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		<id>https://www.aclweb.org/aclwiki/index.php?title=ACL_2014_(Resources_by_paper)&amp;diff=10821</id>
		<title>ACL 2014 (Resources by paper)</title>
		<link rel="alternate" type="text/html" href="https://www.aclweb.org/aclwiki/index.php?title=ACL_2014_(Resources_by_paper)&amp;diff=10821"/>
		<updated>2014-07-09T06:16:04Z</updated>

		<summary type="html">&lt;p&gt;Williampli: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;For an explanation of this page and links to other venues, see [[Resources by paper]].&lt;br /&gt;
&lt;br /&gt;
This is a bottom-up, crowdsourced effort to contribute links to open data, source code, and demos related to &#039;&#039;&#039;ACL 2014&#039;&#039;&#039; conference and workshop papers, demos, and other projects. Please share yours! Benefits include:  &lt;br /&gt;
&lt;br /&gt;
* visibility for your work&lt;br /&gt;
* reproducible research&lt;br /&gt;
* future collaborations&lt;br /&gt;
* faster-paced innovation&lt;br /&gt;
* links can be updated as resources move or grow&lt;br /&gt;
&lt;br /&gt;
The link to the document used to collect this data is: http://bit.ly/acl2014code&lt;br /&gt;
&lt;br /&gt;
== Resources by paper ==&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Smart Selection&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Patrick Pantel, Michael Gamon, and Ariel Fuxman&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://anthology.aclweb.org//P/P14/P14-1143.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; http://research.microsoft.com/en-us/downloads/eb42522c-068e-404c-b63f-cf632bd27344/default.aspx&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Context-dependent Semantic Parsing for Time Expressions&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Kenton Lee, Yoav Artzi, Jesse Dodge and Luke Zettlemoyer&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://yoavartzi.com/pub/ladz-acl.2014.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code, Data and Demo:&#039;&#039;&#039; http://lil.cs.washington.edu/uwtime/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Estimating Policy Trajectories During the Financial Crisis&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; William P. Li, David Larochelle, Andrew W. Lo&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2447293&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://github.com/wpli/billtracer&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; https://sites.google.com/site/unsharedtask2014/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;DKPro Text Classification Framework&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Johannes Daxenberger and Oliver Ferschke and Iryna Gurevych and Torsten Zesch&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; https://www.ukp.tu-darmstadt.de/fileadmin/user_upload/Group_UKP/publikationen/2014/DKProTCPreprint.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://code.google.com/p/dkpro-tc/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Semantic Parsing via Paraphrasing&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; http://www-nlp.stanford.edu/software/sempre/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Weakly Supervised User Profile Extraction from Twitter&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; [[Profile data]]&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Inferring User Political Preferences from Streaming Communications&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Resources:&#039;&#039;&#039; http://www.cs.jhu.edu/~svitlana&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;The effect of wording on message propagation: Topic- and author- controlled natural experiments on Twitter&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Chenhao Tan, Lillian Lee, Bo Pang&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper &amp;amp; Data:&#039;&#039;&#039; http://chenhaot.com/pages/wording-for-propagation.html&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Demo:&#039;&#039;&#039; http://chenhaot.com/retweetedmore/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;A Corpus of Sentence-level Revisions in Academic Writing: A Step towards Understanding Statement Strength in Communication&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Chenhao Tan, Lillian Lee&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper &amp;amp; Data:&#039;&#039;&#039; http://chenhaot.com/pages/wording-for-propagation.html&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Automatically Detecting Corresponding Edit-Turn-Pairs in Wikipedia&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; http://www.ukp.tu-darmstadt.de/data/discourse-analysis/wikipedia-edit-turn-pair-corpus/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Less grammar, more features&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; D. Hall, G. Durrett, and D. Klein&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://github.com/dlwh/epic&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://www.cs.berkeley.edu/~dlwh/papers/spanparser.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Sparser, better, faster gpu parsing&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; D. Hall, T. Berg-Kirkpatrick, J. Canny, and D. Klein&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://github.com/dlwh/puck&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://www.cs.berkeley.edu/~dlwh/papers/gpuparser.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Improving lexical embeddings with semantic knowledge&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; M. Yu, M. Dredze&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://github.com/Gorov/JointRCM&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Two Is Bigger (and Better) Than One: the Wikipedia Bitaxonomy Project&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; T. Flati, D. Vannella, T. Pasini, R. Navigli&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; http://wibitaxonomy.org&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2014_Flatietal.