunny.khemlani@nrl.navy.mil.<br />
<br />
<br />
==Internship positions available at Juji, Inc.==<br />
* Employer: Juji, Inc.<br />
* Title: Intern<br />
* Location: Saratoga, CA<br />
* Deadline: open until all the positions are filled<br />
* Date Posted: January 14, 2016<br />
<br />
'''Description''': <br />
Have you ever watched the movie Her? Have you ever wondered or wished to have a virtual partner just like Samantha, who could tell you what you really are, whom your best partner may be, and even cheers you up? At Juji, we are building a hyper-personalized, virtual REP (Responsible, Empathetic Pal) for everyone. Your REP not only understands who you are, including your personality, motivations, and strengths, but it can also chat with you to learn and help fulfill your certain needs. <br />
<br />
We are seeking highly motivated and talented students, who are eager to help us tackle great technical challenges at Juji and to expand their knowledge and skills in the real world. We are especially interested in students who have had worked or love to work in the following areas: Artificial Intelligence, Natural Language Processing/Natural Language Generation, Machine Learning, Human-Computer Interaction, Information Visualization/Visual Analytics, and Cognitive Science.<br />
<br />
We have multiple positions on two main tracks:<br />
<br />
* Software development. If you love to create amazing software technologies and systems for real users, this is the track for you. You are expected to own and deliver a relatively independent project that will contribute to our cutting-edge product development effort.<br />
<br />
* Scientific research. If you love to design and conduct scientific experiments to answer a specific set of research questions, this is the track for you. You will work on a government funded research project on understanding human trust in a digital environment. You are expected to play a critical role in designing and conducting novel research studies and writing papers that lead to scientific publications.<br />
<br />
'''Qualifications'''<br />
Outstanding current students towards a bachelor or higher degree in the area of Computer Science, Computer Engineering, or equivalent disciplines are encouraged to apply. Strong software development or visual design skills are a plus. <br />
<br />
'''To apply''': Please email a copy of your resume to the following address: jobs@juji-inc.com with a subject line “Summer Internship 2016”, and state your track preference in your email body. <br />
<br />
<br />
<br />
==Postdoctoral Fellow in Natural Language Processing / AI at Brigham and Women's Hospital / Harvard Medical School==<br />
* Employer: Brigham and Women's Hospital / Harvard Medical School<br />
* Title: Postdoctoral Research Fellow<br />
* Topics: Natural Language Processing, Artificial Intelligence, Predictive Modeling<br />
* Location: Boston, MA<br />
* Deadline: Open until filled<br />
* Date Posted: January 8, 2016<br />
* Contact: Alexander Turchin (aturchin@bwh.harvard.edu)<br />
<br />
'''Research focus''': the Fellow will work in a multi-disciplinary team of artificial intelligence scientists, informaticians, biostatisticians, and clinicians on projects involving development of high-dimensional predictive models in medicine. The models will be based on data from a large integrated healthcare system and will utilize a combination of artificial intelligence and natural language processing of multiple narrative document streams.<br />
<br />
'''Supervisor''': Alexander Turchin, MD, MS, FACMI<br />
<br />
'''Required skills''': experience with natural language processing; ability to design and conduct effective research studies; strong analytical, scientific writing, presentation and communication skills; strong programming and system development skills. Experience with artificial intelligence technologies, predictive modeling, Big Data and medical terminologies / ontologies is a strong plus.<br />
<br />
'''Education''': PhD in computer science, biomedical informatics, linguistics, or a related discipline; MD or an equivalent degree.<br />
<br />
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.<br />
<br />
'''Available''': Immediately.<br />
<br />
'''Compensation''': according to NIH (NRSA) stipend levels.<br />
<br />
'''To apply''': send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=Employment_opportunities,_postdoctoral_positions,_summer_jobs&diff=11855Employment opportunities, postdoctoral positions, summer jobs2017-05-02T17:41:19Z<p>Pdturney: </p>
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<br />
== Two postdoc positions on plausible reasoning with vector space embeddings at Cardiff University ==<br />
<br />
* Employer: Cardiff University<br />
* Title: Postdoctoral Research Associate<br />
* Specialty: vector space embeddings, statistical relational learning, knowledge representation, neural networks, explainable AI<br />
* Location: Cardiff, UK<br />
* Deadline: May 20, 2017<br />
* Date posted: April 20, 2017<br />
* Contact: [mailto:schockaerts1@cardiff.ac.uk Steven Schockaert]<br />
<br />
Applications are invited for two Postdoctoral Research Associate posts at Cardiff University’s School of Computer Science & Informatics:<br />
* The focus of the first position will be on developing methods for exploiting entity embeddings in statistical relational learning, to enable robust plausible reasoning from sparse relational data. Entity embeddings can be used to identify plausible formulas that are missing from a given knowledge base, intuitively by applying a kind of similarity or analogy based reasoning. Statistical relational learning can also be used to infer plausible formulas, but instead relies on modelling statistical dependencies among relational facts at the symbolic level. Unifying both methodologies will allow us to develop powerful inference methods that combine their complementary strengths. The resulting method will be applied to zero and one shot learning tasks, with a focus on automated knowledge base completion.<br />
*The focus of the second position will be on learning vector space embeddings of events and the causal relations between them. In contrast to existing approaches, the learned embeddings will explicitly model which entities participate in the events, how they are related, and how their relationships are affected by different events. This will require combining ideas from neural network models for event embedding (e.g. based on LSTMs) with ideas from knowledge graph embedding models. Among others, the resulting model will allow us to uncover more intricate causal relationships, to generate supporting explanations for causal predictions, to incorporate prior knowledge, and to transfer learned knowledge between domains. Intended applications include recognising textual entailment, stock market prediction, and event-focused information retrieval. <br />
<br />
Successful candidates are expected to have a strong background in natural language processing, machine learning, or knowledge representation. This research will be part of Steven Schockaert's FLEXILOG project, which is funded by the European Research Council (ERC)<br />
<br />
Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available. <br />
<br />
<br />
'''More information'''<br />
For more details about the positions, please contact Steven Schockaert (SchockaertS1@cardiff.ac.uk). For instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 5878BR. Please note the requirement to evidence all essential criteria in the supporting statement.<br />
<br />
<br />
== Postdoc in Machine Learning for Multimodal Behavior and Mental State Analysis, University of Colorado Boulder ==<br />
<br />
* Employer: University of Colorado Boulder<br />
* Title: Postdoctoral Research Associate<br />
* Specialty: Advanced Machine Learning<br />
* Location: Boulder, Colorado, United States<br />
* Deadline: Ongoing, desired start Summer/Fall 2017<br />
* Date posted: March 31, 2017<br />
* Contact: [mailto:sidney.dmello@gmail.com Dr. Sidney D’Mello]<br />
<br />
'''Postdoc in Machine Learning for Multimodal Behavior and Mental State Analysis''' <br/><br />
(Institute of Cognitive Science and Department of Computer Science at the University of Colorado Boulder)<br />
<br />
The Institute of Cognitive Science (ICS) and Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral fellow starting Summer/Fall 2017 for one year and renewable for a second year. The position includes a competitive salary commensurate with experience and full benefits. Review of applications will begin immediately and continue until the position is filled.<br />
<br />
The postdoc will develop and apply machine learning techniques in the hierarchical and temporal domains to model behavioral and mental states (e.g., affect, attention, workload) from multimodal data (e.g., video, audio, physiology, eye gaze) across a range of interaction contexts (e.g., online learning, in-class learning, collaborative problem solving).<br />
<br />
The candidate will work under the supervision of Dr. Sidney D’Mello and will play a collaborative and co-leadership role in a vibrant research team encompassing researchers in Computer Science, Cognitive Science, and Education.<br />
<br />
The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within multi-department and multi-institution grant-funded projects. The postdoc will be encouraged to develop advanced technical skills, strengthen their research portfolios via peer-reviewed publications, gain interdisciplinary experience by working with a diverse team, develop leadership skills by mentoring students, and gain expertise in co-authoring grant proposals.<br />
<br />
'''Required'''<br />
* Ph.D. in Computer Science, Artificial Intelligence, or a related field (at the time of hire)<br />
* Research experience in advanced machine learning for temporal and hierarchical domains (e.g., probabilistic graphical models, deep recurrent neural networks) applied to human behavior and mental state analysis (e.g., affective computing, dyadic/triadic interaction)<br />
* Self-motivated with a strong work ethic and writing proficiency as evidenced by a strong publication record<br />
<br />
'''Desired'''<br />
* Research experience in one or more of the following areas (computer vision, eye tracking, computational psychophysiology, fMRI, multimodal fusion, collaborative problem solving, real-world sensing)<br />
* Experience mentoring graduate and undergraduate students<br />
<br />
'''Job Details'''<br />
* 1-2 year position. Initial contract is for one year (providing renewal after 6-month probationary period). Second year contract is based on performance and availability of funds.<br />
* Start date is negotiable, but anticipated for Summer/Fall 2017.<br />
* Competitive salary with benefits commensurate with qualifications. This position is eligible for medical, dental and life insurance, retirement benefits programs, and is eligible for monthly vacation and sick leave accruals.<br />
<br />
'''How to apply''' <br/><br />
Please complete Faculty/University Staff EEO Data (application) form ([https://goo.gl/YC9g94 https://goo.gl/YC9g94]) and upload the following required documents: 1—Cover letter; 2—Curriculum Vitae 3—List of Three References 4-One or two representative publications.<br />
<br />
Special Instructions to Applicants: The University of Colorado Boulder conducts background checks on all final applicants being considered for employment, prior to the issuance of an offer letter. The University of Colorado Boulder is committed to providing a safe and productive learning, living and working community. To achieve this goal, we conduct background investigations for all final applicants being considered for employment. Background investigations include a criminal history record check, and an EPLS (Excluded Parties List System) check. The Immigration Reform and Control Act requires that verification of employment eligibility be documented for all new employees by the end of the third day of work.<br />
<br />
The University of Colorado is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained faculty and staff. In compliance with applicable laws and in furtherance of its commitment to fostering an environment that welcomes and embraces diversity, the University of Colorado does not discriminate on the basis of race, color, creed, religion, national origin, sex (including pregnancy), disability, age, veteran status, sexual orientation, gender identity or expression, genetic information, political affiliation or political philosophy in its programs or activities, including employment, admissions, and educational programs. Inquiries may be directed to the Boulder Campus Title IX Coordinator by calling 303-492-2127. In accordance with the Americans with Disabilities Act, alternative formats of this ad can be provided upon request for individuals with disabilities by contacting Human Resources at [mailto:adacoordinator@colorado.edu adacoordinator@colorado.edu].<br />
<br />
'''Questions''' <br/><br />
Please email [mailto:sidney.dmello@gmail.com Dr. Sidney D’Mello]<br />
<br />
<br />
== Researcher in Machine Learning and NLP, DFKI, Germany ==<br />
<br />
* Employer: [http://www.dfki.de/ DFKI GmbH], Germany<br />
* Title: Researcher<br />
* Specialty: Machine Learning and Natural Language Processing, Deep Learning, Machine Translation<br />
* Location: Saarbruecken<br />
* Deadline: March 31, 2017<br />
* Date posted: March 13, 2017<br />
* Contact: [mailto:mlt-sek@dfki.de Prof. Josef van Genabith]<br />
<br />
The Multilingual Technologies (MLT) Lab at DFKI is looking to expand its expertise in Machine Learning with a focus on Deep Learning, Machine Translation and possibly other areas of NLP. Depending on experience, the position is available at the Junior/Researcher/Senior/Principal Researcher level.<br />
<br />
'''Key research responsibilities''' include:<br />
* machine and deep learning for natural language processing/machine translation<br />
* software development and integration<br />
* publication in top-tier conferences and journals<br />
<br />
'''General responsibilities''' include:<br />
* engagement with industry partners and contract research <br />
* identification of funding opportunities and engagement in proposal writing<br />
* contribution to teaching and supervision in accordance with University and DFKI rules and regulations<br />
* administrative work associated with programmes of research<br />
<br />
'''Requirements:'''<br />
* MSc/PhD in computer science, machine learning, natural language processing, computational linguistics or similar<br />
* Strong background and track record in machine learning, neural nets and deep learning<br />
* Strong background and track record in NLP and MT - Excellent programming skills<br />
* Excellent problem solving skills, independent and creative thinking<br />
* Excellent team working and communication skills<br />
* Excellent command of written and oral English<br />
* Command of German and other languages not a requirement but helpful<br />
<br />
The successful applicant will work in the DFKI MLT lab led by Prof. Josef van Genabith (Scientific Director MLT, DFKI, and Chair of Translation-Oriented Language Technologies, Saarland University).<br />
<br />
'''Working environment:'''<br />
DFKI is one of the largest AI research institutes worldwide, with several sites in Germany, covering basic research and applications. DFKI is a not-for-profit company with more than 500 researchers from 60+ countries across the globe. DFKI is based on a shareholder model including globally operating companies such as Intel, Google, Microsoft, Nuance, SAP, BMW, VW, Bosch, Deutsche Telekom, several SMEs, three German universities and three German Federal States.<br />
<br />
The DFKI Multilingual Technologies lab partners in international, national and industry funded research projects in all areas of Language Technologies (including machine translation, question answering, information extraction, human-robot communication, speech and the multi-lingual web). The MLT lab currently leads the H2020 European Research project [http://www.qt21.eu/ QT21] on MT, the EU CEF funded [http://lr-coordination.eu/ ELRC] project and the EU funded [http://www.tradr-project.eu/ TRADR] project on human-robot collaboration in disaster response scenarios.<br />
<br />
The MLT lab is part of the DFKI site at the Saarland University campus in Saarbrücken, Germany. Saarland University has exceptionally strong Computer Science and Computational Linguistics departments, two Max Plank Institutes in Computer Science, an Excellence Cluster in [http://www.mmci.uni-saarland.de/en/start Multimodal Computing and Interaction] and several International Doctoral and Master programmes in Computer Science and Computational Linguistics. DFKI staff regularly engage in teaching and supervision at Saarland University.<br />
<br />
'''Geographical environment:'''<br />
[http://www.saarbruecken.de/en Saarbrücken] is the capital of Saarland with approximately 190,000 inhabitants. It is located right in the heart of Europe and is the cultural center of this border region of Germany, France and Luxembourg. Some of the closest larger cities are Trier, Nancy, Mannheim, Karlsruhe and Frankfurt. Paris can be reached by train in just under 2 hours. Living costs are modest in comparison with other large cities in Germany and elsewhere in Europe.<br />
<br />
'''Starting date, duration, salary:'''<br />
Preferred starting date is May/June 2017. The position is available until June 30, 2020, with opportunities for extension depending on performance and future funding. Compensation is competitive and reflects individual competence, seniority and special skills.<br />
<br />
'''Application:'''<br />
Applications are required to include a short cover letter, a CV, list of publications, a brief summary of research interests, and contact information for three references. Please send your electronic application (preferably in PDF format) to [mailto:mlt-sek@dfki.de Prof. Josef van Genabith] referring to job opening no. 22/17-JvG. Deadline for applications is March 31st, 2017. The position remains open until filled. Please contact [mailto:josef.van_genabith@dfki.de Prof. van Genabith] for informal inquiries.<br />
<br />
<br />
== Associate Research Scientist, UKP Lab, TU Darmstadt ==<br />
<br />
* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany<br />
* Title: Associate Research Scientist<br />
* Specialty: Interactive Machine Learning (IML) or Natural Language Processing for Language Learning<br />
* Location: Darmstadt<br />
* Deadline: March 8, 2017<br />
* Date posted: February 21, 2017<br />
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de Prof. Iryna Gurevych]<br />
<br />
The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has two openings for an<br />
<br />
'''Associate Research Scientist'''<br /><br />
'''(PostDoc- or PhD-level; for an initial term of two years)'''<br />
<br />
to strengthen the group’s profile in the areas of Interactive Machine <br />
Learning (IML) or Natural Language Processing for Language Learning. <br />
The UKP Lab is a research group comprising over 30 team members who <br />
work on various aspects of Natural Language Processing (NLP), of <br />
which Interactive Machine Learning and Natural Language Processing <br />
for Language Learning are the focus areas researched in collaboration <br />
with partners in research and industry.<br />
<br />
We ask for applications from candidates in Computer Science with a <br />
specialization in Machine Learning or Natural Language Processing, <br />
preferably with expertise in research and development projects, and <br />
strong communication skills in English and German.<br />
<br />
* The successful applicant in the area of Interactive Machine Learning will work on research activities regarding its application to end-user content annotation, information structuring and recommendation, or semantic text analysis, and development activities to create functional and attractive user-oriented product prototypes. <br />
* The successful applicant in the area of Natural Language Processing for Language Learning will work on research activities in automatically assessing language competencies and readability as well as on generating exercise material for language learners in intelligent real-time learning systems. <br />
<br />
Prior work in the above areas is a definite advantage. Ideally, the <br />
candidates should have demonstrable experience in designing and <br />
implementing complex (NLP and/or ML) systems, experience in <br />
large-scale data analysis, large-scale knowledge bases, and strong <br />
programming skills incl. Java. Experience with neural network <br />
architectures and a sense for user experience design are a strong <br />
plus. Combining fundamental NLP research on Interactive Machine <br />
Learning or Natural Language Processing with practical applications <br />
in different domains including education will be highly encouraged.<br />
<br />
UKP’s wide cooperation network both within its own research community <br />
and with partners from research and industry provides an excellent <br />
environment for the position to be filled. The Department of Computer <br />
Science of TU Darmstadt is regularly ranked among the top ones in <br />
respective rankings of German universities. Its unique research <br />
initiative "Knowledge Discovery in the Web" and the Research Training <br />
Group [https://www.aiphes.tu-darmstadt.de/ "Adaptive Information Processing of Heterogeneous Content" (AIPHES)] funded by the DFG emphasize NLP, machine learning, text <br />
mining, as well as scalable infrastructures for the assessment and <br />
aggregation of knowledge. UKP Lab is a highly dynamic research group <br />
committed to high-quality research results, technologies of the <br />
highest industrial standards, cooperative work style and close <br />
interaction of team members working on common goals.<br />
<br />
Applications should include a detailed CV, a motivation letter and an <br />
outline of previous working or research experience (if available).<br />
<br />
Applications from women are particularly encouraged. All other things <br />
being equal, candidates with disabilities will be given preference. <br />
Please send the applications to: <br />
[mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by 08.03.2017. The positions <br />
are open until filled. Later applications may be considered if the <br />
position is still open.<br />
<br />
== Postdoctoral Fellowship in Linguistics and Cognitive Science at Northwestern University ==<br />
*Employer: Northwestern University, USA<br />
*Title: Postdoctoral Fellowship in Linguistics and Cognitive Science at Northwestern University<br />
*Speciality: Open area<br />
*Location: Evanston, IL, USA<br />
*Deadline: April 1, 2017<br />
*Date posted: February 17, 2017<br />
*Contact: matt-goldrick@northwestern.edu<br />
<br />
The Department of Linguistics at Northwestern University invites applications for a full-time, non-renewable, two year postdoctoral fellowship in any area of linguistics. We are looking for candidates who pursue an integrated, interdisciplinary approach to the scientific study of language, utilizing experimental methods, corpus analysis, and/or computational modeling to inform linguistic theory and its applications. The fellowship period begins September 1, 2017. Each year, the fellow will be expected to teach one undergraduate-level course in the Department of Linguistics. The fellow will also serve as an undergraduate adviser for the Cognitive Science Program, working with students pursuing the major and minor on academic issues (e.g., course selection, research opportunities, progress on degree requirements).<br />
<br />