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;A Robust Approach to Aligning Heterogeneous Lexical Resources&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; M. T. Pilehvar, R. Navigli&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; http://lcl.uniroma1.it/semalign&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2014_Pilehvar_Navigli.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Validating and Extending Semantic Knowledge Bases using Video Games with a Purpose&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; D. Vannella, D. Jurgens, D. Scarfini, D. Toscani, R. Navigli&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Demo:&#039;&#039;&#039; http://lcl.uniroma1.it/games&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;WoSIT: A Word Sense Induction Toolkit for Search Result Clustering and Diversification&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; D. Vannella, T. Flati, R. Navigli&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data and demo:&#039;&#039;&#039; http://lcl.uniroma1.it/wosit/&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2014_WoSIT.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;A chance-corrected metric of inter-annotator agreement for syntax&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; A. Skjærholt&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code and data:&#039;&#039;&#039; https://github.com/arnsholt/syn-agreement&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;A Piece of My Mind: A Sentiment Analysis Approach for Online Dispute Detection&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Lu Wang, Claire Cardie&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; https://ssli.ee.washington.edu/tial/projects/SCIL.html&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Be Appropriate and Funny: Automatic Entity Morph Encoding&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Boliang Zhang, Hongzhao Huang, Xiaoman Pan, Heng Ji, Kevin Knight, Zhen Wen, Yizhou Sun, Jiawei Han and Bulent Yener&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://nlp.cs.rpi.edu/paper/morphencoding.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; http://nlp.cs.rpi.edu/data/morphencoding.tar.gz&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Pattern Dictionary of English Prepositions&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Ken Litkowski&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://69.195.124.161/~aclwebor/anthology//P/P14/P14-1120.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; http://www.clres.com/db/TPPEditor.html and http://www.clres.com/pdep.html&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Mutual Disambiguation for Entity Linking&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Eric Charton, Marie-Jean Meurs, Ludovic Jean-Louis, Michel Gagnon&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://aclanthology.info/papers/mutual-disambiguation-for-entity-linking&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://code.google.com/p/semlinker/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Zero-shot Entity Extraction from Web Pages&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Panupong Pasupat and Percy Liang&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://aclanthology.info/papers/zero-shot-entity-extraction-from-web-pages&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code and data:&#039;&#039;&#039; http://www-nlp.stanford.edu/software/web-entity-extractor-ACL2014/paper/www/index.html&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Temporal Annotation in the Clinical Domain&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; William Styler, Steven Bethard, Sean Finan, Martha Palmer, Sameer Pradhan, Piet C. Goren, Brad Erickson, Timothy Miller, Chen Lin, Guergana Savova, and James Pustejoysky&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://www.transacl.org/wp-content/uploads/2014/04/47.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Project:&#039;&#039;&#039; http://thyme.healthnlp.org&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Other tools mentioned:&#039;&#039;&#039; https://code.google.com/p/cleartk/  https://github.com/weitechen/anafora&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Experiments with crowdsourced re-annotation of a POS tagging data set&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Dirk Hovy, Barbara Plank and Anders Søgaard&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://anthology.aclweb.org//P/P14/P14-2062.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Other tools mentioned:&#039;&#039;&#039; MACE (Multi-Annotator Competence Estimation) http://www.isi.edu/publications/licensed-sw/mace/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Robust Entity Clustering via Phylogenetic Inference&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Nicholas Andrews, Jason Eisner, Mark Dredze&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://www.aclweb.org/anthology/P14-1073&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; (not live yet though?) https://bitbucket.org/noandrews/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Fast and Robust Neural Network Joint Models for Statistical Machine Translation&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Jacob Devlin, Rabih Zbib, Zhongqiang Huang, Thomas Lamar, Richard Schwartz, John Makhoul&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://www.aclweb.org/anthology/P14-1129&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Replicated code:&#039;&#039;&#039; Neural Probabilistic Language Model Toolkit: http://nlg.isi.edu/software/nplm/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Low-Rank Tensors for Scoring Dependency Structures&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Tao Lei, Yu Xin, Yuan Zhang, Regina Barzilay, Tommi Jaakkola&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://www.aclweb.org/anthology/P14-1130&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://github.com/taolei87/RBGParser&amp;lt;br&amp;gt;&lt;br /&gt;