The fellow will join a vibrant interdisciplinary community of researchers from across the cognitive sciences (including communication sciences, computer science, learning sciences, music cognition, neuroscience, philosophy, and psychology). The fellow’s research will be supported by the facilities of the Department of Linguistics.<br />
<br />
To receive fullest consideration, applications should arrive by April 1, 2017. Candidates must hold a Ph.D. in Linguistics or a related field (e.g., Cognitive Neuroscience, Cognitive Science, Computer Science, Philosophy, Psychology, Speech and Hearing Sciences) by the start date. Please include a CV that includes contact information, brief statements of research and teaching interests (1-3 pages each), up to 3 reprints or other written work (including thesis chapters for ABD applicants), teaching evaluations (if available), and the names and contact information for three references. Please visit http://www.linguistics.northwestern.edu/ for online application instructions.<br />
<br />
E-mail inquiries should be directed to Matt Goldrick, Chair of the Department of Linguistics (matt-goldrick@northwestern.edu). Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes including veterans and individuals with disabilities. Women and minorities are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.<br />
<br />
== Postdoctoral Research Position in Interpretable Machine Learning at Cardiff University, UK ==<br />
*Employer: Cardiff University, UK<br />
*Title: Research Associate in Artificial Intelligence / Machine Learning<br />
*Speciality: Vector Space Models, Deep Learning, Interpretable Machine Learning, Symbolic Models<br />
*Location: Cardiff, UK<br />
*Deadline: March 2, 2017<br />
*Date posted: February 13, 2017<br />
*Contact: schockaerts1@cardiff.ac.uk<br />
<br />
Applications are invited for a Postdoctoral Research Associate post in Cardiff University’s School of Computer Science & Informatics. This is a full-time, fixed-term post for 30 months, starting on 1 May 2017 or as soon as possible thereafter. The successful candidate will be dedicated to finding creative solutions and have a genuine curiosity and enthusiasm to undertake world-class research in the field of Machine Learning / Artificial Intelligence. Specifically, the aim of this post will be to develop novel methods for learning interpretable/symbolic models from diverse sources of information, including knowledge graphs, vector space models and natural language text. These models will then be used as background theories in applications such as recognising textual entailment, automated knowledge base completion, or zero-shot learning. You will work closely with Steven Schockaert. You will possess or be near the completion of a PhD in Computer Science or a related area, or have relevant industrial experience. <br />
<br />
This research will be part of the FLEXILOG project, which is funded by the European Research Council (ERC)<br />
<br />
'''Essential criteria'''<br />
<br />
* Postgraduate degree at PhD level, or near to completion of a PhD in a related subject area or relevant industrial experience<br />
* An established expertise and proven portfolio of research and/or relevant industrial experience within at least two of the following research fields: Machine Learning, Knowledge Representation, Natural Language Processing.<br />
* A strong background in statistics and linear algebra.<br />
* Excellent programming skills.<br />
* Knowledge of current status of research in specialist field.<br />
* Proven ability to publish in relevant journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, Journal of Machine Learning Research, Machine Learning) or top-tier conferences (e.g. IJCAI, AAAI, ECAI, NIPS, ICML, KDD, ACL, EMNLP). <br />
* Ability to understand and apply for competitive research funding.<br />
* Proven ability in effective and persuasive communication.<br />
* Ability to supervise the work of others to focus team efforts and motivate individuals.<br />
* Proven ability to demonstrate creativity, innovation and team-working within work.<br />
<br />
'''Background about the university'''<br />
<br />
Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available. Various surveys have ranked it as one of the most liveable cities in Europe. Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. The school has a strong research track record recognised for its outstanding impact in terms of reach and significance, with 79% of its outputs deemed world-leading or internationally excellent in the 2014 Research Excellence Framework. <br />
<br />
'''Background about the project'''<br />
<br />
Vector space embeddings have become a popular representation framework in many areas of natural language processing and knowledge representation. In the context of knowledge base completion, for example, their ability to capture important statistical dependencies in relational data has proven remarkably powerful. These vector space models, however, are typically not interpretable, which can be problematic for at least two reasons. First, in applications it is often important that we can provide an intuitive justification to the end user as to why a given statement is believed, and such justifications are moreover invaluable for debugging or assessing the performance of a system. Second, the black box nature of these representations makes it difficult to integrate them with other sources of information, such as statements derived from natural language, or from structured domain theories. Symbolic representations, on the other hand, are easy to interpret, but classical inference is not sufficiently robust (e.g. in case of inconsistency) and too inflexible (e.g. in case of missing knowledge) for most applications. <br />
<br />
The overall aim of the FLEXILOG project is to develop novel forms of reasoning that combine the transparency of logical methods with the flexibility and robustness of vector space representations. For example, symbolic inference can be augmented with inductive reasoning patterns (based on cognitive models of human commonsense reasoning), by relying on fine-grained semantic relationships that are derived from vector space representations. Conversely, logical formulas can be interpreted as spatial constraints on vector space representations. This duality between logical theories and vector space representations opens up various new possibilities for learning interpretable domain theories from data, which will enable new ways of tackling applications such as recognising textual entailment, automated knowledge base completion, or zero-shot learning.<br />
<br />
'''More information'''<br />
<br />
For more details about the project and instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 5545BR. Please note the requirement to evidence all essential criteria in the supporting statement.<br />
<br />
== Research Associates in Natural Language Processing / Text Mining, University of Manchester, UK ==<br />
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK<br />
*Title: Research Associates in Natural Language Processing / Text Mining<br />
*Speciality: Natural Language Processing, Text Mining<br />
*Location: Manchester, UK<br />
*Deadline: March 13, 2017<br />
*Date posted: February 10, 2017<br />
*Contact: sophia.ananiadou@manchester.ac.uk<br />
<br />
The School of Computer Science, National Centre for Text Mining at the University of Manchester seeks to appoint two Research Associates in Natural Language Processing-based Text Mining to expand its text mining research portfolio.<br />
<br />
They will join a strong team of 12+ staff who work on numerous national and international research projects, including industry, in areas of information extraction, disambiguation, topic analysis, natural language processing, biomedical text mining and machine learning. <br />
<br />
'''Skills'''<br />
<br />
You should have a PhD in Computer Science with an emphasis on Natural Language Processing and Text Mining. The focus of your research will be in developing (semi)-supervised methods for information extraction, in particular relation, event extraction and normalisation; a proven ability to develop algorithms for NLP/text mining problems using deep learning will be highly desirable; knowledge of developing text mining workflows using UIMA based environment will be a plus. You should have excellent programming skills, preferably in Java. <br />
<br />
* Duration of post: Immediately until 31st October 2018<br />
* Salary: £31,076-£38,183 per annum<br />
<br />
'''Research Team'''<br />
<br />
The National Centre for Text Mining (http://www.nactem.ac.uk) has been a leading centre for text mining since 2004, with areas of expertise in information extraction, terminology, text classification, text mining infrastructures and semantic search systems. NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research”.<br />
<br />
Informal enquiries: Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk). <br />
<br />
Deadline of applications: 13/03/2017<br />
<br />
Application forms and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=12975</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=Employment_opportunities,_postdoctoral_positions,_summer_jobs&diff=11854Employment opportunities, postdoctoral positions, summer jobs2017-05-02T17:38:40Z<p>Pdturney: </p>
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<br />
== Two postdoc positions on plausible reasoning with vector space embeddings at Cardiff University ==<br />
<br />
* Employer: Cardiff University<br />
* Title: Postdoctoral Research Associate<br />
* Specialty: vector space embeddings, statistical relational learning, knowledge representation, neural networks, explainable AI<br />
* Location: Cardiff, UK<br />
* Deadline: May 20, 2017<br />
* Date posted: April 20, 2017<br />
* Contact: [mailto:schockaerts1@cardiff.ac.uk Steven Schockaert]<br />
<br />
Applications are invited for two Postdoctoral Research Associate posts at Cardiff University’s School of Computer Science & Informatics:<br />
* The focus of the first position will be on developing methods for exploiting entity embeddings in statistical relational learning, to enable robust plausible reasoning from sparse relational data. Entity embeddings can be used to identify plausible formulas that are missing from a given knowledge base, intuitively by applying a kind of similarity or analogy based reasoning. Statistical relational learning can also be used to infer plausible formulas, but instead relies on modelling statistical dependencies among relational facts at the symbolic level. Unifying both methodologies will allow us to develop powerful inference methods that combine their complementary strengths. The resulting method will be applied to zero and one shot learning tasks, with a focus on automated knowledge base completion.<br />
*The focus of the second position will be on learning vector space embeddings of events and the causal relations between them. In contrast to existing approaches, the learned embeddings will explicitly model which entities participate in the events, how they are related, and how their relationships are affected by different events. This will require combining ideas from neural network models for event embedding (e.g. based on LSTMs) with ideas from knowledge graph embedding models. Among others, the resulting model will allow us to uncover more intricate causal relationships, to generate supporting explanations for causal predictions, to incorporate prior knowledge, and to transfer learned knowledge between domains. Intended applications include recognising textual entailment, stock market prediction, and event-focused information retrieval. <br />
<br />
Successful candidates are expected to have a strong background in natural language processing, machine learning, or knowledge representation. This research will be part of Steven Schockaert's FLEXILOG project, which is funded by the European Research Council (ERC)<br />
<br />
Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available. <br />
<br />
<br />
'''More information'''<br />
For more details about the positions, please contact Steven Schockaert (SchockaertS1@cardiff.ac.uk). For instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 5878BR. Please note the requirement to evidence all essential criteria in the supporting statement.<br />
<br />
<br />
== Postdoc in Machine Learning for Multimodal Behavior and Mental State Analysis, University of Colorado Boulder ==<br />
<br />
* Employer: University of Colorado Boulder<br />
* Title: Postdoctoral Research Associate<br />
* Specialty: Advanced Machine Learning<br />
* Location: Boulder, Colorado, United States<br />
* Deadline: Ongoing, desired start Summer/Fall 2017<br />
* Date posted: March 31, 2017<br />
* Contact: [mailto:sidney.dmello@gmail.com Dr. Sidney D’Mello]<br />
<br />
'''Postdoc in Machine Learning for Multimodal Behavior and Mental State Analysis''' <br/><br />
(Institute of Cognitive Science and Department of Computer Science at the University of Colorado Boulder)<br />
<br />
The Institute of Cognitive Science (ICS) and Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral fellow starting Summer/Fall 2017 for one year and renewable for a second year. The position includes a competitive salary commensurate with experience and full benefits. Review of applications will begin immediately and continue until the position is filled.<br />
<br />
The postdoc will develop and apply machine learning techniques in the hierarchical and temporal domains to model behavioral and mental states (e.g., affect, attention, workload) from multimodal data (e.g., video, audio, physiology, eye gaze) across a range of interaction contexts (e.g., online learning, in-class learning, collaborative problem solving).<br />
<br />
The candidate will work under the supervision of Dr. Sidney D’Mello and will play a collaborative and co-leadership role in a vibrant research team encompassing researchers in Computer Science, Cognitive Science, and Education.<br />
<br />
The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within multi-department and multi-institution grant-funded projects. The postdoc will be encouraged to develop advanced technical skills, strengthen their research portfolios via peer-reviewed publications, gain interdisciplinary experience by working with a diverse team, develop leadership skills by mentoring students, and gain expertise in co-authoring grant proposals.<br />
<br />
'''Required'''<br />
* Ph.D. in Computer Science, Artificial Intelligence, or a related field (at the time of hire)<br />
* Research experience in advanced machine learning for temporal and hierarchical domains (e.g., probabilistic graphical models, deep recurrent neural networks) applied to human behavior and mental state analysis (e.g., affective computing, dyadic/triadic interaction)<br />
* Self-motivated with a strong work ethic and writing proficiency as evidenced by a strong publication record<br />
<br />
'''Desired'''<br />
* Research experience in one or more of the following areas (computer vision, eye tracking, computational psychophysiology, fMRI, multimodal fusion, collaborative problem solving, real-world sensing)<br />
* Experience mentoring graduate and undergraduate students<br />
<br />
'''Job Details'''<br />
* 1-2 year position. Initial contract is for one year (providing renewal after 6-month probationary period). Second year contract is based on performance and availability of funds.<br />
* Start date is negotiable, but anticipated for Summer/Fall 2017.<br />
* Competitive salary with benefits commensurate with qualifications. This position is eligible for medical, dental and life insurance, retirement benefits programs, and is eligible for monthly vacation and sick leave accruals.<br />
<br />
'''How to apply''' <br/><br />
Please complete Faculty/University Staff EEO Data (application) form ([https://goo.gl/YC9g94 https://goo.gl/YC9g94]) and upload the following required documents: 1—Cover letter; 2—Curriculum Vitae 3—List of Three References 4-One or two representative publications.<br />
<br />
Special Instructions to Applicants: The University of Colorado Boulder conducts background checks on all final applicants being considered for employment, prior to the issuance of an offer letter. The University of Colorado Boulder is committed to providing a safe and productive learning, living and working community. To achieve this goal, we conduct background investigations for all final applicants being considered for employment. Background investigations include a criminal history record check, and an EPLS (Excluded Parties List System) check. The Immigration Reform and Control Act requires that verification of employment eligibility be documented for all new employees by the end of the third day of work.<br />
<br />
The University of Colorado is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained faculty and staff. In compliance with applicable laws and in furtherance of its commitment to fostering an environment that welcomes and embraces diversity, the University of Colorado does not discriminate on the basis of race, color, creed, religion, national origin, sex (including pregnancy), disability, age, veteran status, sexual orientation, gender identity or expression, genetic information, political affiliation or political philosophy in its programs or activities, including employment, admissions, and educational programs. Inquiries may be directed to the Boulder Campus Title IX Coordinator by calling 303-492-2127. In accordance with the Americans with Disabilities Act, alternative formats of this ad can be provided upon request for individuals with disabilities by contacting Human Resources at [mailto:adacoordinator@colorado.edu adacoordinator@colorado.edu].<br />
<br />
'''Questions''' <br/><br />
Please email [mailto:sidney.dmello@gmail.com Dr. Sidney D’Mello]<br />
<br />
<br />
== Researcher in Machine Learning and NLP, DFKI, Germany ==<br />
<br />
* Employer: [http://www.dfki.de/ DFKI GmbH], Germany<br />
* Title: Researcher<br />
* Specialty: Machine Learning and Natural Language Processing, Deep Learning, Machine Translation<br />
* Location: Saarbruecken<br />
* Deadline: March 31, 2017<br />
* Date posted: March 13, 2017<br />
* Contact: [mailto:mlt-sek@dfki.de Prof. Josef van Genabith]<br />
<br />
The Multilingual Technologies (MLT) Lab at DFKI is looking to expand its expertise in Machine Learning with a focus on Deep Learning, Machine Translation and possibly other areas of NLP. Depending on experience, the position is available at the Junior/Researcher/Senior/Principal Researcher level.<br />
<br />
'''Key research responsibilities''' include:<br />
* machine and deep learning for natural language processing/machine translation<br />
* software development and integration<br />
* publication in top-tier conferences and journals<br />
<br />
'''General responsibilities''' include:<br />
* engagement with industry partners and contract research <br />
* identification of funding opportunities and engagement in proposal writing<br />
* contribution to teaching and supervision in accordance with University and DFKI rules and regulations<br />
* administrative work associated with programmes of research<br />
<br />
'''Requirements:'''<br />
* MSc/PhD in computer science, machine learning, natural language processing, computational linguistics or similar<br />
* Strong background and track record in machine learning, neural nets and deep learning<br />
* Strong background and track record in NLP and MT - Excellent programming skills<br />
* Excellent problem solving skills, independent and creative thinking<br />
* Excellent team working and communication skills<br />
* Excellent command of written and oral English<br />
* Command of German and other languages not a requirement but helpful<br />
<br />
The successful applicant will work in the DFKI MLT lab led by Prof. Josef van Genabith (Scientific Director MLT, DFKI, and Chair of Translation-Oriented Language Technologies, Saarland University).<br />
<br />
'''Working environment:'''<br />
DFKI is one of the largest AI research institutes worldwide, with several sites in Germany, covering basic research and applications. DFKI is a not-for-profit company with more than 500 researchers from 60+ countries across the globe. DFKI is based on a shareholder model including globally operating companies such as Intel, Google, Microsoft, Nuance, SAP, BMW, VW, Bosch, Deutsche Telekom, several SMEs, three German universities and three German Federal States.<br />
<br />
The DFKI Multilingual Technologies lab partners in international, national and industry funded research projects in all areas of Language Technologies (including machine translation, question answering, information extraction, human-robot communication, speech and the multi-lingual web). The MLT lab currently leads the H2020 European Research project [http://www.qt21.eu/ QT21] on MT, the EU CEF funded [http://lr-coordination.eu/ ELRC] project and the EU funded [http://www.tradr-project.eu/ TRADR] project on human-robot collaboration in disaster response scenarios.<br />
<br />
The MLT lab is part of the DFKI site at the Saarland University campus in Saarbrücken, Germany. Saarland University has exceptionally strong Computer Science and Computational Linguistics departments, two Max Plank Institutes in Computer Science, an Excellence Cluster in [http://www.mmci.uni-saarland.de/en/start Multimodal Computing and Interaction] and several International Doctoral and Master programmes in Computer Science and Computational Linguistics. DFKI staff regularly engage in teaching and supervision at Saarland University.<br />
<br />
'''Geographical environment:'''<br />
[http://www.saarbruecken.de/en Saarbrücken] is the capital of Saarland with approximately 190,000 inhabitants. It is located right in the heart of Europe and is the cultural center of this border region of Germany, France and Luxembourg. Some of the closest larger cities are Trier, Nancy, Mannheim, Karlsruhe and Frankfurt. Paris can be reached by train in just under 2 hours. Living costs are modest in comparison with other large cities in Germany and elsewhere in Europe.<br />
<br />
'''Starting date, duration, salary:'''<br />
Preferred starting date is May/June 2017. The position is available until June 30, 2020, with opportunities for extension depending on performance and future funding. Compensation is competitive and reflects individual competence, seniority and special skills.<br />
<br />
'''Application:'''<br />
Applications are required to include a short cover letter, a CV, list of publications, a brief summary of research interests, and contact information for three references. Please send your electronic application (preferably in PDF format) to [mailto:mlt-sek@dfki.de Prof. Josef van Genabith] referring to job opening no. 22/17-JvG. Deadline for applications is March 31st, 2017. The position remains open until filled. Please contact [mailto:josef.van_genabith@dfki.de Prof. van Genabith] for informal inquiries.<br />
<br />
<br />
== Associate Research Scientist, UKP Lab, TU Darmstadt ==<br />
<br />
* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany<br />
* Title: Associate Research Scientist<br />
* Specialty: Interactive Machine Learning (IML) or Natural Language Processing for Language Learning<br />
* Location: Darmstadt<br />
* Deadline: March 8, 2017<br />
* Date posted: February 21, 2017<br />
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de Prof. Iryna Gurevych]<br />
<br />
The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has two openings for an<br />
<br />
'''Associate Research Scientist'''<br /><br />
'''(PostDoc- or PhD-level; for an initial term of two years)'''<br />
<br />
to strengthen the group’s profile in the areas of Interactive Machine <br />