 &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;A Discriminative Graph-Based Parser for the Abstract Meaning Representation&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Jeffrey Flanigan, Sam Thomson, Jaime Carbonell, Chris Dyer and Noah A. Smith&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://www.aclweb.org/anthology/P/P14/P14-1134&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://github.com/jflanigan/jamr&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;kLogNLP: Graph Kernel-based Relational Learning of Natural Language&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Mathias Verbeke, Paolo Frasconi, Kurt De Grave, Fabrizio Costa, Luc De Raedt&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://aclweb.org/anthology/P14-5015&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; http://dtai.cs.kuleuven.be/klognlp&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Translation Assistance by Translation of L1 Fragments in an L2 Context&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Maarten van Gompel and Antal van den Bosch&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://aclweb.org/anthology/P14-1082&amp;lt;br&amp;gt; &lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://github.com/proycon/colibrita&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;An Annotation Framework for Dense Event Ordering&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Taylor Cassidy, Bill McDowell, Nathanael Chambers, Steven Bethard&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://aclweb.org/anthology/P14-2082&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://github.com/nchambers/caevo&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;DKPro Keyphrases: Flexible and Reusable Keyphrase Extraction Experiments&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Nicolai Erbs, Pedro Bispo Santos, Iryna Gurevych, and Torsten Zesch&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://acl2014.org/acl2014/P14-5/pdf/P14-5006.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://code.google.com/p/dkpro-keyphrases/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Low Resource Semantic Role Labeling&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Matthew R. Gormley; Margaret Mitchell; Benjamin Van Durme; Mark Dredze&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://aclweb.org/anthology/P14-1111&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; http://www.cs.jhu.edu/~mrg/software/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Adaptive Quality Estimation for Machine Translation&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Marco Turchi, Antonios Anastasopoulos, José Guilherme Camargo de Souza and Matteo Negri&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://acl2014.org/acl2014/P14-1/pdf/P14-1067.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; http://hlt.fbk.eu/technologies/aqet&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;How much do word embeddings encode about syntax?&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Jacob Andreas &amp;amp; Dan Klein&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://www.cs.berkeley.edu/~jda/papers/ak_syntax_embeddings.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; http://www.cs.berkeley.edu/~jda/code/dense-parser.tar.gz&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Peter Young, Alice Lai, Micah Hodosh, Julia Hockenmaier&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://anthology.aclweb.org/Q/Q14/Q14-1006.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; http://nlp.cs.illinois.edu/Denotation.html&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Humans Require Context to Infer Ironic Intent (so Computers Probably do, too)&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Byron C. Wallace, Do Kook Choe, Laura Kertz and Eugene Charniak&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://anthology.aclweb.org//P/P14/P14-2084.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; https://github.com/bwallace/ACL-2014-irony&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Lexical Inference over Multi-Word Predicates: A Distributional Approach&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Omri Abend, Shay B. Cohen and Mark Steedman&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://homepages.inf.ed.ac.uk/oabend/papers/mwpreds.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; http://homepages.inf.ed.ac.uk/oabend/mwpreds.html&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Learning Structured Perceptrons for Coreference Resolution with Latent Antecedents and Non-local Features&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Anders Björkelund and Jonas Kuhn&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://aclweb.org/anthology/P14-1005&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; http://www.ims.uni-stuttgart.de/forschung/ressourcen/werkzeuge/HOTCoref.en.html&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Graph-based Semi-Supervised Learning of Translation Models from Monolingual Data&#039;&#039; &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Avneesh Saluja, Hany Hassan, Kristina Toutanova, and Chris Quirk &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://anthology.aclweb.org//P/P14/P14-1064.pdf&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://github.com/asaluja/graphMT&lt;br /&gt;
&lt;br /&gt;
=== Demos ===&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Simplified Dependency Annotations with GFL-Web&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Michael Mordowanec, Nathan Schneider, Chris Dyer, Noah A. Smith&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://aclweb.org/anthology/P14-5021&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Tool, code, &amp;amp; demo:&#039;&#039;&#039; http://www.ark.cs.cmu.edu/FUDG/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Visualization, Search, and Error Analysis for Coreference Annotations&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Markus Gärtner, Anders Björkelund, Gregor Thiele, Wolfgang Seeker, and Jonas Kuhn&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://aclweb.org/anthology/P14-5002&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; http://www.ims.uni-stuttgart.de/forschung/ressourcen/werkzeuge/icarus.en.html&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category:Resources by paper]]&lt;/div&gt;</summary>
		<author><name>Williampli</name></author>
	</entry>
	<entry>
		<id>https://www.aclweb.org/aclwiki/index.php?title=ACL_2014_(Resources_by_paper)&amp;diff=10820</id>
		<title>ACL 2014 (Resources by paper)</title>
		<link rel="alternate" type="text/html" href="https://www.aclweb.org/aclwiki/index.php?title=ACL_2014_(Resources_by_paper)&amp;diff=10820"/>
		<updated>2014-07-09T06:15:31Z</updated>

		<summary type="html">&lt;p&gt;Williampli: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;For an explanation of this page and links to other venues, see [[Resources by paper]].&lt;br /&gt;
&lt;br /&gt;
This is a bottom-up, crowdsourced effort to contribute links to open data, source code, and demos related to &#039;&#039;&#039;ACL 2014&#039;&#039;&#039; conference and workshop papers, demos, and other projects. Please share yours! Benefits include:  &lt;br /&gt;
&lt;br /&gt;
* visibility for your work&lt;br /&gt;
* reproducible research&lt;br /&gt;
* future collaborations&lt;br /&gt;
* faster-paced innovation&lt;br /&gt;
* links can be updated as resources move or grow&lt;br /&gt;
&lt;br /&gt;
The link to the document used to collect this data is: http://bit.ly/acl2014code&lt;br /&gt;
&lt;br /&gt;
== Resources by paper ==&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Smart Selection&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Patrick Pantel, Michael Gamon, and Ariel Fuxman&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://anthology.aclweb.org//P/P14/P14-1143.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; http://research.microsoft.com/en-us/downloads/eb42522c-068e-404c-b63f-cf632bd27344/default.aspx&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Context-dependent Semantic Parsing for Time Expressions&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Kenton Lee, Yoav Artzi, Jesse Dodge and Luke Zettlemoyer&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://yoavartzi.com/pub/ladz-acl.2014.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code, Data and Demo:&#039;&#039;&#039; http://lil.cs.washington.edu/uwtime/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Estimating Policy Trajectories During the Financial Crisis&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; William P. Li, David Larochelle, Andrew W. Lo&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2447293&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://github.com/wpli/billtracer&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; https://sites.google.com/site/unsharedtask2014/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;DKPro Text Classification Framework&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Johannes Daxenberger and Oliver Ferschke and Iryna Gurevych and Torsten Zesch&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; https://www.ukp.tu-darmstadt.de/fileadmin/user_upload/Group_UKP/publikationen/2014/DKProTCPreprint.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://code.google.com/p/dkpro-tc/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Semantic Parsing via Paraphrasing&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; http://www-nlp.stanford.edu/software/sempre/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Weakly Supervised User Profile Extraction from Twitter&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; [[Profile data]]&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Inferring User Political Preferences from Streaming Communications&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Resources:&#039;&#039;&#039; http://www.cs.jhu.edu/~svitlana&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;The effect of wording on message propagation: Topic- and author- controlled natural experiments on Twitter&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Chenhao Tan, Lillian Lee, Bo Pang&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper &amp;amp; Data:&#039;&#039;&#039; http://chenhaot.com/pages/wording-for-propagation.html&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Demo:&#039;&#039;&#039; http://chenhaot.com/retweetedmore/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;A Corpus of Sentence-level Revisions in Academic Writing: A Step towards Understanding Statement Strength in Communication&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Chenhao Tan, Lillian Lee&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper &amp;amp; Data:&#039;&#039;&#039; http://chenhaot.com/pages/wording-for-propagation.html&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Automatically Detecting Corresponding Edit-Turn-Pairs in Wikipedia&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; http://www.ukp.tu-darmstadt.de/data/discourse-analysis/wikipedia-edit-turn-pair-corpus/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Less grammar, more features&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; D. Hall, G. Durrett, and D. Klein&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://github.com/dlwh/epic&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://www.cs.berkeley.edu/~dlwh/papers/spanparser.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Sparser, better, faster gpu parsing&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; D. Hall, T. Berg-Kirkpatrick, J. Canny, and D. Klein&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://github.com/dlwh/puck&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://www.cs.berkeley.edu/~dlwh/papers/gpuparser.