Learning (IML) or Natural Language Processing for Language Learning. <br />
The UKP Lab is a research group comprising over 30 team members who <br />
work on various aspects of Natural Language Processing (NLP), of <br />
which Interactive Machine Learning and Natural Language Processing <br />
for Language Learning are the focus areas researched in collaboration <br />
with partners in research and industry.<br />
<br />
We ask for applications from candidates in Computer Science with a <br />
specialization in Machine Learning or Natural Language Processing, <br />
preferably with expertise in research and development projects, and <br />
strong communication skills in English and German.<br />
<br />
* The successful applicant in the area of Interactive Machine Learning will work on research activities regarding its application to end-user content annotation, information structuring and recommendation, or semantic text analysis, and development activities to create functional and attractive user-oriented product prototypes. <br />
* The successful applicant in the area of Natural Language Processing for Language Learning will work on research activities in automatically assessing language competencies and readability as well as on generating exercise material for language learners in intelligent real-time learning systems. <br />
<br />
Prior work in the above areas is a definite advantage. Ideally, the <br />
candidates should have demonstrable experience in designing and <br />
implementing complex (NLP and/or ML) systems, experience in <br />
large-scale data analysis, large-scale knowledge bases, and strong <br />
programming skills incl. Java. Experience with neural network <br />
architectures and a sense for user experience design are a strong <br />
plus. Combining fundamental NLP research on Interactive Machine <br />
Learning or Natural Language Processing with practical applications <br />
in different domains including education will be highly encouraged.<br />
<br />
UKP’s wide cooperation network both within its own research community <br />
and with partners from research and industry provides an excellent <br />
environment for the position to be filled. The Department of Computer <br />
Science of TU Darmstadt is regularly ranked among the top ones in <br />
respective rankings of German universities. Its unique research <br />
initiative "Knowledge Discovery in the Web" and the Research Training <br />
Group [https://www.aiphes.tu-darmstadt.de/ "Adaptive Information Processing of Heterogeneous Content" (AIPHES)] funded by the DFG emphasize NLP, machine learning, text <br />
mining, as well as scalable infrastructures for the assessment and <br />
aggregation of knowledge. UKP Lab is a highly dynamic research group <br />
committed to high-quality research results, technologies of the <br />
highest industrial standards, cooperative work style and close <br />
interaction of team members working on common goals.<br />
<br />
Applications should include a detailed CV, a motivation letter and an <br />
outline of previous working or research experience (if available).<br />
<br />
Applications from women are particularly encouraged. All other things <br />
being equal, candidates with disabilities will be given preference. <br />
Please send the applications to: <br />
[mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by 08.03.2017. The positions <br />
are open until filled. Later applications may be considered if the <br />
position is still open.<br />
<br />
== Postdoctoral Fellowship in Linguistics and Cognitive Science at Northwestern University ==<br />
*Employer: Northwestern University, USA<br />
*Title: Postdoctoral Fellowship in Linguistics and Cognitive Science at Northwestern University<br />
*Speciality: Open area<br />
*Location: Evanston, IL, USA<br />
*Deadline: April 1, 2017<br />
*Date posted: February 17, 2017<br />
*Contact: matt-goldrick@northwestern.edu<br />
<br />
The Department of Linguistics at Northwestern University invites applications for a full-time, non-renewable, two year postdoctoral fellowship in any area of linguistics. We are looking for candidates who pursue an integrated, interdisciplinary approach to the scientific study of language, utilizing experimental methods, corpus analysis, and/or computational modeling to inform linguistic theory and its applications. The fellowship period begins September 1, 2017. Each year, the fellow will be expected to teach one undergraduate-level course in the Department of Linguistics. The fellow will also serve as an undergraduate adviser for the Cognitive Science Program, working with students pursuing the major and minor on academic issues (e.g., course selection, research opportunities, progress on degree requirements).<br />
<br />
The fellow will join a vibrant interdisciplinary community of researchers from across the cognitive sciences (including communication sciences, computer science, learning sciences, music cognition, neuroscience, philosophy, and psychology). The fellow’s research will be supported by the facilities of the Department of Linguistics.<br />
<br />
To receive fullest consideration, applications should arrive by April 1, 2017. Candidates must hold a Ph.D. in Linguistics or a related field (e.g., Cognitive Neuroscience, Cognitive Science, Computer Science, Philosophy, Psychology, Speech and Hearing Sciences) by the start date. Please include a CV that includes contact information, brief statements of research and teaching interests (1-3 pages each), up to 3 reprints or other written work (including thesis chapters for ABD applicants), teaching evaluations (if available), and the names and contact information for three references. Please visit http://www.linguistics.northwestern.edu/ for online application instructions.<br />
<br />
E-mail inquiries should be directed to Matt Goldrick, Chair of the Department of Linguistics (matt-goldrick@northwestern.edu). Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes including veterans and individuals with disabilities. Women and minorities are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.<br />
<br />
== Postdoctoral Research Position in Interpretable Machine Learning at Cardiff University, UK ==<br />
*Employer: Cardiff University, UK<br />
*Title: Research Associate in Artificial Intelligence / Machine Learning<br />
*Speciality: Vector Space Models, Deep Learning, Interpretable Machine Learning, Symbolic Models<br />
*Location: Cardiff, UK<br />
*Deadline: March 2, 2017<br />
*Date posted: February 13, 2017<br />
*Contact: schockaerts1@cardiff.ac.uk<br />
<br />
Applications are invited for a Postdoctoral Research Associate post in Cardiff University’s School of Computer Science & Informatics. This is a full-time, fixed-term post for 30 months, starting on 1 May 2017 or as soon as possible thereafter. The successful candidate will be dedicated to finding creative solutions and have a genuine curiosity and enthusiasm to undertake world-class research in the field of Machine Learning / Artificial Intelligence. Specifically, the aim of this post will be to develop novel methods for learning interpretable/symbolic models from diverse sources of information, including knowledge graphs, vector space models and natural language text. These models will then be used as background theories in applications such as recognising textual entailment, automated knowledge base completion, or zero-shot learning. You will work closely with Steven Schockaert. You will possess or be near the completion of a PhD in Computer Science or a related area, or have relevant industrial experience. <br />
<br />
This research will be part of the FLEXILOG project, which is funded by the European Research Council (ERC)<br />
<br />
'''Essential criteria'''<br />
<br />
* Postgraduate degree at PhD level, or near to completion of a PhD in a related subject area or relevant industrial experience<br />
* An established expertise and proven portfolio of research and/or relevant industrial experience within at least two of the following research fields: Machine Learning, Knowledge Representation, Natural Language Processing.<br />
* A strong background in statistics and linear algebra.<br />
* Excellent programming skills.<br />
* Knowledge of current status of research in specialist field.<br />
* Proven ability to publish in relevant journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, Journal of Machine Learning Research, Machine Learning) or top-tier conferences (e.g. IJCAI, AAAI, ECAI, NIPS, ICML, KDD, ACL, EMNLP). <br />
* Ability to understand and apply for competitive research funding.<br />
* Proven ability in effective and persuasive communication.<br />
* Ability to supervise the work of others to focus team efforts and motivate individuals.<br />
* Proven ability to demonstrate creativity, innovation and team-working within work.<br />
<br />
'''Background about the university'''<br />
<br />
Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available. Various surveys have ranked it as one of the most liveable cities in Europe. Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. The school has a strong research track record recognised for its outstanding impact in terms of reach and significance, with 79% of its outputs deemed world-leading or internationally excellent in the 2014 Research Excellence Framework. <br />
<br />
'''Background about the project'''<br />
<br />
Vector space embeddings have become a popular representation framework in many areas of natural language processing and knowledge representation. In the context of knowledge base completion, for example, their ability to capture important statistical dependencies in relational data has proven remarkably powerful. These vector space models, however, are typically not interpretable, which can be problematic for at least two reasons. First, in applications it is often important that we can provide an intuitive justification to the end user as to why a given statement is believed, and such justifications are moreover invaluable for debugging or assessing the performance of a system. Second, the black box nature of these representations makes it difficult to integrate them with other sources of information, such as statements derived from natural language, or from structured domain theories. Symbolic representations, on the other hand, are easy to interpret, but classical inference is not sufficiently robust (e.g. in case of inconsistency) and too inflexible (e.g. in case of missing knowledge) for most applications. <br />
<br />
The overall aim of the FLEXILOG project is to develop novel forms of reasoning that combine the transparency of logical methods with the flexibility and robustness of vector space representations. For example, symbolic inference can be augmented with inductive reasoning patterns (based on cognitive models of human commonsense reasoning), by relying on fine-grained semantic relationships that are derived from vector space representations. Conversely, logical formulas can be interpreted as spatial constraints on vector space representations. This duality between logical theories and vector space representations opens up various new possibilities for learning interpretable domain theories from data, which will enable new ways of tackling applications such as recognising textual entailment, automated knowledge base completion, or zero-shot learning.<br />
<br />
'''More information'''<br />
<br />
For more details about the project and instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 5545BR. Please note the requirement to evidence all essential criteria in the supporting statement.<br />
<br />
== Research Associates in Natural Language Processing / Text Mining, University of Manchester, UK ==<br />
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK<br />
*Title: Research Associates in Natural Language Processing / Text Mining<br />
*Speciality: Natural Language Processing, Text Mining<br />
*Location: Manchester, UK<br />
*Deadline: March 13, 2017<br />
*Date posted: February 10, 2017<br />
*Contact: sophia.ananiadou@manchester.ac.uk<br />
<br />
The School of Computer Science, National Centre for Text Mining at the University of Manchester seeks to appoint two Research Associates in Natural Language Processing-based Text Mining to expand its text mining research portfolio.<br />
<br />
They will join a strong team of 12+ staff who work on numerous national and international research projects, including industry, in areas of information extraction, disambiguation, topic analysis, natural language processing, biomedical text mining and machine learning. <br />
<br />
'''Skills'''<br />
<br />
You should have a PhD in Computer Science with an emphasis on Natural Language Processing and Text Mining. The focus of your research will be in developing (semi)-supervised methods for information extraction, in particular relation, event extraction and normalisation; a proven ability to develop algorithms for NLP/text mining problems using deep learning will be highly desirable; knowledge of developing text mining workflows using UIMA based environment will be a plus. You should have excellent programming skills, preferably in Java. <br />
<br />
* Duration of post: Immediately until 31st October 2018<br />
* Salary: £31,076-£38,183 per annum<br />
<br />
'''Research Team'''<br />
<br />
The National Centre for Text Mining (http://www.nactem.ac.uk) has been a leading centre for text mining since 2004, with areas of expertise in information extraction, terminology, text classification, text mining infrastructures and semantic search systems. NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research”.<br />
<br />
Informal enquiries: Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk). <br />
<br />
Deadline of applications: 13/03/2017<br />
<br />
Application forms and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=12975 <br />
<br />
<br />
== Research Scientist Intern at Adobe Research, San Jose, California ==<br />
*Employer: Adobe Systems Incorporated<br />
*Title: Research Scientist Intern <br />
*Speciality: NLP, machine learning and dialog.<br />
*Location: San Jose, CA, USA<br />
*Deadline: March 1, 2017<br />
*Date posted: January 23, 2017<br />
*Contact: bui@adobe.com<br />
<br />
We are looking for PhD students with background in NLP, machine learning, dialog to work on 2 following projects:<br />
1) Deep reinforcement learning for creative assistant<br />
2) Reading order text extraction for PDF documents<br />
<br />
== Assistant/Associate Professor Position in NLP/IR/Text/ML at University of California - Davis ==<br />
*Employer: University of California - Davis<br />
*Title: Assistant/Associate Professor <br />
*Speciality: All areas of NLP/Text/IR/ML etc including those involved in multi-media analysis.<br />
*Location: Davis, CA, USA<br />
*Deadline: January 2, 2017<br />
*Date posted: December 27, 2016<br />
*Contact: davidson@cs.ucdavis.edu<br />
<br />
The Department of Computer Science at the University of California at Davis invites applications for a faculty position at the rank of Assistant or Associate Professor in Computer Science, for appointments with a start date in Spring 2017, or later. We are targeting excellent candidates in all areas of machine learning and computational linguistics, with a special emphasis on all aspects of natural language processing, information retrieval, text analytics and text mining. The campus is especially interested in candidates who can contribute to the diversity and excellence of the academic community through their research, teaching, and service.<br />
<br />
Applications received by 2nd January 2017 will receive full consideration. For further information see http://www.cs.ucdavis.edu/blog/faculty-employment-positions-2/<br />
<br />
<br />
<br />
<br />
<br />
==Postdoctoral Fellow in Natural Language Processing / Machine Learning at Brigham and Women's Hospital / Harvard Medical School==<br />
* Employer: Brigham and Women's Hospital / Harvard Medical School<br />
* Title: Postdoctoral Research Fellow<br />
* Topics: Natural Language Processing, Machine Learning, Predictive Modeling<br />
* Location: Boston, MA<br />
* Deadline: Open until filled<br />
* Date Posted: December 23, 2016<br />
* Contact: Alexander Turchin (aturchin@bwh.harvard.edu)<br />
<br />
'''Research focus''': the Fellow will work in a multi-disciplinary team of artificial intelligence scientists, informaticians, biostatisticians, and clinicians led by Dr. Leonid Perlovsky (http://www.leonid-perlovsky.com/) and Dr. Alexander Turchin (https://connects.catalyst.harvard.edu/Profiles/display/Person/14588) on projects involving development of high-dimensional predictive models in medicine. The models will be based on data from a large integrated healthcare system and will utilize a combination of artificial intelligence and natural language processing of multiple narrative document streams.<br />
<br />
'''Supervisor''': Alexander Turchin, MD, MS, FACMI; Leonid Perlovsky, PhD<br />
<br />
'''Required skills''': strong mathematical background in statistics and machine learning; experience working with large datasets; experience with natural language processing; ability to design and conduct effective research studies; strong analytical, scientific writing, presentation and communication skills; strong programming and system development skills. Experience with predictive modeling, medical terminologies / ontologies, python, MATLAB and Apache Spark is a strong plus.<br />
<br />
'''Education''': PhD in computer science, biomedical informatics, or related discipline or an equivalent degree.<br />
<br />
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.<br />
<br />
'''Available''': Immediately.<br />
<br />
'''Compensation''': according to NIH (NRSA) stipend levels (https://grants.nih.gov/grants/guide/notice-files/NOT-OD-16-131.html).<br />
<br />
'''To apply''': send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.<br />
<br />
<br />
== PhD Scholarship / Enhancing Scientific Text Summarization / Barcelona ==<br />
*Title: PhD Scholarship / Enhancing Scientific Text Summarization with Academic Social Networks<br />
*Location: Barcelona, Spain<br />
*Deadline: February 2nd, 2017<br />
*Date posted: December 12, 2016<br />
*Contact: horacio.saggion@upf.edu<br />
<br />
In the context of the Marie-Curie PhD InPhiNIT La Caixa program associated to the Maria de Maeztu Strategic Research Program, we are looking for a highly motivated PhD candidate in the area of Natural Language Processing to work in a project dealing with Scientific Text Summarization and Academic Social Networks. <br />
<br />
The PhD will be carried out at the TALN research group of the Department of Information and Communication Technologies (DTIC), Universitat Pompeu Fabra (UPF) in Barcelona.<br />
<br />
The PhD student should have background in Natural Language Processing with a solid knowledge of statistics, mathematics, computer programming and machine learning. Experience in Information Extraction, Text Summarization, or related areas would be appreciated.<br />
<br />
Brief description of the project:<br />
<br />
http://www.dtic.upf.edu/~hsaggion/scientific_summarization_social.html<br />
<br />
How and where to apply (InPhiNIT program):<br />
<br />
https://obrasociallacaixa.org/en/educacion-becas/becas-de-posgrado/inphinit/programme-description<br />
<br />
<br />
<br />
The TALN research group:<br />
<br />
http://taln.upf.edu/<br />
<br />
Maria de Maeztu Strategic Research at DTIC:<br />
<br />
https://www.upf.edu/web/mdm-dtic/description<br />
<br />
http://ec.europa.eu/research/mariecurieactions/<br />
<br />
Other:<br />
<br />
You can contact Prof. Horacio Saggion for more information about the project.<br />
<br />
Related information:<br />
<br />
https://www.upf.edu/web/mdm-dtic/projects/-/asset_publisher/Ef1was9TxNY4/content/id/4113025#.WE6ZIH23nm4<br />
<br />
http://taln.upf.edu/pages/coling2016tutorial/<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
== Lecturer/Senior Lecturer openings in Artificial Intelligence and Machine Learning at Imperial College London, UK ==<br />
*Employer: Department of Computing, Imperial College London<br />
*Title: Lecturer/Senior Lecturer openings in Artificial Intelligence and Machine Learning<br />
*Speciality: Artificial Intelligence and Machine Learning, including (but is not limited to): machine learning for text and speech.<br />
*Location: London, UK<br />
*Deadline: January 16, 2017<br />
*Date posted: December 8, 2016<br />
*Contact: margaret.hall@imperial.ac.uk<br />
<br />
The Department of Computing at Imperial College London invites applications for full-time faculty members at the Lecturer/Senior Lecturer level (comparable to American tenure-track Assistant Professorships) who can contribute to research and teaching, in particular in the area of Artificial Intelligence and Machine Learning. This includes (but is not limited to): autonomous systems; knowledge representation and reasoning; planning; machine learning for speech, audio and text; optimization and data mining.<br />
<br />
Notwithstanding the above focus, exceptional candidates from any area of Computer Science are also encouraged to apply.<br />
<br />
The deadline for applications is 16th January 2017. For further information see http://www.imperial.ac.uk/computing/job-vacancies/<br />
<br />
<br />
== Research Fellow in Biomedical Text Mining, University of Manchester, UK ==<br />
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK<br />
*Title: Research Fellow<br />
*Speciality: Natural Language Processing, Text Mining<br />
*Location: Manchester, UK<br />
*Deadline: December 18, 2016<br />
*Date posted: November 28, 2016<br />
*Contact: sophia.ananiadou@manchester.ac.uk<br />
<br />
Applications are invited for a postdoctoral research fellow in Text Mining at the National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester. The position is for 2 years.<br />
<br />
The objective of this BBSRC funded post is to conduct research into extracting complex information (entities and events) from the scientific literature to support metabolic model development.<br />
<br />
Candidates should have a PhD in Computer Science with emphasis in Natural Language Processing/Text Mining; working experience in biomedical text mining (event extraction); excellent knowledge in developing and adapting algorithms for text mining systems; strong publication record; excellent programming skills.<br />
<br />
* Duration of post: 1st January 2017 to 31st December 2018<br />
* Salary: £39,324 to £48,327 per annum<br />
<br />
'''Research Environment '''<br />
<br />
The National Centre for Text Mining (http://www.nactem.ac.uk) has been a leading centre for biomedical text mining since 2004, with areas of expertise in information extraction, terminology, text classification, text mining infrastructures and semantic search systems.<br />
NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research".<br />
<br />
The project will involve close collaboration with a team of experts focusing on metabolomics and cheminformatics.<br />
More information about the project: http://www.nactem.ac.uk/empathy/<br />
<br />
Informal enquiries: Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk).<br />
<br />
Application form and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=12531<br />
<br />
<br />
== Associate Research Scientist, UKP Lab, TU Darmstadt ==<br />
<br />
* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany<br />
* Title: Associate Research Scientist<br />
* Specialty: NLP<br />
* Location: Darmstadt<br />
* Deadline: December 12, 2016<br />
* Date posted: November 23, 2016<br />
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de Prof. Iryna Gurevych]<br />
<br />
The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has two openings for an<br />
<br />
'''Associate Research Scientist'''<br /><br />
'''(PostDoc- or PhD-level; for an initial term of two years)'''<br />
<br />
to strengthen the group’s profile in the areas of Interactive Machine Learning (IML) or Computational Argumentation (CA). The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP), of which Interactive Machine Learning and Computational Argumentation are the rapidly developing focus areas in collaboration with partners in research and industry. <br />
<br />
We ask for applications from candidates in Computer Science with a specialization in Machine Learning or Natural Language Processing, preferably with expertise in research and development projects, and strong communication skills in English and German. <br />
- The successful applicant in the area of interactive machine learning will work on research activities regarding its application to end-user content annotation, information structuring and recommendation, or semantic text analysis, and development activities to create the corresponding product prototypes. <br />
- The successful applicant in the area of Computational Argumentation will work on research activities in analyzing the discourse of future professionals while reasoning to automatically access their argumentation quality given small amounts of training data, and development activities for the research prototype. <br />
Prior work in the above areas is a definite advantage. Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP and/or ML) systems, experience in information retrieval, large-scale data processing and large-scale knowledge bases, and strong programming skills incl. Java. Experience with neural network architectures is a strong plus. Combining fundamental NLP research on Interactive Machine Learning or Computational Argumentation with practical applications in different domains will be highly encouraged.<br />
<br />
UKP’s wide cooperation network both within its own research community and with partners from research and industry provides an excellent environment for the position to be filled. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web” and the Research Training Group [https://www.aiphes.tu-darmstadt.de “Adaptive Information Processing of Heterogeneous Content” (AIPHES)] funded by the DFG emphasize NLP, machine learning, text mining, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest industrial standards, cooperative work style and close interaction of team members working on common goals.<br />
<br />
Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available). <br />
<br />
Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please send the applications to: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by 15.12.2016. The positions are open until filled. Later applications may be considered if the position is still open.<br />
<br />
== One Teaching Track and One Tenure Track position open at the Language Technologies Institute at Carnegie Mellon University (Pittsburgh, PA USA) ==<br />
Employer: Language Technologies Institute, School of Computer Science, Carnegie Mellon University<br />
<br />
Title: Assistant Teaching Professor and Assistant Professor<br />
<br />
Specialty: Natural Language Processing, Computational Linguistics, Machine Learning and Statistical Methods for NLP, Social Media Analysis<br />
* Deadline: January 3, 2017<br />
* Date posted: 10th November 2016<br />
* Contact: [mailto:cprose@cs.cmu.edu Dr. Carolyn P.Rose]<br />
<br />
The Language Technologies Institute (LTI) in the School of Computer Science (SCS) at Carnegie Mellon University invites applications for teaching-track and tenure-track positions, beginning Fall 2017. LTI is an academic department dedicated to the study of human language and information technologies, with approximately thirty faculty members. LTI is one of seven departments within SCS, which has over 200 tenure-track, research, and teaching faculty with expertise spanning traditional computer science, human computer interaction, language technologies, machine learning, computational biology, software engineering, and robotics. SCS offers a highly collaborative and uniquely interdisciplinary environment that promotes innovation and entrepreneurship in both teaching and research. <br />
<br />
<br />
The teaching track is a career-oriented, renewable appointment with an initial appointment of three years. Initial teaching-track appointments are typically at the rank of Assistant Teaching Professor, with the possibility of promotion to the ranks of Associate Teaching Professor and Teaching Professor. These ranks are not tenured, but they do provide substantial opportunities for professional growth and long-term contributions to Language Technologies education at Carnegie Mellon University. Teaching track faculty contribute to the design of new curricula and the adoption of new teaching methods.<br />
For more information about this position, see: http://lti.cs.cmu.edu/teaching-track-faculty-position<br />
<br />
<br />
We are also seeking to hire on the tenure track. Tenure track appointments are typically at the rank of Assistant Professor, with the possibility of promotion to the ranks of Associate Professor and Professor. Tenure-track applicants must have strong interests and accomplishments in both research and teaching. For more information about this position, see: http://lti.cs.cmu.edu/tenure-track-faculty-position<br />
<br />
== One Post-doctoral position in Statistical Machine Translation in CUNY (at Manhattan, NYC) ==<br />
<br />
Employer: Department of Computer Science at Hunter College, University of New York<br />
Title: post-doctoral position<br />
Specialty: Machine Translation <br />
Location: Manhattan, NYC, NY<br />
* Deadline: Open until filled <br />
* Date posted: 6th November 2016<br />
* Contact: [mailto:Jia.Xu@hunter.cuny.edu Dr. Jia Xu]<br />
<br />
The Statistical Machine Learning and Translation group of Dr. Xu at the City University of New York is inviting applications for one post-doctoral position. This is a splendid opportunity to conduct research blending very applied research (i.e. industrial-level Machine Translation systems) with foundational research in statistical machine learning. Dr. Xu’s group has an excellent record (e.g. winning first-place) in the international machine translation competitions during the last decade. The current research has evolved into exciting areas beyond statistical machine translation, such as in the foundations of machine learning and in frameworks in understanding the underlying geometry of languages.<br />
<br />
Applicants should hold by the time the appointment begins a PhD (or its equivalent) in Computer Science, Computer Engineering, Statistics, Mathematics, Physics or in a related discipline. We are seeking for applicants committed to either (1) extending their current research program in statistical Natural Language Processing or (2) employing their analytical and engineering skills and join in our current research program. Therefore, this position can be also seen as an opportunity to fast-forward develop statistical NLP skills and conduct cutting-edge research in this field.<br />
<br />
The position is for 1 year with the possibility of extending it up to 3 years. The starting date is flexible.<br />
<br />
The Hunter College at the City University of New York may ask the post-doctor to take up a very moderate teaching load (can be waived based on research promise). The salary commensurate with qualifications and research potential and starts from $50K/year.<br />
<br />
Hunter college is located in upper-east Manhattan. This is an extremely vibrant research location with numerous opportunities for collaboration. Hunter college is surrounded by top research labs (e.g. Google Research, Microsoft Research, Facebook, IBM Research), and many other university departments (e.g. Princeton, Columbia, NYU).<br />
<br />
Applications should include a recent CV and optionally a research statement and 2 representative publications. Applications should be sent to Dr. Jia Xu by email to: jia.xu@hunter.cuny.edu including in the Subject title the keyword: “Application”.<br />
<br />
All applicants will be notified upon receipt of the application by email.<br />
<br />
This position will be advertised at http://jiaxu.org until is filled.<br />
<br />
Hunter is committed to a policy of equal employment and equal access in its educational programs and activities. Diversity, inclusion, and an environment free from discrimination are central to the mission of the City University of New York.<br />
<br />
<br />
<br />
== Three fully funded PhD Positions in Statistical Natural Language Processing in CUNY (at Manhattan, NYC) ==<br />
<br />
Employer: Department of Computer Science at Hunter College, University of New York<br />
Title: fully-funded PhD position<br />
Specialty: NLP<br />
* Location: Manhattan, NYC, NY<br />
* Deadline: Open until filled <br />
* Date posted: 6th November 2016<br />
* Contact: [mailto:Jia.Xu@hunter.cuny.edu Dr. Jia Xu]<br />
<br />
<br />
The Statistical Machine Learning and Translation group of Dr. Xu at the City University of New York is inviting applications for fully-funded PhD student positions starting in 2017. This is a splendid opportunity to conduct research blending very applied research (i.e. industrial-level Machine Translation systems) with foundational research in statistical machine learning. Dr. Xu’s group has an excellent record (e.g. winning first-place) in the international machine translation competitions during the last decade. The current research has evolved into exciting areas beyond statistical machine translation, such as in the foundations of machine learning and in frameworks in understanding the underlying geometry of languages.<br />
<br />
Applicants should hold by the time that begin their PhD studies a BSc, BEng (or its equivalent) in Computer Science, Linguistics, Computer Engineering, Statistics, Mathematics, Physics or related disciplines. We are seeking for very motivated students with enthusiasm and dedication in conducting cutting-edge research in statistical methods over massive amounts of data. Natural Language Processing is the prototypical domain where Machine Learning and Big Data are required to come together.<br />
<br />
The typical duration of the PhD program is from 3 to 4 years. <br />
<br />
The Hunter College at the City University of New York asks that the PhD candidate should take up two teaching assistantships per year. The admitted student will be offered to have the tuition fees covered and also stipend sufficient to cover the living cost.<br />
<br />
Hunter college is located in upper-east Manhattan. This is an extremely vibrant research location with numerous opportunities for internships and collaboration. Hunter college is surrounded by top research labs, such as Google Research, Microsoft Research, Facebook, and IBM Research.<br />
<br />
Application material: CV and optionally a statement of purpose letter, GRE, and TOELF/IELTS results. Applications should be sent to Dr. Jia Xu by email to: Jia.Xu@hunter.cuny.edu including in the Subject title the keyword: “PhD".<br />
<br />
All applicants will be notified upon receipt of the application by email.<br />
<br />
This position will be advertised at http://jiaxu.org until the position is filled.<br />
<br />
Hunter is committed to a policy of equal employment and equal access in its educational programs and activities. Diversity, inclusion, and an environment free from discrimination are central to the mission of the City University of New York.<br />
<br />
<br />
<br />
== Funded PhD Position in Natural Language Processing in Barcelona ==<br />
<br />
* Employer: Department of Information and Communication Technologies at Universitat Pompeu Fabra<br />
* Title: PhD studentship position<br />
* Specialty: NLP<br />
* Location: Barcelona, Spain<br />
* Deadline: August 8th, 2016 (or until filled) <br />
* Date posted: 29th July 2016<br />
* Contact: [mailto:horacio.saggion@upf.edu Prof. Horacio Saggion]<br />
<br />
<br />
The Department of Information and Communication Technologies at Universitat Pompeu Fabra in Barcelona, Spain, invites applications for a PhD studentship position that is associated with the María de Maeztu Units of Excellence Research Program of the Spanish Government (http://www.upf.edu/mdm-dtic), and involves joint work of the research labs of profs. Horacio Saggion and Ricardo Baeza-Yates. This position will be funded under the FPI call to be launched by the Spanish Ministry of Economy and Competitiveness.<br />
<br />
Project Description<br />
<br />
In the context of our Maria de Maeztu (MdM) project "Mining the Knowledge of Scientific Publications" ( see http://www.upf.edu/mdm-dtic) the PhD student will carry out a research project on the more focused area of automatic research paper assessment which concerns a number of interesting research questions including but not limited to: <br />
<br />
* automatic research paper evaluation<br />
* automatic research paper/author impact prediction<br />
* automatic novelty evaluation<br />
<br />
The PhD will benefit from the resources developed during MdM project: availability of large scale open scientific repositories, natural language processing technology adapted to scientific text processing, document retrieval technology, etc. as well as the expertise of the MdM team members.<br />
<br />
Applicants<br />
<br />
Candidates should hold a M.Sc. in Computer Science or related field with a solid background in Natural Language Processing and be proficient in spoken and written English. Experience with recent advances in Machine Learning and Information Retrieval would be highly valuable. Knowledge of statistical analysis is highly desirable.<br />
<br />
More information<br />
<br />
For informal inquiries, prospective candidates may contact professor Horacio Saggion at horacio DOT saggion AT upf DOT edu <br />
<br />
For more information please check the official announcement at <br />
<br />
https://portal.upf.edu/web/etic/automatic-research-assessment?p_p_id=56_INSTANCE_MaAxd6TFfhia&p_p_lifecycle=0&p_p_state=normal&p_p_mode=view&p_p_col_id=column-1&p_p_col_count=1<br />
<br />
== Research Fellow in Biomedical Text Mining, University of Manchester, UK ==<br />
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK<br />
*Title: Research Fellow<br />
*Speciality: Natural Language Processing, Text Mining<br />
*Location: Manchester, UK<br />
*Deadline: August 13, 2016<br />
*Date posted: July 18, 2016<br />
*Contact: sophia.ananiadou@manchester.ac.uk<br />
<br />
Applications are invited for a postdoctoral research fellow in Biomedical Text Mining at the National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester.<br />
<br />
The objective of this BBSRC funded post in collaboration with Unilever is to conduct research into extracting complex information from the scientific literature to support metabolic pathway curation using text mining methods. <br />
<br />
Candidates should have a PhD in Computer Science with emphasis in Natural Language Processing/Text Mining; working experience in information extraction at large scale; excellent knowledge in developing and adapting algorithms for text mining systems; machine learning; experience in biomedical Text Mining; strong track record of high-quality papers in conferences such as ACL, EMNLP, etc., and in high quality journals; excellent programming skills; proven ability to develop independently research proposals. <br />
<br />
* Duration of post: until 31st March 2018 with possibility of extension<br />
* Salary: £38,896 to £47,801 per annum<br />
<br />
'''Research Environment '''<br />
<br />
The National Centre for Text Mining (http://www.nactem.ac.uk) has been a leading centre for biomedical text mining since 2004, with areas of expertise in information extraction, terminology, text classification, text mining infrastructures and semantic search systems.<br />
NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research".<br />
<br />
The project will involve close collaboration with a team of experts focusing on metabolomics and cheminformatics.<br />
More information about the project: http://www.nactem.ac.uk/empathy/<br />
<br />
Informal enquiries: Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk).<br />
<br />
Application form and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=11856<br />
<br />
== Computational Linguist-Morphology ==<br />
<br />
* Employer: [http://www.edcknowledge.com/ Esprit de Corps Corporation (EdC)], US<br />
* Title: Computational Linguist-Morphology<br />
* Specialty: Application of Finite State Transducers (FST) to language processing technologies, development of FST networks for languages, integration of morphological analyzers.<br />
* Location: Various US Locations<br />
* Deadline: Open<br />
* Date posted: June 19, 2016<br />
* Contact: [mailto:jlay@edcknowledge.com. Jim Lay]<br />
<br />
<br />
EdC provides linguistic and cultural insight in support of US national interests. We are a woman owned, small business, and an equal opportunity employer.<br />
<br />
The Computational Linguist-Morphology provides unique expertise with the application of FST to language processing technologies, to include the development of FST networks for languages, the integration of morphological analyzers in multilingual databases/search engines and the development of APIs for managing FST I/O in a multilingual environment.<br />
<br />
''Qualifications''<br />
<br />
*A master's degree in computer science and/or linguistics, or in a related field; eight (8) years related experience in FST technologies for language applications may be substituted for a master's degree.<br />
<br />
*Within the last ten (10) years, shall have a minimum of seven (7) years experience programming language networks in one or more FST applications such as XSFT, Stuttgart Finite State Transducer Toolkit, OpenFST, FOMA, or other product with equivalent functional capabilities.<br />
<br />
*Shall have a minimum of five (5) years experience coding with two (2) or more of the following: C, C++, or Java. Shall also have a minimum of five (5) years experience with Perl and/or Python scripting languages.<br />
<br />
*Within the last ten (10) years, shall have a minimum of five (5) years experience with linguistics and language structure, language processing technologies, and/or with applying morphologies to multilingual databases/search engines.<br />
<br />
*Shall have a minimum of five (5) years experience with two (2) or more foreign languages. Shall have demonstrated experience with international encodings, to include converting and handling multilingual encoding, such as UTF-8.<br />
<br />
''Applicants must be United States citizens able to acquire a personal security clearance.''<br />
<br />
For more information about the post and for '''applications''': http://edcknowledge.com/join-the-corps-2/, Search and apply for the position titled "Computational Linguist-Morphology".<br />
<br />
== Computational Linguist ==<br />
<br />
* Employer: [http://www.edcknowledge.com/ Esprit de Corps Corporation (EdC)], US<br />
* Title: Computational Linguist<br />
* Specialty: Integration of NLP Modules, Experimentation with User Interfaces for Analytic Support, Web Services for Querying Extracted Results.<br />
* Location: Various US Locations<br />
* Deadline: Open<br />
* Date posted: June 19, 2016<br />
* Contact: [mailto:jlay@edcknowledge.com. Jim Lay]<br />
<br />
<br />
EdC provides linguistic and cultural insight in support of US national interests. We are a woman owned, small business, and an equal opportunity employer.<br />
<br />
The Computational Linguist provides unique expertise with the application of computer science to language processing technologies, to include experimentation with, and integration of, unique NLP modules, experimentation with user interfaces for analytic support, web development, and development of web services for querying extracted results. <br />
<br />
''Qualifications''<br />
<br />
*MA in computer science and/or linguistics, or in a related field (8 years related experience may be substituted for a Master's Degree). <br />
<br />
*Within the last 10 years shall have a minimum of 7 years experience each programming: C, C++, or Java.<br />
<br />
*Within the last 5 years, shall have a minimum of 3 years programming with two or more scripting languages (e.g. Perl, Python).<br />
<br />
*Within the last 10 years, shall have a minimum of 5 years experience with linguistics and language structure, language processing technologies, and/or with applying ontologies to NLP applications. <br />
<br />
*A minimum of 5 years experience with two or more foreign languages is required. <br />
<br />
*Shall have demonstrated experience developing software in a Linux environment, with Semantic Web technologies (e.g. RDF, OWL), and with international encodings, to include converting and handling multilingual encoding, such as UTF - 8 is required.<br />
<br />
''Applicants must be United States citizens able to acquire a personal security clearance.''<br />
<br />
For more information about the post and for '''applications''': http://edcknowledge.com/join-the-corps-2/, Search and apply for the position titled "Computational Linguist".<br />
<br />
== Research Associate/Fellow in Machine Learning, University of Sheffield, UK ==<br />
* Employer: [http://www.sheffield.ac.uk/ University of Sheffield], UK<br />
* Title: Research Associate/Fellow<br />
* Specialty: ML<br />
* Location: Sheffield<br />
* Deadline: July 18, 2016<br />
* Date posted: June 17, 2016<br />
* Contact: [mailto:l.specia@sheffield.ac.uk Prof. Lucia Specia]<br />
<br />
<br />
We have an opening for a 3-year position of Research Associate or Research Fellow in Machine Learning with applications to Machine Translation and Multimodal Language Processing. This position is funded by the ERC MultiMT project: Multi-modal Context Modelling for Machine Translation, led by Prof. Lucia Specia (www.dcs.shef.ac.uk/~lucia) at the University of Sheffield.<br />
<br />
This is a highly interdisciplinary project involving Natural Language Processing, Computer Vision and Machine Learning. Its goal is to devise methods and algorithms to exploit global multi-modal information for context modelling in Machine Translation. The post holder will be expected to investigate new ways to acquire multilingual multi-modal representations, and new machine learning and inference algorithms that can learn from these rich context models to generate high quality translations. In addition, if appointed as Research Fellow, the post holder will be expected to make significant contributions to multi-modal language processing in general, drawing from their experience in Computer Vision and Natural Language Processing.<br />
<br />
This is an opportunity to work in a well-connected international team with world-leading reputation in the Natural Language Processing (NLP) research group at the University of Sheffield. The NLP group is well known internationally for its research, and is one of the largest research groups in the area in Europe.<br />
<br />
This post offers excellent opportunities for publications, project visits and conference trips. Applicants should have (for Research Associate (RA) and Research Fellow (RF) posts):<br />
<br />
* PhD (or equivalent work experience) in Computer Science, Statistics, Mathematics or related areas<br />
* Significant experience and track record in Machine Learning (RA and RF)<br />
* Strong publication record commensurate with career stage (RA and RF)<br />
* Experience and strong track record in Computer Vision (desirable for RA, required for RF)<br />
* Experience and strong track record in Natural Language Processing (desirable for both RA and RF)<br />
* Strong programming experience, particularly in Python or C++. (RA and RF)<br />
<br />