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Improving lexical embeddings with semantic knowledge&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; M. Yu, M. Dredze&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://github.com/Gorov/JointRCM&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Two Is Bigger (and Better) Than One: the Wikipedia Bitaxonomy Project&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; T. Flati, D. Vannella, T. Pasini, R. Navigli&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; http://wibitaxonomy.org&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2014_Flatietal.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;A Robust Approach to Aligning Heterogeneous Lexical Resources&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; M. T. Pilehvar, R. Navigli&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; http://lcl.uniroma1.it/semalign&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2014_Pilehvar_Navigli.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Validating and Extending Semantic Knowledge Bases using Video Games with a Purpose&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; D. Vannella, D. Jurgens, D. Scarfini, D. Toscani, R. Navigli&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Demo:&#039;&#039;&#039; http://lcl.uniroma1.it/games&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;WoSIT: A Word Sense Induction Toolkit for Search Result Clustering and Diversification&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; D. Vannella, T. Flati, R. Navigli&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data and demo:&#039;&#039;&#039; http://lcl.uniroma1.it/wosit/&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2014_WoSIT.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;A chance-corrected metric of inter-annotator agreement for syntax&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; A. Skjærholt&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code and data:&#039;&#039;&#039; https://github.com/arnsholt/syn-agreement&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;A Piece of My Mind: A Sentiment Analysis Approach for Online Dispute Detection&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Lu Wang, Claire Cardie&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; https://ssli.ee.washington.edu/tial/projects/SCIL.html&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Be Appropriate and Funny: Automatic Entity Morph Encoding&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Boliang Zhang, Hongzhao Huang, Xiaoman Pan, Heng Ji, Kevin Knight, Zhen Wen, Yizhou Sun, Jiawei Han and Bulent Yener&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://nlp.cs.rpi.edu/paper/morphencoding.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; http://nlp.cs.rpi.edu/data/morphencoding.tar.gz&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Pattern Dictionary of English Prepositions&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Ken Litkowski&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://69.195.124.161/~aclwebor/anthology//P/P14/P14-1120.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; http://www.clres.com/db/TPPEditor.html and http://www.clres.com/pdep.html&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Mutual Disambiguation for Entity Linking&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Eric Charton, Marie-Jean Meurs, Ludovic Jean-Louis, Michel Gagnon&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://aclanthology.info/papers/mutual-disambiguation-for-entity-linking&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://code.google.com/p/semlinker/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Zero-shot Entity Extraction from Web Pages&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Panupong Pasupat and Percy Liang&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://aclanthology.info/papers/zero-shot-entity-extraction-from-web-pages&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code and data:&#039;&#039;&#039; http://www-nlp.stanford.edu/software/web-entity-extractor-ACL2014/paper/www/index.html&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Temporal Annotation in the Clinical Domain&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; William Styler, Steven Bethard, Sean Finan, Martha Palmer, Sameer Pradhan, Piet C. Goren, Brad Erickson, Timothy Miller, Chen Lin, Guergana Savova, and James Pustejoysky&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://www.transacl.org/wp-content/uploads/2014/04/47.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Project:&#039;&#039;&#039; http://thyme.healthnlp.org&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Other tools mentioned:&#039;&#039;&#039; https://code.google.com/p/cleartk/  https://github.com/weitechen/anafora&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Experiments with crowdsourced re-annotation of a POS tagging data set&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Dirk Hovy, Barbara Plank and Anders Søgaard&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://anthology.aclweb.org//P/P14/P14-2062.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Other tools mentioned:&#039;&#039;&#039; MACE (Multi-Annotator Competence Estimation) http://www.isi.edu/publications/licensed-sw/mace/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Robust Entity Clustering via Phylogenetic Inference&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Nicholas Andrews, Jason Eisner, Mark Dredze&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://www.aclweb.org/anthology/P14-1073&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; (not live yet though?) https://bitbucket.org/noandrews/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Fast and Robust Neural Network Joint Models for Statistical Machine Translation&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Jacob Devlin, Rabih Zbib, Zhongqiang Huang, Thomas Lamar, Richard Schwartz, John Makhoul&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://www.aclweb.org/anthology/P14-1129&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Replicated code:&#039;&#039;&#039; Neural Probabilistic Language Model Toolkit: http://nlg.isi.edu/software/nplm/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Low-Rank Tensors for Scoring Dependency Structures&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Tao Lei, Yu Xin, Yuan Zhang, Regina Barzilay, Tommi Jaakkola&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://www.aclweb.org/anthology/P14-1130&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://github.com/taolei87/RBGParser&amp;lt;br&amp;gt;&lt;br /&gt;