This post is fixed-term with a start date from August 2016 (or soon after) and duration of ''3 years'' with possibility of extension to ''5 years''.<br />
<br />
'''Salary range''': £28,847 to £46,414 per annum.<br />
<br />
For informal inquiries contact Dr. Lucia Specia: L.Specia@sheffield.ac.uk<br />
<br />
For more information about the post and for '''applications''': http://www.shef.ac.uk/jobs, Search and apply for jobs using reference number UOS014018<br />
<br />
<br />
<br />
== Doctoral Researcher at UKP/KRITIS, TU Darmstadt ==<br />
<br />
* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany<br />
* Title: Doctoral researcher<br />
* Specialty: NLP<br />
* Location: Darmstadt<br />
* Deadline: July 10, 2016<br />
* Date posted: June 10, 2016<br />
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de Prof. Iryna Gurevych]<br />
<br />
KRITIS ("Kritische Infrastrukturen: Konstruktion, Funktionskrisen und Schutz in Städten"), a new interdisciplinary research training group at Technsiche Universität Darmstadt and funded through the German Research Foundation, is currently seeking a '''Doctoral Researcher''' to start on 1 October 2016.<br />
<br />
KRITIS researches systems for technical supply and disposal, and for communication and transport, which have become the central nervous system of modern cities. Their disruption can trigger dramatic crises. Modern city infrastructures are increasingly vulnerable not only to external threats (natural disasters, terrorist attacks, and cyber attacks) but also due to their inherent complexity and interdependence. Our aim is to understand and describe these complex systems in their spatial and temporal contexts. This is done in three main research areas:<br />
<br />
# We want to ensure that technical infrastructures are constructed with the term "critical" in mind. We therefore ask what technical-functional needs, and political and social considerations, are relevant, and how these vary according to the systems' historical and spacial context.<br />
# We assume that the complex spatial and temporal arrangements become particularly visible during infrastructural-functional crises. We therefore investigate failures of urban infrastructures, including the conditions contributing to their vulnerability or resilience.<br />
# Finally, we ask how we can best organize protection against or preparation for infrastructural-functional crises (so-called "prevention and preparedness").<br />
<br />
Research in the training group takes an interdisciplinary approach, with cooperation among the following specialities: space and infrastructure planning, modern and contemporary history, medieval history, philosophy of technology, comparative analysis of political systems, ubiquitous knowledge processing, urban design and planning, rail systems, and computer science for architecture and construction.<br />
<br />
In this area, the discipline of ubiquitous knowledge processing (Prof. Iryna Gurevych) is concerned with the interactions between urban infrastructure (e.g., transport, telecommunications), communication in social media, and the relevant spatial and temporal analysis methods from the perspective of adaptive information and text processing. This will be of particular interest to doctoral candidates in the fields of real-time text analysis which can be applied to the early detection of crises, to public opinion-making, or to crisis management through automated evaluation of (online) content such as Twitter.<br />
<br />
Possible dissertation topics include:<br />
* Social-spatial differences of criticality: location- and class-specific text-analytic mining of argumentation on urban infrastructure in social media<br />
* Mining of arguments on urban infrastructure in social media for cascading reactions (i.e., spatio-temporal spread of social media responses to the collapse of urban infrastructure)<br />
* Early recognition of vulnerability: Real-time monitoring of information on hazards to urban infrastructure in social media<br />
* User expectations on the speed of resolution of infrastructural failures – comparison and analysis of tweets across national boundaries<br />
<br />
For discussion or advice on further possible research topics and organizational issues, please contact Prof. Iryna Gurevych at [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de].<br />
<br />
'''Requirements:''' The successful applicants should produce a doctoral dissertation related to one or more of the above-noted research priorities. This dissertation should be completed within three years and submitted to one of the departments of Technische Universität Darmstadt. Further information on KRITIS's scientific program and its participating professors will be available soon on the following website: [http://www.kritis.tu-darmstadt.de http://www.kritis.tu-darmstadt.de]<br />
<br />
It is expected that all members of the research training group will be intensively engaged in interdisciplinary cooperation leading to scholarly publications and lectures. To this end, regular participation in seminars, symposia, workshops, etc. is required, which necessitates the doctoral candidates being domiciled in the Rhine-Main area.<br />
<br />
'''Working environment and conditions:''' KRITIS offers an excellent research infrastructure for doctoral students who wish to carry out their own research project within an innovative and internationally networked program. The members of the group work in shared offices under the support and patronage of participating professors. Among the special services include the possibility of a financed stay abroad in one of four internationally renowned partner universities. We also work with various partners in the private and public sector (companies, government offices, and other organizations) at which candidates can complete internships.<br />
<br />
Salaries for doctoral candidates depend on qualifications and experience, and will be in line with the collective agreement for employees at TU Darmstadt (TV-TU Darmstadt). The positions are limited to three years and include, depending on the field, 65% to 100% (full-time) employment.<br />
<br />
'''Your application:''' TU Darmstadt strives to increase its number of female employees, and as such particularly encourages women to apply. All other things being equal, applicants who have a degree of disability of at least 50% (or the equivalent) will receive preference. Please prepare your application in English or German, and compressed as a single file (up to 6 MB). Applications should be sent by e-mail to Prof. Gurevych at [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by '''10 July 2016'''. The application should include a CV listing language skills and overseas experience, scanned copies of academic credentials, and a sketch of up to five pages for a doctoral project.<br />
<br />
We look forward to receiving your application!<br />
<br />
== Doctoral Researcher in NLP at TU Darmstadt and/or University of Heidelberg ==<br />
<br />
* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt] and/or [http://www.uni-heidelberg.de/ Ruprecht-Karls-University Heidelberg], Germany<br />
* Title: Doctoral researcher<br />
* Specialty: NLP<br />
* Location: Darmstadt and/or Heidelberg, Germany<br />
* Deadline: June 30, 2016<br />
* Date posted: June 6, 2016<br />
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]<br />
<br />
The Research Training Group „Adaptive Information Preparation from Heterogeneous Sources“ (AIPHES) at the Technische Universität Darmstadt and at the Ruprecht‑Karls‑University Heidelberg is filling a position for three years, starting as soon as possible: '''Doctoral Researcher in Natural Language Processing'''<br />
<br />
The position provides the opportunity to obtain a doctoral degree with an emphasis on the guiding theme D1: Multi-level models of information quality, under the leadership of Prof. Dr. Iryna Gurevych (UKP Lab, TU Darmstadt). A possible research focus of the position is an automatic claim checking with its applications in the domain of computational journalism. However, other suitable topics may be proposed as well. The funding follows the guidelines of the DFG, and the positions are paid according to the E13 public service pay scale. <br />
<br />
The goal of AIPHES is to conduct innovative research in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, and automated quality assessment are being developed. AIPHES investigates a novel scenario for information preparation from heterogeneous sources, within the application context of multi-document summarization. There exists close interaction with end users who prepare textual documents in an online editorial office and therefore profit from the results of AIPHES. <br />
<br />
Participating research groups at the Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Eckle-Kohler, Dr. Meyer), Algorithmics (Prof. Weihe), Language Technology (Prof. Biemann). Participants at the Ruprecht‑Karls‑University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of Heidelberg Institute for Theoretical Studies (HITS). Cooperating partners are the Institute for Communication and Media of the University of Applied Sciences Darmstadt and other partners in the area of online media. <br />
<br />
AIPHES emphasizes close contact between students and their advisors, has regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. The training group has the goal of publishing its results at leading scientific conferences and actively supports its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.<br />
<br />
'''Prerequisites'''<br />
<br />
We are looking for exceptionally qualified candidates with a degree in Computer Science, Computational Linguistics, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Desirable is experience in scientific work. Applicants should be able to work with German-language texts, and, if necessary, to acquire German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged. <br />
<br />
The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web” emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge. The Institute for Computational Linguistics (ICL) of the Ruprecht‑Karls‑University Heidelberg is one of the large centers for computational linguistics both in Germany and internationally. <br />
<br />
Applications should include: <br />
<br />
* a motivational letter explaining the applicant’s possible contribution to the guiding theme D1,<br />
* a CV with information about the applicant’s scientific work,<br />
* certifications of study and work experience,<br />
* as well as a thesis or other publications in electronic form.<br />
<br />
They should be submitted until June 30th, 2016 to the spokesperson of the research training group, Prof. Dr. Iryna Gurevych (Fachbereich Informatik, Hochschulstr. 10, 64289 Darmstadt) using the e-mail address [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]. <br />
<br />
== Full Professor (W3) for Real-Time Data Analytics at TU Darmstadt ==<br />
<br />
* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany<br />
* Title: Full Professor<br />
* Specialty: Real-Time Data Analytics, with interdisciplinary experience in NLP<br />
* Location: Darmstadt, Germany<br />
* Deadline: July 6, 2016<br />
* Date posted: June 1, 2016<br />
* Contact: [mailto:dekanat@informatik.tu-darmstadt.de dekanat@informatik.tu-darmstadt.de] (for applications); [mailto:gurevych@ukp.informatik.tu-darmstadt.de Iryna Gurevych] (for further information)<br />
<br />
The Department of Computer Science at Technische Universität Darmstadt invites applications for the position of '''Full Professor (W3) for Real-Time Data Analytics''' to be appointed as soon as possible.<br />
<br />
We are seeking an outstanding researcher to establish the Department’s new area of real-time data analytics through research and teaching. The main focus of the professorship will be on excellent, method-oriented research, with close links to systems and applications. It is also expected that the successful candidate plays a formative role in cross-department and interdisciplinary research activities; the bridge to engineering departments of the university, in particular to the department of mechanical engineering, is particularly important in this respect. <br />
<br />
Relevant topics include real-time data analytics on dynamic data streams of various types (including sensor data, text, and images), adaptive information processing and integration, and interactive machine learning. Further topics of research include data analysis and its applications in the mining of data and data streams of heterogeneous nature, quality, and quantity and in the support of decision-making processes, decision management, and the creation of self-organizing systems. Example application areas include automotive engineering, transport and logistics, and cognitive information processing for information validation on the Web.<br />
<br />
We expect applicants to have interdisciplinary experience in the use of data analysis methods in cooperation with scientists from other fields as well as with industrial partners. The professorship is intended to strengthen those profile areas of TU Darmstadt in which real-time requirements and interactivity play a central role, such as the Internet and digitization and their associated research fields such as data science, Industry 4.0, autonomous driving, smart transport and energy networks, smart buildings, but also '''natural language processing''', cognitive science, and cybersecurity.<br />
<br />
In addition to an outstanding academic CV, applicants must demonstrate a strong commitment to teaching computer science (incl. foundational courses) at the Bachelor’s and Master’s levels. A willingness to participate in academic self-administration is also expected.<br />
<br />
Technische Universität Darmstadt is an autonomous university with a wide-ranging excellence in research, an interdisciplinary profile, and a strong focus on engineering as well as on information and communication technologies. Our Department is one of the leading national Computer Science departments and regularly ranked in the top group in national rankings.<br />
<br />
Employment will be on a non-tariff basis, with qualification-based compensation based on the German W-level salary. Applicants who are already professors classed as German civil servants (''Beamter'') can retain this status. Employment regulations from §§61 and 62 of the ''Hessisches Hochschulgesetz'' apply.<br />
<br />
Technische Universität Darmstadt is committed to increase the proportion of female scientific staff and therefore particularly encourages women to apply. All other things being equal, we will give preference to candidates with a degree of disability of at least 50 (or the equivalent).<br />
<br />
Applications, including all the usual supporting documents, should be submitted to the Dean of the Department of Computer Science, Technische Universität Darmstadt, Hochschulstr. 10, 64289 Darmstadt, Germany, e-mail dekanat@informatik.tu-darmstadt.de. Please quote '''reference No. 244'''.<br />
<br />
For further information, please contact Prof. Dr. Iryna Gurevych, tel. [+49] (0)6151 16 25290, gurevych@ukp.informatik.tu-darmstadt.de<br />
<br />
==NLP Postdoctoral Researcher at UNSW, Australia==<br />
<br />
* Employer: The University of New South Wales, Australia<br />
* Title: Research Associate/Fellow<br />
* Specialty: NLP, Knowledge Graph<br />
* Location: Sydney, Australia<br />
* Deadline: June 6th, 2016<br />
* Date posted: May 14th, 2016<br />
* Contact: Wei Wang (weiw@cse.unsw.edu.au)<br />
<br />
'''POSITION DESCRIPTION'''<br />
<br />
A postdoctoral position is available in School of Computer Science and<br />
Engineering at the University of New South Wales, Australia. The successful<br />
candidate will work with Dr. Wei Wang on utilizing Natural language processing<br />
(NLP), data mining, and semantic web to develop novel algorithms, tools and<br />
methods for constructing and maintaining domain-specific knowledge graphs from<br />
vast amount of unstructured/semi-structured data sources. This position is<br />
funded by Data to Decisions Cooperative Research Centre (D2D CRC), which was<br />
established in 2014 with a grant of A$25 million from the Australian Government,<br />
researchers and industry to provide the Big Data capability resulting in a safer<br />
and more secure nation and a sustainable Big Data workforce for Australia.<br />
<br />
<br />
'''POSITION REQUIREMENTS'''<br />
<br />
Essential criteria:<br />
<br />
* Proven ability to undertake research in a relevant research area (e.g. natural language processing, data mining, knowledge graph) at an international level, as evidenced by research output.<br />
* Excellent programming skills (java or C/C++).<br />
* A demonstrable history of contributing to excellent publications in relevant top-tier conferences (e.g. ACL, EMNLP, KDD, IJCAI, AAAI, ICML, NIPS, SIGMOD, VLDB) and journals.<br />
* Proven ability to communicate specialist ideas clearly in English using written media.<br />
* Excellent organisational skills with a proven ability to work independently and be self-managing, to prioritise your work and meet deadlines within the framework of an agreed programme.<br />
* A PhD in Computer Science or closely related area, or equivalent experience. Candidates with pending degrees who will successfully defend their dissertations by August 1, 2016 will also be considered.<br />
<br />
<br />
Desirable criteria:<br />
<br />
* Knowledge of statistical natural language processing.<br />
* Knowledge of knowledge graph construction and applications.<br />
* Experience with analysing large text corpora using a high-performance computing environment.<br />
* Experience with python/R<br />
<br />
<br />
'''SALARY RANGE AND CONTRACT LENGTH'''<br />
<br />
* Research Associate: A$86,438 - A$92,453 per year (plus employer superannuation)<br />
* Research Fellow: A$97,090 - A$114,454 per year (plus employer superannuation)<br />
<br />
This is a fixed term position of one year with further renewal up to January 2019, subject to funding.<br />
<br />
<br />
'''ENVIRONMENT'''<br />
<br />
The School of Computer Science and Engineering in UNSW, located in Sydney, is<br />
one of the largest and leading computing schools in Australia. It offers both<br />
undergraduate and postgraduate programs in Software Engineering, Computer<br />
Engineering, Computer Science and Bioinformatics, as well as a number of<br />
combined degrees with other disciplines. It attracts excellent students who have<br />
an outstanding record in international competitions (such as Robocup).<br />
<br />
<br />
'''APPLICATION'''<br />
<br />
Please send a statement of interest, an academic CV (in pdf format) to Wei Wang<br />
(weiw@cse.unsw.edu.au) with the subject line starting with "[CRCPostdoc]". For<br />
informal queries, please send an email to weiw@cse.unsw.edu.au.<br />
<br />
<br />
<br />
<br />
<br />
<br />
==Computer Science Postdoctoral Researcher in Natural Language Processing for Social Science==<br />
<br />
* Employer: University of Pennsylvania<br />
* Title: Postdoctoral Researcher <br />
* Specialty: NLP<br />
* Location: Philadelphia, PA<br />
* Deadline: May 15th, 2016<br />
* Date posted: April 26th, 2016<br />
* Contact: Professor Lyle Ungar: ungar@cis.upenn.edu<br />
<br />
'''Summary'''<br />
<br />
We invite applicants for a postdoctoral research position in natural language processing for health and social science, working on an interdisciplinary research project studying subjective well-being and health outcomes. The researcher will help develop state-of-the-art methods and models to better understand people, such as predicting personality from the words they use and automatically recognizing cognitive distortions typical of people prone to depression. <br />
The primary responsibility will, of course, be producing top-quality published research in areas of interest to you and the WWBP team. You will be expected to lead multiple peer-reviewed publications each year and to support (as secondary author and technical expert) many more publications. As part of that latter process, we would like you to serve as the equivalent of a “Chief Technology Officer” of the WWBP, providing technical oversight and mentoring to the programmers and data scientists who build and maintain our software and hardware infrastructure, and who do the vast bulk of the data collection and analysis for the WWBP. <br />
<br />
The ideal candidate will have research experience in computational linguistics and applied machine learning. They will develop and code novel methods to leverage large datasets (i.e. billions of tweets) and use them to further our understanding of health, well-being, and the psychological states of individuals and large populations. Methods and results will be published in high impact computer science venues and, via collaboration with psychologists and medical doctors, in social science and health venues. See wwp.org for example publications.<br />
<br />
<br />
Approximate Start Date: Summer 2016<br />
<br />
<br />
'''How to Apply'''<br />
<br />
Send a detailed CV with at least 2 references who can be contacted for letters to applications@wwbp.org. Include job-code “POSTDOC-CS” in subject line. <br />
<br />
<br />
<br />
<br />
==Research Scientist, Natural Language Processing==<br />
<br />
* Employer: EMR.AI Inc.<br />
* Title: Research Scientist<br />
* Specialty: NLP<br />
* Location: San Francisco, CA<br />
* Deadline: May 20th, 2016<br />
* Date posted: April 21th, 2016<br />
* Contact: David Suendermann-Oeft ([mailto:david@emr.ai david@emr.ai])<br />
<br />
Headquartered in San Francisco, CA, EMR.AI Inc. is a leading provider of AI solutions to the medical sector. EMR.AI transforms unstructured information, in form of written, spoken, or typed reports, clinical test results, and radiographs into international standard codes saved in common EMR systems. The wealth of discrete medical data provided through this transformation in conjunction with EMR.AI's suite of medical analytics solutions enables stakeholders, practitioners, researchers, health providers, and policy makers to obtain a comprehensive picture of the available medical data in their organization.<br />
<br />
'''Summary'''<br />
<br />
EMR.AI Research & Development has openings for Research Scientists in the field of Natural Language Processing in our Downtown San Francisco offices. Scientists will work on projects spanning a variety of tasks including the semantic interpretation of written and spoken medical reports, the design of language models for a variety of NLP tasks and speech recognition, the summarization of written and spoken language in the medical domain, the incorporation of lexica, ontologies, relational databases, and other sources of structured and unstructured knowledge sources into EMR.AI’s medical NLP tool set, and others.<br />
<br />
This is a unique opportunity to be part of a cutting-edge R&D team in the epicenter of the world’s AI tech industry with true impact on medical research.<br />
<br />
'''Responsibilities'''<br />
<br />
* Process huge corpora of medical textual documents to perform syntactic and semantic analyses and train, tune, and test probabilistic and other data-driven models, using both existing tool benches, proprietary and open-source, as well as self-developed algorithms and techniques.<br />
* Produce high-quality programs and scripts to embed scientific algorithms into effective prototypes and demos to be shared with EMR.AI’s leadership team, its customers, partners, and vendors.<br />
* Create and document technological innovations by means of patent disclosures, scientific publications, media alerts, and other channels.<br />