 &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;A Discriminative Graph-Based Parser for the Abstract Meaning Representation&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Jeffrey Flanigan, Sam Thomson, Jaime Carbonell, Chris Dyer and Noah A. Smith&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://www.aclweb.org/anthology/P/P14/P14-1134&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://github.com/jflanigan/jamr&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;kLogNLP: Graph Kernel-based Relational Learning of Natural Language&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Mathias Verbeke, Paolo Frasconi, Kurt De Grave, Fabrizio Costa, Luc De Raedt&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://aclweb.org/anthology/P14-5015&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; http://dtai.cs.kuleuven.be/klognlp&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Translation Assistance by Translation of L1 Fragments in an L2 Context&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Maarten van Gompel and Antal van den Bosch&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://aclweb.org/anthology/P14-1082&amp;lt;br&amp;gt; &lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://github.com/proycon/colibrita&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;An Annotation Framework for Dense Event Ordering&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Taylor Cassidy, Bill McDowell, Nathanael Chambers, Steven Bethard&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://aclweb.org/anthology/P14-2082&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://github.com/nchambers/caevo&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;DKPro Keyphrases: Flexible and Reusable Keyphrase Extraction Experiments&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Nicolai Erbs, Pedro Bispo Santos, Iryna Gurevych, and Torsten Zesch&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://acl2014.org/acl2014/P14-5/pdf/P14-5006.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://code.google.com/p/dkpro-keyphrases/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Low Resource Semantic Role Labeling&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Matthew R. Gormley; Margaret Mitchell; Benjamin Van Durme; Mark Dredze&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://aclweb.org/anthology/P14-1111&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; http://www.cs.jhu.edu/~mrg/software/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Adaptive Quality Estimation for Machine Translation&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Marco Turchi, Antonios Anastasopoulos, José Guilherme Camargo de Souza and Matteo Negri&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://acl2014.org/acl2014/P14-1/pdf/P14-1067.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; http://hlt.fbk.eu/technologies/aqet&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;How much do word embeddings encode about syntax?&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Jacob Andreas &amp;amp; Dan Klein&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://www.cs.berkeley.edu/~jda/papers/ak_syntax_embeddings.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; http://www.cs.berkeley.edu/~jda/code/dense-parser.tar.gz&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Peter Young, Alice Lai, Micah Hodosh, Julia Hockenmaier&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://anthology.aclweb.org/Q/Q14/Q14-1006.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; http://nlp.cs.illinois.edu/Denotation.html&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Humans Require Context to Infer Ironic Intent (so Computers Probably do, too)&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Byron C. Wallace, Do Kook Choe, Laura Kertz and Eugene Charniak&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://anthology.aclweb.org//P/P14/P14-2084.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; https://github.com/bwallace/ACL-2014-irony&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Lexical Inference over Multi-Word Predicates: A Distributional Approach&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Omri Abend, Shay B. Cohen and Mark Steedman&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://homepages.inf.ed.ac.uk/oabend/papers/mwpreds.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; http://homepages.inf.ed.ac.uk/oabend/mwpreds.html&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Learning Structured Perceptrons for Coreference Resolution with Latent Antecedents and Non-local Features&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Anders Björkelund and Jonas Kuhn&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://aclweb.org/anthology/P14-1005&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; http://www.ims.uni-stuttgart.de/forschung/ressourcen/werkzeuge/HOTCoref.en.html&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Demos ===&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Simplified Dependency Annotations with GFL-Web&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Michael Mordowanec, Nathan Schneider, Chris Dyer, Noah A. Smith&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://aclweb.org/anthology/P14-5021&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Tool, code, &amp;amp; demo:&#039;&#039;&#039; http://www.ark.cs.cmu.edu/FUDG/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Visualization, Search, and Error Analysis for Coreference Annotations&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Markus Gärtner, Anders Björkelund, Gregor Thiele, Wolfgang Seeker, and Jonas Kuhn&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://aclweb.org/anthology/P14-5002&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; http://www.ims.uni-stuttgart.de/forschung/ressourcen/werkzeuge/icarus.en.html&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Graph-based Semi-Supervised Learning of Translation Models from Monolingual Data&#039;&#039; &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Avneesh Saluja, Hany Hassan, Kristina Toutanova, and Chris Quirk &amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://anthology.aclweb.org//P/P14/P14-1064.pdf&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://github.com/asaluja/graphMT&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category:Resources by paper]]&lt;/div&gt;</summary>