* Work closely with EMR.AI’s speech processing team and its software engineering division to produce innovative and effective solutions for a range of AI products and services in the medical domain.<br />
* Represent the R&D division in communications with EMR.AI’s leadership team, its customers, partners, and vendors at meetings, conventions, and other venues as well as in written statements.<br />
<br />
'''Skills'''<br />
<br />
PhD in computer science, computational linguistics, electrical engineering, or a related field. Experience in the state of the art of NLP and its standard tools is required. Candidates must be very skilled in programming and must have a proven scientific track record. They must be excellent team players, including with distributed teams, and strong in oral and written English communication. Knowledge of the US medical sector is desirable, so are experience with start-ups and strong scientific connections throughout the Bay Area and beyond.<br />
<br />
'''Benefits'''<br />
<br />
EMR.AI offers competitive salaries, an excellent benefit package, and a stimulating work environment in the heart of San Francisco with manifold local, domestic, and international commercial and academic partnerships.<br />
<br />
'''How to Apply'''<br />
<br />
Please send your application documents to [mailto:jobs@emr.ai jobs@emr.ai]<br />
<br />
'''Contact'''<br />
<br />
EMR.AI Inc.<br />
<br />
90 New Montgomery St<br />
<br />
San Francisco, CA 94105, USA<br />
<br />
phone: +1-415-200-8535<br />
<br />
e-mail: [mailto:info@emr.ai info@emr.ai]<br />
<br />
www: [http://emr.ai http://emr.ai]<br />
<br />
<br />
<br />
==Research Scientist on Natural Language Processing==<br />
<br />
* Employer: IBM Research Ireland<br />
* Title: Research Scientist<br />
* Specialty: NLP, Machine Learning<br />
* Location: Dublin<br />
* Deadline: May 5th, 2016<br />
* Date posted: April 11th, 2016<br />
* Contact: [https://krb-sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?PageType=JobDetails&partnerid=26059&siteid=5016&AReq=36957BR link to application page]<br />
<br />
<br />
Ireland is accepting applications for full-time researchers in the area of natural language processing. The ideal candidate will have a PhD degree in computational linguistics or in computer science with a specialisation in Natural Language Processing (NLP). Prior experience in the area of text analytics with information extraction, information retrieval and machine learning are highly desirable, and experience with corpus linguistics or natural language understanding are a plus. Strong programming skills in Java are required.<br />
<br />
The successful research candidate must have demonstrated ability to define research plans, carry out leading research, and publish research results through professional journals, academic conferences, and patents.<br />
As a researcher you will be expected to organize challenging problems, develop new solutions, and work with business & development teams to ensure these solutions have a significant impact.<br />
<br />
<br />
==Postdoc Researcher on Vision and Language==<br />
<br />
* Employer: University of Liverpool<br />
* Title: Postdoc<br />
* Specialty: Computer Vision with an interest in human vision/language behaviour<br />
* Location: Liverpool UK<br />
* Deadline: April 20th, 2016<br />
* Date posted: March 28, 2016<br />
* Contact: [https://www.liverpool.ac.uk/working/jobvacancies/currentvacancies/research/r-590571/ link to application page]<br />
<br />
Applications are invited for a Postdoctoral Research associate position to study the relationship between visual/spatial representations and language. Language is often used to describe the visual world and this is done by labelling objects in the world with various categories such as roles (e.g., agent, goal). There is now a large infant social cognition literature which shows how categories like agents and goals may be identified using simple visual heuristics. In this post, we will strengthen these links by experimentally manipulating visual cues to see how they influence language choices in adults and children. In addition to the experimental study of these links, we will also develop computational models that use computer vision techniques to track the interaction of objects in videos and link these visual codes to the descriptions of the actions. We are most interested in people with a computational background who have an interest in human vision/language processing.<br />
<br />
This post offers the opportunity to join a thriving research group at the University of Liverpool and become a member of the ESRC International Centre for Language and Communicative Development (LUCID, http://www.lucid.ac.uk/), a multi-million pound collaboration between the Universities of Liverpool, Manchester and Lancaster. You should have (or be about to obtain) a PhD in the field related to Computer Science, Psychology, Cognitive Science, or related disciple. The post is available for 3 years.<br />
<br />
<br />
==Postdoc Positions at Johns Hopkins University==<br />
<br />
* Employer: Johns Hopkins University<br />
* Title: Postdoc<br />
* Specialty: NLP, Machine Learning, Social media analysis for computational social science, health/medicine<br />
* Location: Baltimore, MD<br />
* Deadline: March 31, 2016<br />
* Date posted: March 1, 2016<br />
* Contact: [http://www.clsp.jhu.edu/employment-opportunities/ http://www.clsp.jhu.edu/employment-opportunities/]<br />
<br />
The Center for Language and Speech Processing (CLSP) at the Johns Hopkins University seeks applicants for postdoctoral fellowship positions in speech and language processing, including the areas of natural language processing, machine learning and health informatics. Applicants must have a Ph.D. in a relevant discipline and a strong research record.<br />
<br />
The center has a number of postdoctoral positions available for the coming year. Possible research topics include:<br />
* Trend Detection in Social Media<br />
* Broadly Multilingual Learning of Morphology<br />
* Stochastic approximation algorithms for subspace and multi-view representation learning<br />
* Analysis of large-scale time series data in healthcare<br />
<br />
Host faculty include:<br />
Mark Dredze, David Yarowsky, Jason Eisner, Sanjeev Khudanpur, Benjamin Van Durme, Raman Arora, Suchi Saria<br />
<br />
<br />
==Associate/Full Professor in Computational Linguistics at Stony Brook University==<br />
* Employer: Department of Linguistics, Stony Brook University<br />
* Title: Associate/Full Professor<br />
* Specialty: Computational Linguistics<br />
* Location: New York, USA<br />
* Deadline: <strike>March 14, 2016</strike> May 1, 2016<br />
* Date posted: February 17, 2015<br />
* LinguistList Announcement: [http://linguistlist.org/issues/27/27-861.html http://linguistlist.org/issues/27/27-861.html]<br />
* Contact: Lori Repetti [mailto:lori.repetti@stonybrook.edu lori.repetti@stonybrook.edu]<br />
<br />
'''Job Description'''<br />
<br />
The Department of Linguistics at Stony Brook University invites applications for a tenured appointment in computational linguistics, beginning Fall 2016 or Fall 2017. This is a senior appointment at the Associate or Full Professor level.<br />
<br />
The successful candidate will have a PhD (preferably in Linguistics or Computer Science), an outstanding research profile in Computational Linguistics (ideally in areas that complement existing departmental strengths), a strong track record in grant acquisition, and teaching and advising experience at the graduate and/or undergraduate levels.<br />
<br />
They will also be expected to<br />
<br />
* Contribute to the ongoing development of the Department's degree programs in linguistics and computational linguistics,<br />
* Initiate new collaborations and expand existing ones with other computational research groups on campus, in particular in the Department of Computer Science and the Institute for Advanced Computational Science,<br />
* Strengthen the department's connections with the local IT industry.<br />
<br />
Salary will be commensurate with education and experience.<br />
<br />
'''Application'''<br />
<br />
Applications must be submitted via AcademicJobsOnline: [https://academicjobsonline.org/ajo/jobs/6983 https://academicjobsonline.org/ajo/jobs/6983]<br />
<br />
<br />
==Research Scientist at the Allen Institute for Artificial Intelligence==<br />
<br />
* Employer: Allen Institute for Artificial Intelligence (AI2)<br />
* Title: Research Scientist<br />
* Specialties (one or more): Natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, question answering and explanation<br />
* Location: Seattle, WA<br />
* Deadline: N/A, we are hiring throughout 2016<br />
* Date posted: 02/09/2016<br />
* Contact information: ai2-info@allenai.org<br />
* Website: http://allenai.org/jobs.html<br />
<br />
'''Job Description'''<br />
<br />
The Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni. The core mission of (AI2) is to contribute to humanity through high-impact AI research and engineering. We are actively seeking Research Scientists at all levels who are passionate about AI and who can help us achieve this core mission by teaming to construct AI systems with reasoning, learning and reading capabilities. <br />
<br />
'''Position Summary'''<br />
<br />
AI2 currently has projects in the following areas:<br />
<br />
* Language and Vision<br />
* Information extraction and semantic parsing<br />
* Question answering<br />
* Language and reasoning<br />
* Machine learning and theory formation<br />
* Semantic search<br />
* Natural language processing<br />
* Diagram understanding<br />
* Visual knowledge extraction and visual reasoning<br />
<br />
And more…. <br />
<br />
AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission. These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting AI2’s research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations. <br />
<br />
'''Applicant'''<br />
<br />
Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, computer vision and machine learning, or question answering and explanation. We look favorably upon extensive work experience and publishing demonstrating application of your research. <br />
<br />
'''Why AI2'''<br />
<br />
In addition to AI2’s core mission of being a leader in the field of AI research, we also aim to create a superb team environment and to invest in each team member’s personal development. Some highlights are:<br />
<br />
* We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is a place where you will have opportunities to continue learning right alongside us;<br />
* We value diversity of thought – we seek Research Scientists who can bring novel experiences and modes of problem solving to our leading-edge mission. If you are creative and efficient in your approach and insightful in your questioning, AI2 could be a great environment for you;<br />
* We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave;<br />
* We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures;<br />
* We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, we have the defending Super Bowl champions, and we have so much else. We even have kayaks for you to paddle right outside our front door;<br />
* We are friendly – chances are you will like every one of the 30+ (and growing!) people who work here. We do!<br />
<br />
'''Application Process'''<br />
<br />
Visit our website for more information: http://allenai.org/jobs.html<br />
<br />
<br />
==Software Engineer - Machine Learning / NLP (Chinese) at SYSTRAN==<br />
<br />
* Employer: SYSTRAN<br />
* Title: Software Engineer<br />
* Topics: Machine Learning, Natural Language Processing, Machine Translation<br />
* Location: San Diego<br />
* Deadline: Open until filled<br />
* Date Posted: January 29, 2016<br />
* Contact: Apply directly at https://recruit.systrangroup.com/recruit/Portal.na<br />
<br />
SYSTRAN is currently seeking an experienced Software Engineer specializing in Machine Learning / NLP to join our R&D team in San Diego to develop machine translation systems.<br />
<br />
The ideal candidate must have a combination of research and implementation skills, including significant programming experience. Hands-on experience with machine learning, including deep neural network, text classification, statistical techniques for NLP or a related field, is highly desirable.<br />
<br />
Responsibilities include software development, experimentation, analysis of results, and building systems that combine linguistics and statistical language models for machine translation centering on Chinese language.<br />
<br />
'''Key Qualifications'''<br />
* Knowledge of natural language processing field, including but not limited to, formal grammar, syntactic parsing and morphology<br />
* Good algorithmic knowledge of machine learning<br />
* Experience writing and debugging software<br />
* Strong communications skills<br />
* Ability to work well as part of a team<br />
* Fluent in English.<br />
* Fluent in Chinese is a plus<br />
<br />
'''Education and Experience'''<br />
* MS or Ph D in Computational Linguistics / Computer Science or relevant field.<br />
* 2+ years work experience preferred<br />
<br />
'''Benefits'''<br />
* Successful candidates will be offered a competitive salary based on their qualifications and experience.<br />
<br />
<br />
==Vacancy for Lecturer/Senior Lecturer/Reader at University of Dundee==<br />
<br />
* Employer: University of Dundee<br />
* Title: Lecturer/Senior Lecturer/Reader<br />
* Topics: Computational Linguistics, Language, Argumentation, Artificial Intelligence<br />
* Location: Dundee, UK<br />
* Deadline: 27 February 2016<br />
* Date Posted: 12 January 2016<br />
* Contact: Prof. Chris Reed (see http://arg.tech/lecturer)<br />
<br />
£34,576 to £55,389 Full Time, Permanent<br />
<br />
The University of Dundee’s School of Science & Engineering is advertising several permanent posts including one covering the Centre for Argument Technology. We are particularly keen to receive applications from candidates in Computational Linguistics to expand the group’s research in Argument Mining (see http://argmining2016.arg.tech and http://arg.tech/am), but welcome applications in all areas of the overlap between argumentation and artificial intelligence. A strong publication profile is essential, and for more senior appointments, so is a track record of funding success.<br />
<br />
For further information about the Centre for Argument Technology, please see http://arg.tech or contact Prof. Chris Reed; for more information about the position, see http://arg.tech/lecturer. General details follow.<br />
<br />
'''Summary of Job Purpose and Principal Duties'''<br />
<br />
The University of Dundee is seeking an exceptional candidate to join one of our Computing research groups, based within the School of Science and Engineering. The successful candidate will develop new research lines within either the (i) Human Centred Computing Group; (ii) the Centre for Argument Technology; or (iii) the Space Technology Centre. Full information on the current research in each<br />
group can be found in the Further Particulars.<br />
<br />
The successful candidate is expected to have a strong track record of research and a clear research plan that articulates with (or expands significantly) one of these areas. They will be expected to contribute to the development of research in this area by publishing in the highest quality journals and attracting appropriate research funding. For appointments at Grade 8 and 9, candidates are expected to show evidence of having attracted independent funding. The School encourages applications from holders of personal<br />
Fellowships.<br />
<br />
Additionally, the successful candidate will be expected to take an active role in the teaching of undergraduate computing programmes as well as supporting teaching at Masters level.<br />
<br />
'''Job Summary'''<br />
<br />
The appointee will be expected to contribute to research in Computing and to teaching and administration within the School of Science and Engineering. They will be expected to:<br />
<br />
* Contribute to the ongoing research in one of the three research groups described above.<br />
* Contribute to the generation of external research funding.<br />
* Publish in high quality research journals and major international conferences.<br />
* Teach at undergraduate and post-graduate level.<br />
* Supervise students at all levels (honours and MSc projects, PhD).<br />
* Undertake administrative duties.<br />
<br />
'''Application Requirements'''<br />
<br />
In addition to the online form, applicants must include with their application:<br />
<br />
* Cover letter outlining fit to role.<br />
* Research plan (1-2 pages) covering proposed research over the first three years of the appointment.<br />
* Teaching plan (1-2 pages) outlining fit to current teaching at Dundee and teaching methodology.<br />
<br />
<br />
==Postdoctoral Fellow in Computational Models of Reasoning / Intelligence Systems Section at AI Center / US Naval Research Laboratory==<br />
* Employer: US Naval Research Laboratory<br />
* Title: Postdoctoral Research Fellow<br />
* Topics: Reasoning, Computational Modeling, Language, Artificial Intelligence<br />
* Location: Washington, DC<br />
* Deadline: Open until filled<br />
* Date Posted: January 20, 2016<br />
* Contact: Sunny Khemlani (sunny.khemlani@nrl.navy.mil)<br />
<br />
'''Research focus''': The Postdoctoral Fellow will collaborate on various projects in reasoning, including (but not limited to) building a unified computational framework of reasoning; investigating how people engage in explanatory reasoning; and testing a system that reasons about time and temporal relations.<br />
<br />
'''Supervisor''': Sunny Khemlani, PhD<br />
<br />
'''Key qualifications''': A Ph.D. in cognitive psychology, cognitive science, or computer science, with experience in higher level cognition, experimental design and data analysis, or cognitive modeling. Experience with theories of reasoning, computer programming, and cognitive modeling is a strong plus.<br />
<br />
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance.<br />
<br />
'''Program and compensation''': The Fellowship operates through the NRC Research Associateship Program (http://sites.nationalacademies.org/pga/rap/). Only US citizenship or green card holders are eligible for the program. Fellows are compensated through a research stipend of ~$75,000/year.<br />
<br />
'''To apply''': Send a cover letter and CV to Dr. Sunny Khemlani at sunny.khemlani@nrl.navy.mil.<br />
<br />
<br />
==Internship positions available at Juji, Inc.==<br />
* Employer: Juji, Inc.<br />
* Title: Intern<br />
* Location: Saratoga, CA<br />
* Deadline: open until all the positions are filled<br />
* Date Posted: January 14, 2016<br />
<br />
'''Description''': <br />
Have you ever watched the movie Her? Have you ever wondered or wished to have a virtual partner just like Samantha, who could tell you what you really are, whom your best partner may be, and even cheers you up? At Juji, we are building a hyper-personalized, virtual REP (Responsible, Empathetic Pal) for everyone. Your REP not only understands who you are, including your personality, motivations, and strengths, but it can also chat with you to learn and help fulfill your certain needs. <br />
<br />
We are seeking highly motivated and talented students, who are eager to help us tackle great technical challenges at Juji and to expand their knowledge and skills in the real world. We are especially interested in students who have had worked or love to work in the following areas: Artificial Intelligence, Natural Language Processing/Natural Language Generation, Machine Learning, Human-Computer Interaction, Information Visualization/Visual Analytics, and Cognitive Science.<br />
<br />
We have multiple positions on two main tracks:<br />
<br />
* Software development. If you love to create amazing software technologies and systems for real users, this is the track for you. You are expected to own and deliver a relatively independent project that will contribute to our cutting-edge product development effort.<br />
<br />
* Scientific research. If you love to design and conduct scientific experiments to answer a specific set of research questions, this is the track for you. You will work on a government funded research project on understanding human trust in a digital environment. You are expected to play a critical role in designing and conducting novel research studies and writing papers that lead to scientific publications.<br />
<br />
'''Qualifications'''<br />
Outstanding current students towards a bachelor or higher degree in the area of Computer Science, Computer Engineering, or equivalent disciplines are encouraged to apply. Strong software development or visual design skills are a plus. <br />
<br />
'''To apply''': Please email a copy of your resume to the following address: jobs@juji-inc.com with a subject line “Summer Internship 2016”, and state your track preference in your email body. <br />
<br />
<br />
<br />
==Postdoctoral Fellow in Natural Language Processing / AI at Brigham and Women's Hospital / Harvard Medical School==<br />
* Employer: Brigham and Women's Hospital / Harvard Medical School<br />
* Title: Postdoctoral Research Fellow<br />
* Topics: Natural Language Processing, Artificial Intelligence, Predictive Modeling<br />
* Location: Boston, MA<br />
* Deadline: Open until filled<br />
* Date Posted: January 8, 2016<br />
* Contact: Alexander Turchin (aturchin@bwh.harvard.edu)<br />
<br />
'''Research focus''': the Fellow will work in a multi-disciplinary team of artificial intelligence scientists, informaticians, biostatisticians, and clinicians on projects involving development of high-dimensional predictive models in medicine. The models will be based on data from a large integrated healthcare system and will utilize a combination of artificial intelligence and natural language processing of multiple narrative document streams.<br />
<br />
'''Supervisor''': Alexander Turchin, MD, MS, FACMI<br />
<br />
'''Required skills''': experience with natural language processing; ability to design and conduct effective research studies; strong analytical, scientific writing, presentation and communication skills; strong programming and system development skills. Experience with artificial intelligence technologies, predictive modeling, Big Data and medical terminologies / ontologies is a strong plus.<br />
<br />
'''Education''': PhD in computer science, biomedical informatics, linguistics, or a related discipline; MD or an equivalent degree.<br />
<br />
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.<br />
<br />
'''Available''': Immediately.<br />
<br />
'''Compensation''': according to NIH (NRSA) stipend levels.<br />
<br />
'''To apply''': send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=People&diff=11843People2017-04-21T01:52:22Z<p>Pdturney: /* T */</p>
<hr />
<div>This is a list of homepages of researchers in Computational Linguistics, in the form '''last name, first name - affiliation'''. <br />
<br />
See also [[Academic genealogy]], the genealogy of people with academic degrees, based on graduate supervisors being 'parents' and their graduate students being 'children'.<br />
<br />
== A ==<br />
<br />
*[http://littera.deusto.es/prof/abaitua Abaitua, Joseba] - Universidad de Deusto<br />
*[http://tony.abou-assaleh.net Abou-Assaleh, Tony] - Dalhousie University<br />
*[http://www-personal.umich.edu/~ladamic/ Adamic, Lada] - University of Michigan<br />
*[http://www.cond.org/ Adar, Eytan] - University of Washington<br />
*[http://www.dfki.de/~janal/ Alexandersson, Jan] - German Research Center for Artificial Intelligence<br />
*[http://www.ics.uci.edu/~boris Aleksandrovsky, Boris] UC Irvine<br />
*[http://www-scf.usc.edu/~alcazar/ Alcázar, Asier] - University of Southern California<br />
*[http://alfonseca.org/ Alfonseca, Enrique] - Google<br />
*[http://ixa.si.ehu.es/Ixa/Argitalpenak/kidearen_argitalpenak?kidea=1000808989 Alegria, Iñaki] - University of the Basque Country<br />
*[http://www.dfki.de/~janal/ Alexandersson, Jan] German Research Center for Artificial Intelligence<br />
*[http://www.cs.rochester.edu/u/james/ Allen, James] - University of Rochester<br />
*[http://www.dc.fi.udc.es/~alonso/ Alonso, Miguel A.]<br />
*[http://www.linguist.jussieu.fr/~amsili/ Amsili, Pascal] - University of Paris 7 - Denis Diderot<br />
*[http://www.aueb.gr/users/ion/ Androutsopoulos, Ion] - Athens University of Economics and Business<br />
*[http://clwww.essex.ac.uk/~doug/ Arnold, Doug] Univ. of Essex<br />
*[http://www.ai.sri.com/~appelt/ Appelt, Doug ] SRI International<br />
*[http://korpus.dsl.dk/staff/ja/ Asmussen, Jörg] - DSL - Society for Danish Language and Literature, Copenhagen<br />
*[http://www.carleton.ca/~asudeh/ Asudeh, Ash] - Carleton University <br />
*[http://www.coli.uni-sb.de/~tania/ Avgustinova, Tania] - Universität des Saarlandes<br />
<br />
== B ==<br />
<br />
*[http://www.cs.cmu.edu/~klb Baker, Kathryn] - Carnegie Mellon University<br />
*[http://comp.ling.utexas.edu/jbaldrid/ Baldridge, Jason] - University of Texas at Austin<br />
*[http://www.cs.mu.oz.au/~tim/ Baldwin, Timothy] - University of Melbourne<br />
*[http://www.georgetown.edu/cball/cball.html Ball, Catherine] - Georgetown University<br />
*[http://www.cs.cmu.edu/~banerjee Banerjee, Satanjeev] - Carnegie Mellon University<br />
*[http://www.lsi.upc.es/~batalla Batalla,Jordi Atserias] - UPC, Spain<br />
*[http://www5.informatik.uni-erlangen.de/Personen/batliner/ Batliner, Anton] - Friedrich-Alexander-Universität Erlangen-N&uuml;rnberg<br />
*[http://www.dfki.de/~becker Becker, Tilman] - DFKI Saarbruecken, Germany<br />
*[http://faculty.washington.edu/ebender Bender, Emily] - University of Washington<br />
*[http://homepages.infoseek.com/~corpuslinguistics/homepage.html Berber,Tony] Sardinha<br />
*[http://richard.bergmair.eu/ Bergmair, Richard] University of Cambridge<br />
*[http://wortschatz.uni-leipzig.de/~cbiemann/ Biemann, Chris] - University of Leipzig, Germany<br />
*[http://www.dai.ed.ac.uk/students/kimb Binsted, Kim] University of Edinburgh<br />
*[http://www.cs.mu.oz.au/~sb/ Bird, Steven] - University of Melbourne<br />
*[http://seneca.uab.es/filfrirom/Blanco.html Blanco, Xavier] - Autonomous University of Barcelona<br />
*[http://www.pdg.cnb.uam.es/blaschke/personalPage.html Blaschke, Christian]<br />
*[http://www.dcs.shef.ac.uk/~kalina/ Boncheva, Kalina] Univ. of Sheffield]<br />
*[http://www.dcs.shef.ac.uk/~kalina/ Bontcheva, Kalina] - Univ. of Sheffield<br />
*[http://www3.ntu.edu.sg/home/fcbond/ Bond, Francis] - Nanyang Technological University, Singapore<br />
*[http://www.let.rug.nl/bos/ Bos, Johan] - University of Groningen<br />
*[http://www.iro.umontreal.ca/~boufaden/ Boufaden, Narjès] - University of Montreal<br />
*[http://www.let.rug.nl/~gosse Bouma, Gosse] - University of Groningen<br />
*[http://www.nyu.edu/projects/bowman Bowman, Sam] - New York University<br />
*[http://www.di.fc.ul.pt/~ahb/ Branco, Antonio] - University of Lisbon<br />
*[http://www.karlbranting.net Branting, Karl]<br />
*[http://coli.uni-sb.de/~thorsten Brants, Thorsten] - University of Saarland<br />
*[http://www.coli.uni-sb.de/~brawer Brawer, Sascha] - University of the Saarland<br />
*[http://www.cs.cornell.edu/~ebreck Breck, Eric] - Cornell University<br />
*[http://clwww.essex.ac.uk/~andrewb/ Bredenkamp, Andrew]<br />
*[http://www.csse.monash.edu.au/~jwb/ Breen, Jim] - Monash University<br />
*[http://www.cog.jhu.edu/faculty/brent.html Brent,Michael R.] Johns Hopkins University<br />
*[http://www.informatik.uni-leipzig.de/~brewka/ Brewka] - Gerhard, University of Leipzig<br />
*[http://www.xsoft.com/ Breyman, Clark] Xerox Linguistic Technologies<br />
*[http://research.microsoft.com/%7Ebrill/ Brill, Eric] - Microsoft Research<br />
*[http://www.cl.cam.ac.uk/users/ejb/ Briscoe, Ted] - University of Cambridge<br />
*[http://www.dfki.de/~paulb Buitelaar, Paul] - DFKI<br />
*[http://www.cs.utexas.edu/users/razvan/ Bunescu, Razvan] - University of Texas at Austin<br />
<br />
== C ==<br />
<br />
*[http://www.hinocatv.ne.jp/~price/ Caldwell, Price] - Meisei University<br />
*[http://www.acs.ilstu.edu/faculty/mecalif/calif.htm Califf,Mary Elaine] - Illinois State University<br />
*[http://ilk.uvt.nl/~sander/ Canisius, Sander] - Tilburg University<br />
*[http://www.cis.upenn.edu/~cliff-group/94/carberry.html Carberry, Sandra] - Univ. of Delaware, Univ. of Pennsylvania<br />
*[http://www.cs.cornell.edu/Info/Faculty/Claire_Cardie.html Cardie, Claire] - Cornell University<br />
*[http://www.cogs.susx.ac.uk/lab/nlp/carroll/carroll.html Carroll, John] - University of Sussex<br />
*[http://jones.ling.indiana.edu/~dcavar Cavar, Damir] - Indiana University, Bloomington<br />
*[http://tantek.com/map.html Celik, Tantek] - Technorati<br />
*[http://cer.freeshell.org Cer, Daniel] - University of Colorado at Boulder<br />
*[http://nlp.changwon.ac.kr/~jcha/ Cha, Jeongwon] - Changwon National University<br />
*[http://www.cs.uleth.ca/~chali Chali, Yllias] - University of Lethbridge<br />
*[http://www.cs.brown.edu/people/ec/home.html Charniak, Eugene] - Brown University<br />
*[http://iit-iti.nrc-cnrc.gc.ca/personnel/chen_boxing_e.html Chen, Boxing] - National Research Council<br />
*[http://www.ciscl.unisi.it/persone/chesi.htm Chesi, Cristiano] - CISCL, University of Siena<br />
*[http://www.isi.edu/~chiang Chiang, David] - USC Information Sciences Institute<br />
*[http://www.alphabit.net/Docente/docente_eng.htm Chiari, Isabella] - University "La Sapienza" of Rome<br />
*[http://korterm.kaist.ac.kr/kschoi/ Choi, Key-Sun] - Korea Advanced Institute of Science and Technology<br />
*[http://web.mit.edu/afs/athena.mit.edu/org/l/linguistics/www/chomsky.home.html Chomsky, Noam] - MIT<br />
*[http://research.microsoft.com/users/church/ Church, Kenneth] - Microsoft Research<br />
*[http://www.dcs.shef.ac.uk/~fabio/ Ciravegna, Fabio] - University of Sheffield<br />
*[http://web.comlab.ox.ac.uk/oucl/work/stephen.clark/ Clark, Stephen] - University of Oxford<br />
*[http://compbio.uchsc.edu/Hunter_lab/Cohen Cohen, Kevin Bretonnel] - U. Colorado School of Medicine<br />
*[http://people.csail.mit.edu/u/m/mcollins/public_html/ Collins, Michael] - MIT Computer Science and Artificial Intelligence Laboratory<br />
*[http://www.cl.cam.ac.uk/users/aac10/ Copestake, Ann] - University of Cambridge<br />
*[http://lands.let.kun.nl/TSpublic/coppen Coppen, Peter-Arno] - University of Nijmegen, The Netherlands<br />
*[http://plg.uwaterloo.ca/~gvcormac/ Cormack, Gordon] - University of Waterloo<br />
*[http://www.psych.qub.ac.uk/staff/teaching/cowie/index.aspx Cowie, Roddy] - Queen's University, Belfast<br />
*[http://www.biostat.wisc.edu/~craven/ Craven, Mark] - University of Wisconsin<br />
*[http://www2.ulster.ac.uk/staff/n.creaney.html Creaney, Norman] - University of Ulster<br />
*[http://www.dia.uniroma3.it/~crescenz/ Crescenzi, Valter] - Università Roma Tre<br />
*[http://thor.info.uaic.ro/~dcristea/ Cristea, Dan] - University of Iasi<br />
*[http://www.harlequin.com/ Crowe, Jeremy] - Harlequin Ltd.<br />
*[http://www.dcs.shef.ac.uk/~hamish Cunningham, Hamish] - University of Sheffield<br />
*[http://www-users.cs.york.ac.uk/~jc/ Cussens, James] - University of York<br />
<br />
== D ==<br />
*[http://www.clips.uantwerpen.be/~walter/ Daelemans, Walter] - University of Antwerp<br />
*[http://www.cs.biu.ac.il/~dagan/ Dagan, Ido] - Bar Ilan University, Israel<br />
*[http://conversational-technologies.com Dahl, Deborah] - Conversational Technologies<br />
*[http://stl.recherche.univ-lille3.fr/sitespersonnels/dal/index.html Dal, Georgette] - Universite de Lille<br />
*[http://www.ics.mq.edu.au/~rdale Dale, Robert] - Centre for Language Technology, Macquarie University<br />
*[http://www.cs.utah.edu/~hal/ Daumé III, Hal] - University of Utah<br />
*[http://davies-linguistics.byu.edu Davies, Mark] - Brigham Young University<br />
*[http://cs.haifa.ac.il/~edaya Daya, Ezra] - NICE Systems Ltd.<br />
*[http://www.csi.uottawa.ca/~delannoy Delannoy, Jean-Francois] - University of Ottawa<br />
*[http://www.uqtr.uquebec.ca/~delisle/index.html Delisle, Sylvain] UQTR<br />
*[http://comp.ling.utexas.edu/denis Denis, Pascal] - University of Texas at Austin<br />
*[http://www.math.bas.bg/~iad/ Derzhanski, Ivan] - Bulgarian Academy of Sciences<br />
*[http://www.ling.ohio-state.edu/~dm/ Detmar Meurers, Walt] - The Ohio State University Linguistics Dept.<br />
*[http://www.limsi.fr/Individu/devil/ Devillers, Laurence] - LIMSI<br />
*[http://ixa.si.ehu.es/Ixa/Argitalpenak/kidearen_argitalpenak?kidea=1000808994 Díaz de Ilarraza, Arantza] - University of Basque Country<br />
*[http://www.cs.umd.edu/users/bonnie/ Dorr, Bonnie] - University of Maryland<br />
*[http://www.nyu.edu/pages/linguistics/doughert.html Dougherty, Ray] - New York University<br />
*[http://www.ai.sri.com/~dowding Dowding, John] - SRI<br />
*[http://www.pcug.org.au/~jdowling/ Dowling, Jason] PC Users Group ACT Inc., Canberra, Australia<br />
<br />
== E ==<br />
<br />
*[http://www.uni-bielefeld.de/lili/personen/cebert/ Ebert, Christian] - University of Bielefeld<br />
*[http://www.ims.uni-stuttgart.de/~eckle/ Eckle-Kohler, Judith]<br />
*[http://www.philipedmonds.com/ Edmonds, Philip] - University of Toronto<br />
*[http://cs.jhu.edu/~jason Eisner, Jason] - Johns Hopkins University<br />
*[http://www.cs.bgu.ac.il/~elhadad/ Elhadad, Michael] - Ben-Gurion University of the Negev<br />
*[http://www.cogsci.ed.ac.uk/~marke/ Ellison, T. Mark] - University of Edinburgh<br />
*[http://www.ik.fh-hannover.de/ik/person/ben/ben.htm Endres-Niggemeyer, Brigitte] FH Hannover<br />
*[http://www.sciences.univ-nantes.fr/info/perso/permanents/enguehard/ Enguehard, Chantal] - Laboratoire d'Informatique de Nantes Atlantique<br />
*[http://coli.uni-sb.de/~erbach/ Erbach, Gregor] - Universität des Saarlandes<br />
*[http://nl.ijs.si/et/ Erjavec, Tomaz]<br />
*[http://comp.ling.utexas.edu/erk/ Erk, Katrin] - University of Texas at Austin<br />
*[http://www.cogsci.uni-osnabrueck.de/~severt/ Evert, Stefan] - University of Osnabrück<br />
<br />
== F ==<br />
<br />
*[http://slt.wcl.ee.upatras.gr/Fakotakis/personal.htm Fakotakis, Nikos] - University of Patras<br />
*[http://www.phon.ucl.ac.uk/home/alex/home.htm Fang, Alex Chengyu] - University College London<br />
*[http://www.purl.org/net/fa Feldman, Anna] - Montclair State University<br />
*[http://wordnet.princeton.edu/~fellbaum/ Fellbaum, Christiane] - Princeton University<br />
*[http://ling.cuc.edu.cn/htliu/feng/feng.htm Feng, Zhiwei] - IAL of China<br />
*[http://staff.science.uva.nl/~raquel/ Fernandez, Raquel] - ILLC, University of Amsterdam<br />
*[http://www.cs.umbc.edu/~finin/ Finin, Tim] - University of Maryland, Baltimore County (UMBC)<br />
*[http://lingo.stanford.edu/dan/ Flickinger, Dan] - CSLI, Stanford University<br />
*[http://www.dlsi.ua.es/~mlf/ Mikel Forcada] - Universitat d'Alacant<br />
*[http://www.cse.ohio-state.edu/~fosler Fosler-Lussier, Eric] - The Ohio State University<br />
*[http://www.coli.uni-saarland.de/~fouvry/ Fouvry, Frederik]<br />
*[http://www.cs.brown.edu/people/hjf/ Fox, Heidi] - Brown University, Metacarta<br />
*[http://www.cs.technion.ac.il/~francez Francez, Nissim] - Technion, Israel<br />
*[http://www.cs.cmu.edu/~ref/ Frederking, Robert] - Carnegie-Mellon University<br />
*[http://www.ee.ust.hk/~pascale/ Fung, Pascale] - Hong Kong University of Science and Technology<br />
<br />
== G ==<br />
<br />
*[http://www.cs.technion.ac.il/~gabr Gabrilovich, Evgeniy]<br />
*[http://www.dcs.shef.ac.uk/~robertg/ Gaizauskas, Rob] - University of Sheffield<br />
*[http://www.sics.se/~gamback/ Gamback, Bjorn] - Swedish Institute of Computer Science<br />
*[http://www.dai.ed.ac.uk/students/narcisbg Gardella, Narcis Bassols] Univ. of Edinburgh<br />
*[http://www.coli.uni-sb.de/~claire/ Gardent, Claire] Universit&auml;t des Saarlandes<br />
*[http://www.gelbukh.com/ Gelbukh, Alexander] - CIC-IPN<br />
*[http://www.isi.edu/natural-language/people/germann/ Germann, Ulrich] - ISI<br />
*[https://netfiles.uiuc.edu/girju/index.html Girju, Roxana] - University of Illinois, Urbana-Champaign<br />
*[http://tcc.itc.it/people/giuliano.html Giuliano, Claudio] - ITC-irst<br />
*[http://www.uni-salzburg.at/portal/page?_pageid=425,405845&_dad=portal&_schema=PORTAL Goebl, Hans] - Univeristät Salzburg<br />
*[http://www.cs.ucf.edu/~gomez Gomez, Fernando] ucf<br />
*[http://www.esi.uem.es/~jmgomez Gomez-Hidalgo, Jose-Maria] - UEM<br />
*[http://www.linguistics.ucsb.edu/faculty/stgries/ Gries, Stefan Th.] - UCSB<br />
*[http://cs.nyu.edu/cs/faculty/grishman/ Grishman, Ralph] - New York University<br />
*[http://das-www.harvard.edu/users/faculty/Barbara_Grosz/Barbara_Grosz.html Grosz, Barbara] - Harvard University<br />
*[http://www-ksl.stanford.edu/people/gruber/ Gruber, Tom] - Stanford University<br />
*[http://www.cs.duke.edu/~cig Guinn, Curry I.] - Duke U.<br />
*[http://www.ukp.tu-darmstadt.de/ Gurevych, Iryna] - Darmstadt University of Technology<br />
*[http://www.cs.bilkent.edu.tr/~guvenir/guvenir.html Guvenir, Altay] - Bilkent University<br />
<br />
== H ==<br />
<br />
*[http://www.swan.ac.uk/french/web-content/staff/p-ten-hacken.html Hacken, Pius ten] - Swansea University<br />
*[http://www.coling.uni-freiburg.de/~hahn/hahn.html Hahn, Udo] - University of Freiburg<br />
*[http://ufal.mff.cuni.cz/~hajic Hajič, Jan] - Charles University in Prague<br />
*[http://www.linkedin.com/in/aaronhan Han, Aaron Li-Feng] - University of Macau<br />
*[http://www.comp.nus.edu.sg/~cuihang Hang, Cui] - National University of Singapore<br />
*[http://www.coli.uni-sb.de/~hansen Hansen-Schirra, Silvia] - Universität des Saarlandes<br />
*[http://renoir.vill.edu/faculty/hardt/html/home.html Hardt, Daniel] Villanova University<br />
*[http://128.147.244.54/dbmi/profile.cfm?ID=23751 Harkema, Henk] - University of Pittsburgh<br />
*[http://pi7.fernuni-hagen.de/hartrumpf/ Hartrumpf, Sven] - University of Hagen, Germany<br />
*[http://www.cis.udel.edu/~harvey/ Harvey, Terry]<br />
*[http://www.linguistik.uni-erlangen.de/~rrh/ Hausser, Roland] - University of Erlangen, Germany<br />
*[http://www.sims.berkeley.edu/~hearst Hearst, Marti] - UC Berkeley<br />
*[http://www.cse.ogi.edu/~heeman Heeman, Peter] - OGI<br />
*[http://homepages.inf.ed.ac.uk/jhender6/ Henderson, James] - University of Edinburgh<br />
*[http://www.asp.ogi.edu/~hynek/ Hermansky, Hynek] - Oregon Graduate Institute of Science and Technology<br />
*[http://www.isi.edu/~ulf/ Hermjakob, Ulf] - USC/ISI<br />
*[http://www.esi.uem.es/~jmgomez/ Hidalgo, José María Gómez] - Universidad Europea de Madrid<br />
*[http://www.ifi.unizh.ch/staff/hess.html Hess, Michael] - Univ. of Zurich, Switzerland<br />
*[http://www.cs.toronto.edu/~gh Hirst, Graeme] - University of Toronto<br />
*[http://www.isi.edu/~hobbs/ Jerry Hobbs] - USC/ISI<br />
*[http://www.cs.cmu.edu/~chogan Hogan, Christopher] - Carnegie-Mellon University<br />
*[http://www.isi.edu/natural-language/people/hovy.html Hovy, Eduard] - ISI<br />
*[http://ist-socrates.berkeley.edu/~jcl2/churen.htm Huang, Chu-Ren] - Academica Sinica<br />
*[http://www.cs.ucf.edu/~hull Hull, Richard] - University of Central Florida<br />
*[http://compbio.uchsc.edu/Hunter_lab/Hunter Hunter, Larry] - U. Colorado School of Medicine<br />
*[http://datamining.typepad.com/data_mining/ Hurst, Matthew] - BuzzMetrics<br />
*[http://ourworld.compuserve.com/homepages/WJHutchins/ Hutchins, John]<br />
*[http://www.cs.pitt.edu/~hwa Hwa, Rebecca] - University of Pittsburgh<br />
<br />
== I ==<br />
<br />
== J ==<br />
<br />
*[http://www.cis.upenn.edu/~cliff-group/94/pjacobs.html Jacobs, Paul] - General Electric<br />
*[http://www.stanford.edu/~tiflo Jaeger, T. Flroian] - Stanford University<br />
*[http://ist.psu.edu/faculty_pages/jjansen/ Jansen, Jim] - Penn State<br />
*[http://www.cs.nyu.edu/~hengji Ji, Heng] - New York University<br />
*[http://www.cog.brown.edu/~mj Johnson, Mark] - Brown University<br />
*[http://www.cogsci.ed.ac.uk/~bernie/ Jones, Bernie] University of Edinburgh<br />
*[http://www.ida.liu.se/~arnjo/ Jönsson, Arne] - Linkoping University<br />
<br />
== K ==<br />
*[http://cs.joensuu.fi/~tkakkone Kakkonen, Tuomo] - University of Joensuu<br />
*[http://www.ai.sri.com/~megumi Kameyama, Megumi] - SRI International<br />
*[http://www.comp.nus.edu.sg/~kanmy Kan, Min-Yen] - National University of Singapore<br />
*[http://users.utu.fi/karhumak/ Karhumaki, Juhani] - University of Turku<br />
*[http://www.sics.se/~jussi/ Karlgren, Jussi] - SICS, Sweden<br />
*[http://www2.parc.com/istl/members/karttune/ Karttunen, Lauri]<br />
*[http://elex.amu.edu.pl/ifa/staff/kaszubski.html Kaszubski, Przemys&#322;aw] - Adam Mickiewicz University<br />
*[http://www.cs.utexas.edu/users/rjkate/ Kate, Rohit J.] - University of Texas at Austin<br />
*[http://www-users.cs.york.ac.uk/~kazakov/ Kazakov, Dimitar] - University of York<br />
*[http://homepages.inf.ed.ac.uk/keller/ Keller, Frank] - University of Edinburgh<br />
*[http://www.cs.dal.ca Keselj, Vlado] Dalhousie University<br />
*[http://www.mabidkhan.com/ Khan, Abid] - University of Peshawar, Pakistan<br />
*[http://www.itri.bton.ac.uk/~Adam.Kilgarriff Kilgarriff, Adam] - University of Brighton<br />
*[http://www.cs.wisc.edu/~sklein/sklein.html Klein, Sheldon] - University of Wisconsin<br />
*[http://www.isi.edu/~knight/ Knight, Kevin] - ISI<br />
*[http://www.ims.uni-stuttgart.de/~kobdani/ Kobdani, Hamidreza] - University of Stuttgart<br />
*[http://www.iccs.inf.ed.ac.uk/~pkoehn/ Koehn, Philipp] - University of Edinburgh<br />
*[http://svenska.gu.se/~svedk Kokkinakis, Dimitrios] - Göteborg University<br />
*[http://www.cs.ualberta.ca/~kondrak/ Kondrak, Grzegorz] - University of Alberta<br />
*[http://www.coli.uni-saarland.de/~kordoni/ Kordoni, Valia] - Universität des Saarlandes<br />
*[http://www.kornai.com/ Kornai, Andras]<br />
*[http://www.ling.helsinki.fi/~koskenni/ Koskenniemi, Kimmo] - University of Helsinki<br />
*[http://users.encs.concordia.ca/~kosseim/ Kosseim, Leila] - Concordia University, Montreal<br />
*[http://www.dlsi.ua.es/~zkozareva/ Kozareva, Zornitsa] - University of Alicante<br />
*[http://dis.tpd.tno.nl/mmts/wessel_kraaij.html Kraaij, Wessel] - TNO<br />
*[http://www-sk.let.uu.nl Krauwer, Steven, ELSNET] - Utrecht University<br />
*[http://external.nj.nec.com/homepages/krovetz/ Krovetz, Robert] NEC<br />
*[http://www.peter-kuehnlein.net/ Kuehnlein, Peter] - University of Groningen<br />
*[http://jones.ling.indiana.edu/~skuebler/ Kuebler, Sandra] - Indiana University, Bloomington<br />
*[http://www.jkk.name/ Kummerfeld, Jonathan K.] - University of Michigan<br />
*[http://www.cs.ucd.ie/staff/nick/ Kushmerick, Nicholas] - University College, Dublin<br />
<br />
== L ==<br />
<br />
*[http://www.ling.gu.se/~lager/ Lager, Torbjörn] - Göteborg University<br />
*[http://www.ict.csiro.au/staff/Andrew.Lampert/ Lampert, Andrew] - CSIRO ICT Centre / Macquarie University<br />
*[http://www.cs.cmu.edu/~ianlane/ Lane, Ian] - Carnegie Mellon University<br />
*[http://hlt.fbk.eu/en/people/lavelli/ Lavelli, Alberto] - FBK-IRST<br />
*[http://www-personal.umich.edu/~jlawler/index.html Lawler, John] - University of Michigan<br />
*[http://nlp.postech.ac.kr/~gblee Lee, Geunbae] - POSTECH<br />
*[http://www.cs.cornell.edu/home/llee Lee, Lillian] - Cornell University<br />
*[http://www.cs.bham.ac.uk/~mgl Lee, Mark] - University of Birmingham<br />
*[http://www.ling.lancs.ac.uk/staff/geoff/geoff.htm Leech, Geoffrey] - Professor LAMEL, Lancaster University, UK<br />
*[http://jochenleidner.com/ Leidner, Jochen L.] - Research Scientist, Thomson Reuters Corporation<br />
*[http://sites.google.com/site/olemon Lemon, Oliver] - Heriot-Watt University<br />
*[http://www.ilc.cnr.it/~lenci/ Lenci, Alessandro] - Università di Pisa<br />
*[http://people.cs.uchicago.edu/~levow/ Levow, Gina-Anne] - University of Chicago<br />
*[http://www.cc.gatech.edu/~baoli/ Li, Baoli] - Georgia Institute of Technology<br />
*[http://www1.i2r.a-star.edu.sg/~hli/ Li, Haizhou] - Institute for Infocomm Research, Singapore<br />
*[http://www.ling.upenn.edu/~myl/ Liberman, Mark] - University of Pennsylvania<br />
*[http://www.isi.edu/~cyl/ Lin, Chin-Yew] USC/ISI<br />
*[http://www.cs.ualberta.ca/~lindek/ Lin, Dekang] - University of Alberta<br />
*[http://htliu.yeah.net/ Liu, Haitao] - Communication University of China<br />
*[http://nlp.ict.ac.cn/~liuqun/index_en.htm Liu, Qun] - Institute of Computing Technology, CAS<br />
*[http://mtgroup.ict.ac.cn/~liuyang/ Liu, Yang] - Institute of Computing Technology, CAS<br />
*[http://ufal.mff.cuni.cz/~lopatkova Lopatková, Markéta] Charles University in Prague<br />
*[http://terra.di.fct.unl.pt/~gpl/ Lopes, Gabriel] New University of Lisbon<br />
*[http://www.langnat.com/~loupy/index-en.html Loupy, Claude de] - Universite de Paris X Nanterre<br />
*[http://www.personal.psu.edu/xxl13 Lu, Xiaofei] - Pennsylvania State University<br />
<br />
== M ==<br />
<br />
*[http://www.soi.city.ac.uk/~andym/ MacFarlane, Andrew] - City University of London<br />
*[http://www.desilinguist.org Madnani, Nitin] - Educational Testing Service<br />
*[http://www-cs-students.Stanford.EDU/~magerman Magerman, David] - Stanford University<br />
*[http://tcc.itc.it/people/magnini.html Magnini, Bernardo] - ITC-IRST<br />
*[http://www.karacaymalkar.com Malkar, Karacay] - Webportal<br />
*[http://www.rohan.sdsu.edu/~malouf Malouf, Rob] - San Diego State University<br />
*[http://www.sultry.arts.usyd.edu.au/ Manning, Christopher] - University of Sydney<br />
*[http://www.demarcken.org/carl/ de Marcken, Carl] ITA Software<br />
*[http://www.isi.edu/~marcu/ Marcu, Daniel] - USC/ISI<br />
*[http://overstated.net/about Marlow, Cameron] - Yahoo! Research<br />
*[http://www.limsi.fr/Individu/martin/ Martin,Jean-Claude] - LIMSI<br />
*[http://www.yorku.ca/jmason/ Mason, James A.] - York University<br />
*[http://www.ics.mq.edu.au/~mpawel Mazur, Pawel] - Wroclaw University of Technology and Macquarie University<br />
*[http://www.informatics.susx.ac.uk/research/nlp/mccarthy/mccarthy.html McCarthy, Diana] - University of Sussex<br />
*[http://homepages.inf.ed.ac.uk/mmcconvi McConville, Mark] - University of Edinburgh<br />
*[http://alum.mit.edu/www/davidmcdonald/ McDonald, David] - Smart Information Flow Technologies (SIFT)<br />
*[http://www.cs.columbia.edu/~kathy McKeown, Kathy] Columbia University<br />
*[http://www.eecis.udel.edu/~mccoy/ McKoy, Kathy] - University of Delaware<br />
*[http://stp.lingfil.uu.se/~bea Megyesi, B. Beata] - Uppsala University<br />
*[http://cs.nyu.edu/~melamed Melamed, I. Dan] - New York University<br />
*[http://www.gabormelli.com Melli, Gabor] - PredictionWorks Inc.<br />
*[http://www.latl.unige.ch/personal/paola.html Merlo, Paola] - University of Geneva<br />
*[http://www.ling.ohio-state.edu/~dm/ Meurers, Walt Detmar] OH State Linguistics<br />
*[http://www.csse.uwa.edu.au/~fontor/ Midgley, T. Daniel] - University of Western Australia<br />
*[http://www.cs.unt.edu/~rada Mihalcea, Rada] - University of North Texas<br />
*[http://www.cis.upenn.edu/~elenimi/ Miltsakaki, Eleni] - University of Pennsylvania<br />
*[http://www.ics.mq.edu.au/~mariam Milosavljevic, Maria] - Macquarie University<br />
*[http://coli.uni-sb.de/~mineur Mineur, Anne-Marie] University of the Saarland / Utrecht University<br />
*[http://imaginarycartography.com/work.html Minor, Joshua T.] - Cataphora, Inc.<br />
*[http://staff.science.uva.nl/~gilad/ Mishne, Gilad] - University of Amsterdam<br />
*[http://www.wlv.ac.uk/~le1825/main.html Mitkov, Ruslan] - University of Wolverhampton<br />
*[http://www.let.rug.nl/~begona/ Moirón, Begoña Villada] - University of Groningen<br />
*[http://www.ifi.unizh.ch/~molla/ Molla-Aliod, Diego] - University of Zurich<br />
*[http://www.dcs.qmul.ac.uk/~christof/ Monz, Christof] - University of Amsterdam (ILLC)<br />