		<author><name>Williampli</name></author>
	</entry>
	<entry>
		<id>https://www.aclweb.org/aclwiki/index.php?title=ACL_2014_(Resources_by_paper)&amp;diff=10772</id>
		<title>ACL 2014 (Resources by paper)</title>
		<link rel="alternate" type="text/html" href="https://www.aclweb.org/aclwiki/index.php?title=ACL_2014_(Resources_by_paper)&amp;diff=10772"/>
		<updated>2014-06-29T04:10:38Z</updated>

		<summary type="html">&lt;p&gt;Williampli: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;For an explanation of this page, see [[Resources by paper]].&lt;br /&gt;
&lt;br /&gt;
This is a bottom-up, crowdsourced effort to contribute links to open data, source code, and demos related to ACL 2014 conference and workshop papers, demos, and other projects. Please share yours! Benefits include:  &lt;br /&gt;
* visibility for your work&lt;br /&gt;
* reproducible research&lt;br /&gt;
* future collaborations&lt;br /&gt;
* faster-paced innovation&lt;br /&gt;
&lt;br /&gt;
The link to the document used to collect this data is: http://bit.ly/acl2014code&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Smart Selection&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Patrick Pantel, Michael Gamon, and Ariel Fuxman&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://anthology.aclweb.org//P/P14/P14-1143.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; http://research.microsoft.com/en-us/downloads/eb42522c-068e-404c-b63f-cf632bd27344/default.aspx&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Context-dependent Semantic Parsing for Time Expressions&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Kenton Lee, Yoav Artzi, Jesse Dodge and Luke Zettlemoyer&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://yoavartzi.com/pub/ladz-acl.2014.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code, Data and Demo:&#039;&#039;&#039; http://lil.cs.washington.edu/uwtime/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Estimating Policy Trajectories During the Financial Crisis&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; William P. Li, David Larochelle, Andrew W. Lo&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2447293&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://github.com/wpli/billtracer&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; https://sites.google.com/site/unsharedtask2014/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
DKPro Text Classification Framework&lt;br /&gt;
Authors: Johannes Daxenberger and Oliver Ferschke and Iryna Gurevych and Torsten Zesch &lt;br /&gt;
Paper: https://www.ukp.tu-darmstadt.de/fileadmin/user_upload/Group_UKP/publikationen/2014/DKProTCPreprint.pdf&lt;br /&gt;
Code: https://code.google.com/p/dkpro-tc/&lt;br /&gt;
&lt;br /&gt;
Semantic Parsing via Paraphrasing&lt;br /&gt;
Code: http://www-nlp.stanford.edu/software/sempre/ &lt;br /&gt;
&lt;br /&gt;
Weakly Supervised User Profile Extraction from Twitter&lt;br /&gt;
http://aclweb.org/aclwiki/title=Profile_data http://69.195.124.161/~aclwebor/wiki/index.php?title=Profile_data &lt;br /&gt;
&lt;br /&gt;
Inferring User Political Preferences from Streaming Communications&lt;br /&gt;
http://www.cs.jhu.edu/~svitlana &lt;br /&gt;
&lt;br /&gt;
The effect of wording on message propagation: Topic- and author- controlled natural experiments on Twitter&lt;br /&gt;
Chenhao Tan, Lillian Lee, Bo Pang&lt;br /&gt;
Paper &amp;amp; Data: http://chenhaot.com/pages/wording-for-propagation.html&lt;br /&gt;
Demo: http://chenhaot.com/retweetedmore/ &lt;br /&gt;
&lt;br /&gt;
A Corpus of Sentence-level Revisions in Academic Writing: A Step towards Understanding Statement Strength in Communication&lt;br /&gt;
Chenhao Tan, Lillian Lee&lt;br /&gt;
Paper &amp;amp; Data: http://chenhaot.com/pages/wording-for-propagation.html&lt;br /&gt;
&lt;br /&gt;
Automatically Detecting Corresponding Edit-Turn-Pairs in Wikipedia&lt;br /&gt;
Data: http://www.ukp.tu-darmstadt.de/data/discourse-analysis/wikipedia-edit-turn-pair-corpus/&lt;br /&gt;
&lt;br /&gt;
Less grammar, more features&lt;br /&gt;
D. Hall, G. Durrett, and D. Klein&lt;br /&gt;
Code: https://github.com/dlwh/epic&lt;br /&gt;
Paper: http://www.cs.berkeley.edu/~dlwh/papers/spanparser.pdf&lt;br /&gt;
&lt;br /&gt;
Sparser, better, faster gpu parsing&lt;br /&gt;
D. Hall, T. Berg-Kirkpatrick, J. Canny, and D. Klein&lt;br /&gt;
Code: https://github.com/dlwh/puck&lt;br /&gt;
Paper: http://www.cs.berkeley.edu/~dlwh/papers/gpuparser.pdf&lt;br /&gt;
&lt;br /&gt;
Improving lexical embeddings with semantic knowledge&lt;br /&gt;
M. Yu, M. Dredze&lt;br /&gt;
Code: https://github.com/Gorov/JointRCM&lt;br /&gt;
&lt;br /&gt;
Two Is Bigger (and Better) Than One: the Wikipedia Bitaxonomy Project&lt;br /&gt;
T. Flati, D. Vannella, T. Pasini, R. Navigli&lt;br /&gt;
Data: http://wibitaxonomy.org&lt;br /&gt;
Paper: http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2014_Flatietal.pdf&lt;br /&gt;
&lt;br /&gt;
A Robust Approach to Aligning Heterogeneous Lexical Resources&lt;br /&gt;
M. T. Pilehvar, R. Navigli&lt;br /&gt;
Data: http://lcl.uniroma1.it/semalign&lt;br /&gt;
Paper: http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2014_Pilehvar_Navigli.pdf&lt;br /&gt;
&lt;br /&gt;
Validating and Extending Semantic Knowledge Bases using Video Games with a Purpose&lt;br /&gt;
D. Vannella, D. Jurgens, D. Scarfini, D. Toscani, R. Navigli&lt;br /&gt;
Demo: http://lcl.uniroma1.it/games&lt;br /&gt;
&lt;br /&gt;