*[http://www.cs.utexas.edu/users/mooney/ Mooney, Raymond J.] - University of Texas at Austin<br />
*[http://www.signiform.com/erik/ Mueller, Erik] - IBM Research<br />
*[http://www.xn--stefan-mller-klb.net/ Müler, Stefan] - Universität Bremen<br />
*[http://www.ukp.tu-darmstadt.de/people/mueller/ Müller, Christof] - Darmstadt University of Technology<br />
*[http://www.dlsi.ua.es/eines/membre.cgi?id=eng&nom=rafael&tipus=pdi Muñoz, Rafael] - University of Alicante<br />
*[http://www.puran.info Malik, Abbas] - GETALP - LIG, Université de Grenoble<br />
<br />
== N ==<br />
<br />
*[http://www.cs.utexas.edu/users/ai-lab/people/grad/nahm.html Nahm, Un Yong] - University of Texas, Austin<br />
*[http://www.univ-nancy2.fr/pers/namer/ Namer, Fiammetta] - University of Nancy<br />
*[http://www.lr.pi.titech.ac.jp/~nanno/index.cgi?page=Tomoyuki+NANNO Nanno, Tomoyuki] - Tokyo Institute of Technology<br />
*[http://www.dlsi.ua.es/~borja/ Navarro, Borja] - University of Alicante, Spain<br />
*[http://tcc.itc.it/people/negri.html Negri, Matteo] - ITC-irst<br />
*[http://www.let.rug.nl/~nerbonne Nerbonne, John] - University of Groningen<br />
*[http://cl-www.dfki.uni-sb.de/~neumann Neumann, Guenter] - DFKI, Saarbrücken<br />
*[http://www.comp.nus.edu.sg/~nght Ng, Hwee Tou] - National University of Singapore<br />
*[http://www.hlt.utdallas.edu/~vince Ng, Vincent] - University of Texas at Dallas<br />
*[http://jdpowerwebintelligence.com/ Nicolov, Nicolas] - J.D. Power and Associates, McGraw-Hill<br />
*[http://www.slt.atr.co.jp/~night/ Nightingale, Stephen] - ATR Institute International<br />
*[http://homepages.inf.ed.ac.uk/mnissim/ Nissim, Malvina] - University of Bologna<br />
*[http://www.comp.nus.edu.sg/~niuzheng Niu, Zheng-Yu] - NU Singapore<br />
*[http://w3.msi.vxu.se/~nivre/ Nivre, Joakim] - Växjö University<br />
*[http://www.cs.berkeley.edu/~russell/norvig.html Norvig, Peter]<br />
<br />
== O ==<br />
<br />
*[http://www.ltg.ed.ac.uk/~jon/ Oberlander, Jon] - U. Edinburgh<br />
*[http://people.sabanciuniv.edu/oflazer/ Oflazer, Kemal] - Sabanci University, Istanbul, Turkey<br />
*[http://www.loa-cnr.it/oltramari.html Oltramari, Alessandro] - Laboratory for Applied Ontology, Italian National Research Council<br />
*[http://www.wlv.ac.uk/~in6093/ Orasan, Constantin] - University of Wolverhampton<br />
*[http://www.bultreebank.org/petya/OsenovaPub.html Osenova, Petya] - Bulgarian Academy of Sciences<br />
<br />
== P ==<br />
<br />
<br />
*[http://cst.dk/patrizia/ Paggio, Patrizia] - University of Copenhagen<br />
*[http://www.slt.atr.co.jp/~kpaik/ Paik, Kyonghee] - ATR Spoken Language Translation Research Laboratories<br />
*[http://www.cs.cornell.edu/People/pabo Pang, Bo] - Cornell University<br />
*[http://verbs.colorado.edu/~mpalmer/ Palmer, Martha] - University of Colorado<br />
*[http://www.isi.edu/~pantel/ Pantel, Patrick] - ISI/University of Southern California<br />
*[http://www.cs.columbia.edu/~becky/ Passonneau, Rebecca] Columbia University and Bellcore<br />
*[http://www.ilsp.gr/homepages/pastra_eng.html/ Pastra, Katerina] Institute for Language and Speech Processing<br />
*[http://www.cs.utah.edu/~sidd Patwardhan, Siddharth] - University of Utah<br />
*[http://www.l2f.inesc-id.pt/~joana/english.html Paulo Pardal] - Joana L&sup2;F] - INESC-ID<br />
*[http://perswww.kuleuven.be/yves_peirsman Peirsman, Yves] - University of Leuven<br />
*[http://www.d.umn.edu/~tpederse Pedersen, Ted] - University of Minnesota, Duluth<br />
*[http://ai-nlp.info.uniroma2.it/pennacchiotti Pennacchiotti, Marco] - University of Roma Tor Vergata<br />
*[http://www.perry.com/ Perry, John] - UCLA<br />
*[http://tcc.itc.it/people/pianesi.html Pianesi, Fabio] - ITC-irst <br />
*[http://www.resegone.com/mapb/ Piccolino Boniforti, Marco Aldo] - Rovira i Virgili University<br />
*[http://cswww.essex.ac.uk/staff/poesio Poesio, Massimo] - University of Essex<br />
*[http://www.fas.umontreal.ca/ling/olst/polguereE Polguere, Alain] - Université de Montréal<br />
*[http://fas.sfu.ca/0h/cs/people/Faculty/Popowich/popowich Popowich, Fred] - Simon Fraser University<br />
*[http://nlp.ipipan.waw.pl/~adamp/ Przepiórkowski, Adam] - Polish Academy of Sciences, Warsaw<br />
*[http://www.ling-phil.ox.ac.uk/people/staff/pulman/ Pulman, Stephen] - Oxford University<br />
*[http://www.cs.brandeis.edu/~jamesp Pustejovsky, James] - Brandeis University<br />
<br />
== Q ==<br />
<br />
== R ==<br />
<br />
*[http://www.eecs.umich.edu/~radev/ Radev, Dragomir] - University of Michigan<br />
*[http://www1.cs.columbia.edu/~rambow/ Rambow, Owen] - CCLS, Columbia University<br />
*[http://www.fask.uni-mainz.de/user/rapp Rapp, Reinhard] - Johannes Gutenberg-Universitaet Mainz<br />
*[http://www.cs.buffalo.edu/pub/WWW/faculty/rapaport/rapaport.html Rapaport, William J.] - SUNY Buffalo<br />
*[http://www.cam.sri.com/manny.html Rayner, Manny] SRI International<br />
*[http://www.cis.upenn.edu/~cliff-group/94/lrau.html Rau, Lisa]<br />
*[http://www.comp.lancs.ac.uk/computing/users/paul/ Rayson, Paul] - Lancaster University<br />
*[http://sivareddy.in Reddy, Siva] - University of York, Lexical Computing Ltd, UK<br />
*[http://www.csd.abdn.ac.uk/~ereiter Reiter, Ehud] - University of Aberdeen<br />
*[http://www.dfki.uni-sb.de/~bert Reithinger, Norbert] - Universität des Saarlandes<br />
*[http://www.reitter-it-media.de/ Reitter, David] - University of Edinburgh<br />
*[http://www.ai.mit.edu/~jrennie/ Rennie, Jason] - MIT<br />
*[http://umiacs.umd.edu/~resnik Resnik, Philip] - University of Maryland, College Park<br />
*[http://www.cs.utah.edu/~riloff/ Riloff, Ellen] - University of Utah<br />
*[http://www.cs.rochester.edu/u/ringger/ Ringger, Eric,] - University of Rochester<br />
*[http://www.di.ufpe.br/~jr Robin, Jacques, Federal] - University of Pernambuco, Brazil.<br />
*[http://www.univ-ab.pt/~vjr/ Rocio, Vitor] - Open University, Lisbon<br />
*[http://www.prodrigues.com/ Rodrigues, Paul] - Indiana University, Bloomington<br />
*[http://www.uteroemer.de/ Romer, Ute] University of Hanover<br />
*[http://www.people.cornell.edu/pages/mr249/ Rooth, Mats] - Cornell University<br />
*[http://l2r.cs.uiuc.edu Roth, Dan] - University of Illinois, Urbana-Champaign<br />
*[http://www.public.asu.edu/~droussi/ Roussinov, Dmitri] - Arizona State University<br />
*[http://www.hi.is/~eirikur/ Rögnvaldsson, Eiríkur] - University of Iceland<br />
*[http://www.uteroemer.de/ Römer, Ute] - University of Hanover<br />
*[http://people.csail.mit.edu/arum Rumshisky, Anna] - MIT<br />
*[http://rykov-cl.narod.ru/ Rykov, Vladimir]<br />
<br />
== S ==<br />
<br />
<br />
*[http://coli.uni-sb.de/~christer Samuelsson, Christer] Bell Labs<br />
*[http://ixa.si.ehu.es/Ixa/Argitalpenak/kidearen_argitalpenak?kidea=1000809006 Sarasola, Kepa] - University of the Basque Country<br />
*[http://www.cs.sfu.ca/~anoop/ Sarkar, Anoop] - currently at Simon Fraser University, formerly at University of Pennsylvania<br />
*[http://personalpages.manchester.ac.uk/staff/yutaka.sasaki/ Sasaki, Yutaka] - University of Manchester<br />
*[http://www.cog.jhu.edu/~savova/ Savova, Virginia] - MIT<br />
*[http://www.dei.unipd.it/~satta Satta, Giorgio] University of Padua<br />
*[http://www.dfki.de/~uschaefer Schaefer, Ulrich] - German Research Center for Artificial Intelligence<br />
*[http://www7.informatik.tu-muenchen.de/~scheler Scheler] - Gabriele, TU München<br />
*[http://www.ims.uni-stuttgart.de/~mike/ Schiehlen, Michael] - University of Stuttgart<br />
*[http://www.ims.uni-stuttgart.de/~schmid/ Schmid, Helmut] - University of Stuttgart<br />
*[http://www.kde.cs.uni-kassel.de/schmitz Schmitz, Christoph] - Universität Kassel<br />
*[http://www.schulteimwalde.de/ Schulte im Walde, Sabine] - Institute for Natural Language Processing, University of Stuttgart<br />
*[http://www.ics.mq.edu.au/~rolfs Schwitter, Rolf] - Macquarie University<br />
*[http://www.informatics.sussex.ac.uk/users/drs22/ Scott, Donia] - University of Sussex<br />
*[http://nlp.cs.nyu.edu/sekine Sekine, Satoshi] - New York University<br />
*[http://www.issco.unige.ch/en/staff/seretan/ Seretan, Violeta] - University of Geneva<br />
*[http://sites.google.com/site/khaledshaalan/ Shaalan, Khaled] - Cairo University<br />
*[http://www.cs.man.ac.uk/~shamsbaa/ Shams, Armin] - Metro College of Management Sciences, Manchester<br />
*[http://www.eecs.harvard.edu/~shieber/ Shieber, Stuart] - Harvard University<br />
*[http://mysite.verizon.net/sidner Sidner, Candy] - BAE Systems, AIT<br />
*[http://www.cs.rochester.edu/u/sikorski/ Sikorski, Teresa] - University of Rochester<br />
*[http://www.lingsoft.fi/~silvonen/ Silvonen, Mikko] - Lingsoft, Inc.<br />
*[http://www.bultreebank.org/kivs/ Simov, Kiril] - Bulgarian Academy of Sciences<br />
*[http://ltrc.iiit.net/anil Singh, Anil Kumar] - Language Technologies Research Centre (LTRC), International Institute of Information Technology (IIIT), Hyderabad, India<br />
*[http://www.cs.cmu.edu/~ssitaram/ Sitaram, Sunayana] - Language Technologies Institute, School of Computer Science, Carnegie Mellon University.<br />
*[http://www.utexas.edu/cola/centers/lrc/general/facultyhomes/jonathan.html Slocum, Jonathan] - The University of Texas at Austin<br />
*[http://www.cs.cmu.edu/~nasmith Smith, Noah] - Carnegie Mellon University<br />
*[http://www.cog.jhu.edu/faculty/smolensky.html Smolensky, Paul] - Johns Hopkins University<br />
*[http://www.ccl.umist.ac.uk/harold/ Somers, Harold] UMIST, Manchester<br />
*[http://www.ece.uiuc.edu/faculty/faculty.asp?rws Sproat, Richard] - University of Illinois, Urbana-Champaign<br />
*[http://www.coling.uni-freiburg.de/~staab/staab.html Staab, Steffen] - Freiburg University<br />
*[http://www.humnet.ucla.edu/humnet/linguistics/people/stabler/stabler.htm Stabler, Edward] - UCLA<br />
*[http://slt.wcl.ee.upatras.gr/stamatatos/personal.html Stamatatos, Efstathios] - University of Patras<br />
*[http://www.cs.toronto.edu/~suzanne/ Stevenson, Suzanne] - University of Toronto<br />
*[http://isl.ira.uka.de/~stiefel Stiefelhagen, Rainer] - Universität Karlsruhe<br />
*[http://www.coling.uni-freiburg.de/~strube/strube.html Strube, Michael] - University of Freiburg<br />
*[http://lvs004.googlepages.com Subramaniam, L. Venkata] - IBM India Research Lab<br />
*[http://www.csi.uottawa.ca/~szpak/ Szpakowicz, Stan] - University of Ottawa<br />
<br />
== T ==<br />
<br />
*[http://www.sfu.ca/~mtaboada Taboada, Maite] - Simon Fraser University<br />
*[http://hnk.ffzg.hr/mt/ Tadic, Marko] - Faculty of Philosophy, University of Zagreb<br />
*[http://www.ling.helsinki.fi/~tapanain Tapanainen, Pasi] - University of Helsinki<br />
*[http://www8.informatik.uni-erlangen.de/inf8/en/thabet.html Thabet, Iman] - University of Erlangen-Nuremberg<br />
*[http://www.siit.tu.ac.th/dirctory/ft_fac/thanaruk.html Theeramunkong, Thanaruk] - Sirindhorn International Institute of Technology, Thammasat University<br />
*[http://www.objs.com/thompson.htm Thompson, Craig] - Object Services and Consulting, Inc.<br />
*[http://www.let.rug.nl/~tiedeman/blog/index.php?category=1 Tiedemann, Jörg] - University of Groningen<br />
*[http://lia.univ-avignon.fr/chercheurs/torres/ Torres-Moreno, Juan-Manuel] - LIA, Université d'Avignon (France)<br />
*[http://tecfa.unige.ch/tecfa-people/traum.html Traum, David] - TECFA, Universite de Geneve<br />
*[http://www.hum.uit.no/a/trond/ Trosterud, Trond] - University of Tromsø<br />
*[http://www.racai.ro/~tufis/ Tufis, Dan] - Research Institute for Artificial Intelligence, Romanian Academy<br />
*[http://www.apperceptual.com/ Turney, Peter] - Gatineau, Canada<br />
<br />
== U ==<br />
<br />
*[http://www.coli.uni-sb.de/~hansu Uszkoreit, Hans] - University of the Saarland and DFKI Saarbrücken<br />
<br />
== V ==<br />
<br />
*[http://www.q-go.com/ van de Burgt, Stan P.] - Q-go.com<br />
*[http://www.ccl.kuleuven.be/~vincent/ccl/ Vandeghinste, Vincent] - K.U.Leuven<br />
*[http://ilk.uvt.nl/~antalb/ van den Bosch, Antal] - Tilburg University<br />
*[http://www.media.mit.edu/~nwv/ Van Dyke, Neil] - MIT Media Lab<br />
*[http://www.let.rug.nl/~vannoord/ van Noord, Gertjan] University of Groningen<br />
*[http://www.ua.es/personal/chelo.vargas Vargas, Chelo Sierra] - Universidad de Alicante<br />
*[http://grid.let.rug.nl/~mettina/ Veenstra, Mettina] University of Groningen<br />
*[http://www.cs.brandeis.edu/~marc/home.html Verhagen, Marc] - Brandeis University<br />
*[http://www.up.univ-mrs.fr/veronis/ Véronis, Jean] - Université de Provence<br />
*[http://www.dlsi.ua.es/~vicedo/vicedo_en.html Vicedo, Jose Luis] - Alicante University<br />
*[http://www.inf.unisinos.br/~renata/ Vieira, Renata] - Universidade do Vale do Rio dos Sinos, Brazil<br />
*[http://www.cl.cam.ac.uk/~av208/ Villavicencio, Aline] - Federal University of Rio Grande do Sul, Brazil<br />
*[http://home.planet.nl/~weiss075/ Vossen, Piek] Irion Technologies<br />
*[http://www.ling.helsinki.fi/~avoutila/ Voutilainen, Atro] - University of Helsinki<br />
<br />
== W ==<br />
<br />
*[http://www.dfki.de/~wahlster/ Wahlster, Wolfgang] - Universität des Saarlandes<br />
*[http://www.uindy.gr/faculty/cv/wallace_manolis/ Wallace, Manolis] - National Technical University of Athens<br />
*[http://www.cs.cmu.edu/~yww/ Wang, William Yang] - Carnegie Mellon University<br />
*[http://www.nigelward.com/ Ward, Nigel]<br />
*[http://www.ribbitsoft.com/research/watson/index.html Watson, Bruce] Ribbit Soft.<br />
*[http://hiplab.newcastle.edu.au/~pwatters Watters, Paul A. ] U. of Newcastle, Australia<br />
*[http://www.nick-webb.net Webb, Nick] - SUNY Albany<br />
*[http://www.pages.drexel.edu/~rw37/ Weber, Rosina] - Drexel University<br />
*[http://www.ucsc.cmb.ac.lk/People/rw Weerasinghe, Ruvan] - University of Colombo School of Computing<br />
*[http://www.latl.unige.ch/personal/eric_f.html Wehrli, Eric] - University of Geneva<br />
*[http://www.cs.tu-berlin.de/~ww/ Weisweber, Wilhelm] - Technical University of Berlin<br />
*[http://www.ukp.tu-darmstadt.de Weimer, Markus] - University of Technology Darmstadt<br />
*[http://www.cis.upenn.edu/~bonnie Webber, Bonnie Lynn] - University of Pennsylvania<br />
*[http://www.dcs.shef.ac.uk/~yorick Wilks, Yorick] - University of Sheffield<br />
*[http://cs.haifa.ac.il/~shuly Wintner, Shuly] - University of Haifa, Israel<br />
*[http://www.se.cuhk.edu.hk/~kfwong/ Wong, Kam-Fai] - Chinese University of Hong Kong<br />
*[http://explorer.csse.uwa.edu.au/resume Wong, Wilson] - University of Western Australia<br />
*[http://www.cs.utexas.edu/users/ywwong/ Wong, Yuk Wah] - University of Texas at Austin<br />
*[http://www.cs.man.ac.uk/~wroec/ Wroe, Chris] - University of Manchester<br />
*[http://www.cs.ust.hk/faculty/dekai/bio.html Wu, Dekai] - HKUST<br />
<br />
== X ==<br />
*[http://faculty.washington.edu/fxia/ Xia, Fei] - University of Washington<br />
*[http://www1.i2r.a-star.edu.sg/~dyxiong/ Xiong, Deyi] - Institute for Infocomm Research, Singapore<br />
<br />
== Y ==<br />
<br />
*[http://www.cs.helsinki.fi/u/yangarbe/ Yangarber, Roman] - University of Helsinki<br />
*[http://www.cis.upenn.edu/~cliff-group/94/yarowsky.html Yarowsky, David] - University of Pennsylvania<br />
*[http://www.icl.pku.edu.cn/member/yusw/ Yu, Shiwen] - Peking University<br />
*[http://www.denizyuret.com/ Yuret, Deniz] - Koç University<br />
<br />
== Z ==<br />
<br />
*[http://ufal.mff.cuni.cz/~zabokrtsky Žabokrtský, Zdeněk] - Charles University in Prague<br />
*[http://ai-nlp.info.uniroma2.it/zanzotto Zanzotto, Fabio Massimo] - University of Roma Tor Vergata<br />
*[http://corpling.uis.georgetown.edu/amir Zeldes, Amir] - Georgetown University<br />
*[http://ufal.mff.cuni.cz/~zeman/ Zeman, Dan] - Univerzita Karlova v&nbsp;Praze<br />
*[http://www.ukp.tu-darmstadt.de/ Zesch, Torsten] - Darmstadt University of Technology<br />
*[http://www1.i2r.a-star.edu.sg/~mzhang/ Zhang, Min] - Institute for Infocomm Research, Singapore<br />
*[http://bcmi.sjtu.edu.cn/~zhaohai/ Zhao, Hai] - City University of Hong Kong<br />
*[http://pages.cs.wisc.edu/~jerryzhu/ Zhu, Xiaojin (Jerry)] - University of Wisconsin, Madison<br />
*[http://www.csse.monash.edu.au/~ingrid/ Zukerman, Ingrid] - Monash University</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=User_talk:Njuhgn&diff=11840User talk:Njuhgn2017-04-18T11:18:14Z<p>Pdturney: Welcome!</p>
<hr />
<div>'''Welcome to ''ACL Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents help pages].<br />
Again, welcome and have fun! [[User:Pdturney|Pdturney]] ([[User talk:Pdturney|talk]]) 05:18, 18 April 2017 (MDT)</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=User:Njuhgn&diff=11839User:Njuhgn2017-04-18T11:18:14Z<p>Pdturney: Creating user page for new user.</p>
<hr />
<div>I am a PhD student at The Hong Kong University of Science and Technology (HKUST) and got my bachelor and master degrees both from Nanjing University (NJU). I was a member of the Group of Natural Language Processing at NJU from 2013-2016 and now focus on data mining at HKUST.<br />
My Linkedin: https://www.linkedin.com/in/guang-neng-hu-21b3a880/</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=User_talk:Ybisk&diff=11838User talk:Ybisk2017-04-16T01:55:00Z<p>Pdturney: </p>
<hr />
<div>'''Welcome to ''ACL Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents help pages].<br />
Again, welcome and have fun! [[User:Pdturney|Pdturney]] ([[User talk:Pdturney|talk]]) 18:57, 15 April 2017 (MDT)<br />
<br />
'''Wrong Wiki'''<br />
There are two ACL Wikis:<br />
* [[Main Page|ACL Wiki]]<br />
* [http://aclweb.org/adminwiki/index.php?title=Main_Page ACL Admin Wiki]<br />
It seems to me that you have created the page [[Student Volunteer Coordinator]] on the wrong Wiki.<br />
[[User:Pdturney|Pdturney]] ([[User talk:Pdturney|talk]]) 19:55, 15 April 2017 (MDT)</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=User_talk:Ybisk&diff=11834User talk:Ybisk2017-04-16T00:57:17Z<p>Pdturney: Welcome!</p>
<hr />
<div>'''Welcome to ''ACL Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents help pages].<br />
Again, welcome and have fun! [[User:Pdturney|Pdturney]] ([[User talk:Pdturney|talk]]) 18:57, 15 April 2017 (MDT)</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=User:Ybisk&diff=11833User:Ybisk2017-04-16T00:57:17Z<p>Pdturney: Creating user page for new user.</p>
<hr />
<div>Postdoc with Daniel Marcu at the University of Southern California's Information Sciences Institute working on language grounding. Received PhD from the University of Illinois at Urbana-Champaign under Julia Hockenmaier in Unsupervised Grammar Induction with Combinatory Categorial Grammars (CCG) in 2015. Spent two summers as a research intern with John Blitzer at Google Research in Mountain View.<br />
<br />
www.YonatanBisk.com</div>Pdturneyhttps://aclweb.org/aclwiki/index.php?title=Main_Page&diff=11828Main Page2017-04-07T14:53:21Z<p>Pdturney: </p>
<hr />
<div><div id="mainpage"></div><br />
__NOTOC__<br />
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{|style="width:100%;border:solid 0px;background:none"<br />
|-<br />
|style="width:100%;text-align:center;color:#000" |<br />
<div style="font-size:162%;border:none;margin: 0;padding:.1em;color:#000">Welcome to the Wiki of the [http://www.aclweb.org/ Association for Computational Linguistics]</div><br />
<div style="top:+0.2em;font-size: 95%">''to facilitate the sharing of information on all aspects of Computational Linguistics''</div><br />
<div id="articlecount" style="width:100%;text-align:center;font-size:85%;">'''{{NUMBEROFVIEWS}}''' visits to '''{{NUMBEROFPAGES}}''' pages in the ACL Wiki as of {{CURRENTDAYNAME}}, {{CURRENTMONTHNAME}} {{CURRENTDAY}}, {{CURRENTYEAR}}</div><br />
<div style="width:100%;text-align:center;font-size:85%;">started on October 18th, 2006</div><br />
<div style="top:+1.0em;font-size: 180%">''[[You can lead the renovation of the ACL Wiki!]]''</div><br />
|}<br />
|}<br />
<!-- End of header section / beginning of left-column --><br />
{|style="border-spacing:8px;margin:0px -8px"<br />
|class="MainPageBG" style="width:442px;border:1px solid #cef2e0;background-color:#f5fffa;vertical-align:top;color:#000"|<br />
{|width="100%" cellpadding="2" cellspacing="5" style="vertical-align:top;background-color:#f5fffa"<br />
! <br />
<br />
<h2 style="margin:0;background-color:#cef2e0;font-size:120%;font-weight:bold;border:1px solid #a3bfb1;text-align:left;color:#000;padding:0.2em 0.4em;">Topics in the ACL Wiki</h2><br />
|-<br />
|style="color:#000"|<!-- Please keep this list in alphabetical order --><br />
* [[ACL Data and Code Repository|ACL data and code repository]] - for NLP and CL data and source code<br />
* [[Acronyms]] - the ABCs of CL and NLP<br />
* [[NLP Awards|Award recipients]] - listing of NLP Award recipients<br />
* [[Blogs]] - CL, NLP, linguistics, language<br />
* [[Conferences and workshops]] - where to go and when<br />
* [[Competitions and Challenges|Competitions and challenges]] - mettle testing<br />
* [[Current events]] - news, announcements<br />
* [[Employment opportunities, postdoctoral positions, summer jobs]]<br />
* [[Frequently asked questions about Computational Linguistics|FAQ about Computational Linguistics]]<br />
* [[Games with a Purpose|Games with a purpose]]<br />
* [[Grants, fellowships, scholarships]]<br />
* [[Journals]] - where to submit your papers<br />
* [[Newsgroups, mailing lists]]<br />
* [[Organizations, departments, institutions, groups, companies|Organizations, departments, institutions, groups, companies, associations]]<br />
* [[Other comprehensive sites]] - for NLP and CL<br />
* [[People]] - home pages of researchers<br />
* [[Research]] - tutorials, wiki articles, books, papers, bibliographies<br />
* [[List of resources by language|Resources by language]] - corpora, datasets, tools, software, lexicons<br />
* [[Resources by paper]] - linking papers to their resources<br />
* [[Special interest groups]] <br />
* [[State of the art]] - state of the art for core NLP tasks <br />
* [[Suggestions]] - the ACL's suggestion box <br />
* [[Teaching]] - course descriptions and resources<br />
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<h2 style="margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:left;color:#000;padding:0.2em 0.4em;">Using the ACL Wiki</h2><br />
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* [[Annual reports on the ACL wiki]]<br />
* [[Mandate of the ACL wiki]]<br />
* [[Policies of the ACL wiki]]<br />
* [[To Do List]] - ''please help''<br />
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<h2 style="margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:left;color:#000;padding:0.2em 0.4em;">Community Portals</h2><br />
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* [[Natural Language Generation Portal]]<br />
* [[SemEval Portal]]<br />
* [[Textual Entailment Portal]]<br />
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<h2 style="margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:left;color:#000;padding:0.2em 0.4em;">What's happening on the ACL Wiki</h2><br />
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* [[Special:MostRevisions|Pages with the most revisions]]<br />
* [[Special:RecentChanges|Recent changes]] - [http://aclweb.org/aclwiki/index.php?title=Special:Recentchanges&feed=rss RSS feed]<br />
* [[Special:Statistics|Wiki statistics]]<br />
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<h2 style="margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:left;color:#000;padding:0.2em 0.4em;">Related sites</h2><br />
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* [http://aclweb.org/adminwiki/index.php?title=Main_Page ACL Administrative Wiki] - conference handbook, reports<br />
* [http://www.aclweb.org/anthology/ ACL Anthology] - almost 20,000 online papers<br />
* [http://www.aclweb.org/ ACL Home Page] - the central ACL website<br />
* [http://aclweb.org/portal/ ACL Member Portal] - membership, event alerts<br />
* [http://www.aclweb.org/website/node/434 ACL Mirror of Past Conferences] - blasts from the past<br />
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