WoSIT: A Word Sense Induction Toolkit for Search Result Clustering and Diversification&lt;br /&gt;
D. Vannella, T. Flati, R. Navigli&lt;br /&gt;
Data and demo: http://lcl.uniroma1.it/wosit/&lt;br /&gt;
Paper: http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2014_WoSIT.pdf&lt;br /&gt;
&lt;br /&gt;
Entity Linking meets Word Sense Disambiguation: a Unified Approach&lt;br /&gt;
A. Moro, A. Raganato, R. Navigli&lt;br /&gt;
Demo and API: http://babelfy.org&lt;br /&gt;
Paper: http://wwwusers.di.uniroma1.it/~navigli/pubs/TACL_2014_Babelfy.pdf&lt;br /&gt;
&lt;br /&gt;
A chance-corrected metric of inter-annotator agreement for syntax&lt;br /&gt;
A. Skjærholt&lt;br /&gt;
Code and data: https://github.com/arnsholt/syn-agreement&lt;br /&gt;
&lt;br /&gt;
A Piece of My Mind: A Sentiment Analysis Approach for Online Dispute Detection&lt;br /&gt;
Lu Wang, Claire Cardie&lt;br /&gt;
Data: https://ssli.ee.washington.edu/tial/projects/SCIL.html&lt;br /&gt;
&lt;br /&gt;
Be Appropriate and Funny: Automatic Entity Morph Encoding&lt;br /&gt;
Boliang Zhang, Hongzhao Huang, Xiaoman Pan, Heng Ji, Kevin Knight, Zhen Wen, Yizhou Sun, Jiawei Han and Bulent Yener&lt;br /&gt;
Paper: http://nlp.cs.rpi.edu/paper/morphencoding.pdf&lt;br /&gt;
Data: http://nlp.cs.rpi.edu/data/morphencoding.tar.gz &lt;br /&gt;
&lt;br /&gt;
Pattern Dictionary of English Prepositions&lt;br /&gt;
Ken Litkowski&lt;br /&gt;
Paper: http://69.195.124.161/~aclwebor/anthology//P/P14/P14-1120.pdf&lt;br /&gt;
Data: http://www.clres.com/db/TPPEditor.html and http://www.clres.com/pdep.html&lt;br /&gt;
&lt;br /&gt;
Mutual Disambiguation for Entity Linking&lt;br /&gt;
Eric Charton, Marie-Jean Meurs, Ludovic Jean-Louis, Michel Gagnon&lt;br /&gt;
Paper: http://aclanthology.info/papers/mutual-disambiguation-for-entity-linking&lt;br /&gt;
Code: https://code.google.com/p/semlinker/&lt;br /&gt;
&lt;br /&gt;
Zero-shot Entity Extraction from Web Pages&lt;br /&gt;
Panupong Pasupat and Percy Liang&lt;br /&gt;
Paper: http://aclanthology.info/papers/zero-shot-entity-extraction-from-web-pages&lt;br /&gt;
Code and data: &lt;br /&gt;
http://www-nlp.stanford.edu/software/web-entity-extractor-ACL2014/paper/www/index.html&lt;br /&gt;
&lt;br /&gt;
Temporal Annotation in the Clinical Domain&lt;br /&gt;
William Styler, Steven Bethard, Sean Finan, Martha Palmer, Sameer Pradhan, Piet C. Goren, Brad Erickson, Timothy Miller, Chen Lin, Guergana Savova, and James Pustejoysky&lt;br /&gt;
Paper: http://www.transacl.org/wp-content/uploads/2014/04/47.pdf&lt;br /&gt;
Project: http://thyme.healthnlp.org&lt;br /&gt;
Other tools mentioned:&lt;br /&gt;
https://code.google.com/p/cleartk/ &lt;br /&gt;
https://github.com/weitechen/anafora&lt;br /&gt;
&lt;br /&gt;
Experiments with crowdsourced re-annotation of a POS tagging data set&lt;br /&gt;
Dirk Hovy, Barbara Plank and Anders Søgaard&lt;br /&gt;
Paper: http://anthology.aclweb.org//P/P14/P14-2062.pdf&lt;br /&gt;
Other tools mentioned:&lt;br /&gt;
MACE (Multi-Annotator Competence Estimation) http://www.isi.edu/publications/licensed-sw/mace/&lt;br /&gt;
&lt;br /&gt;
Robust Entity Clustering via Phylogenetic Inference&lt;br /&gt;
Nicholas Andrews, Jason Eisner, Mark Dredze&lt;br /&gt;
Paper: http://www.aclweb.org/anthology/P14-1073&lt;br /&gt;
Code: (not live yet though?) https://bitbucket.org/noandrews/&lt;br /&gt;
&lt;br /&gt;
Fast and Robust Neural Network Joint Models for Statistical Machine Translation&lt;br /&gt;
Jacob Devlin, Rabih Zbib, Zhongqiang Huang, Thomas Lamar, Richard Schwartz, John Makhoul&lt;br /&gt;
Paper: http://www.aclweb.org/anthology/P14-1129&lt;br /&gt;
Replicated code - Neural Probabilistic Language Model Toolkit: http://nlg.isi.edu/software/nplm/&lt;br /&gt;
&lt;br /&gt;
Low-Rank Tensors for Scoring Dependency Structures&lt;br /&gt;
Tao Lei, Yu Xin, Yuan Zhang, Regina Barzilay, Tommi Jaakkola&lt;br /&gt;
Paper: http://www.aclweb.org/anthology/P14-1130&lt;br /&gt;
Code: https://github.com/taolei87/RBGParser&lt;br /&gt;
 &lt;br /&gt;
A Discriminative Graph-Based Parser for the Abstract Meaning Representation&lt;br /&gt;
Jeffrey Flanigan, Sam Thomson, Jaime Carbonell, Chris Dyer and Noah A. Smith &lt;br /&gt;
Paper: http://www.aclweb.org/anthology/P/P14/P14-1134&lt;br /&gt;
Code: https://github.com/jflanigan/jamr&lt;br /&gt;
&lt;br /&gt;
kLogNLP: Graph Kernel-based Relational Learning of Natural Language&lt;br /&gt;
Mathias Verbeke, Paolo Frasconi, Kurt De Grave, Fabrizio Costa, Luc De Raedt&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-5015&lt;br /&gt;
Code: http://dtai.cs.kuleuven.be/klognlp&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Translation Assistance by Translation of L1 Fragments in an L2 Context&lt;br /&gt;
Maarten van Gompel and Antal van den Bosch&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-1082 &lt;br /&gt;
Code: https://github.com/proycon/colibrita &lt;br /&gt;
&lt;br /&gt;
An Annotation Framework for Dense Event Ordering&lt;br /&gt;
Taylor Cassidy, Bill McDowell, Nathanael Chambers, Steven Bethard&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-2082&lt;br /&gt;
Code: https://github.com/nchambers/caevo&lt;br /&gt;
&lt;br /&gt;
DKPro Keyphrases: Flexible and Reusable Keyphrase Extraction Experiments&lt;br /&gt;
Nicolai Erbs, Pedro Bispo Santos, Iryna Gurevych, and Torsten Zesch&lt;br /&gt;
Paper: http://acl2014.org/acl2014/P14-5/pdf/P14-5006.pdf&lt;br /&gt;
Code: https://code.google.com/p/dkpro-keyphrases/&lt;br /&gt;
&lt;br /&gt;
Low Resource Semantic Role Labeling&lt;br /&gt;
Matthew R. Gormley; Margaret Mitchell; Benjamin Van Durme; Mark Dredze&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-1111 &lt;br /&gt;
Code: http://www.cs.jhu.edu/~mrg/software/ &lt;br /&gt;
&lt;br /&gt;
Adaptive Quality Estimation for Machine Translation&lt;br /&gt;
Marco Turchi, Antonios Anastasopoulos, José Guilherme Camargo de Souza and Matteo Negri&lt;br /&gt;
Paper: http://acl2014.org/acl2014/P14-1/pdf/P14-1067.pdf&lt;br /&gt;
Code: http://hlt.fbk.eu/technologies/aqet&lt;br /&gt;
&lt;br /&gt;
How much do word embeddings encode about syntax?&lt;br /&gt;
Jacob Andreas &amp;amp; Dan Klein&lt;br /&gt;
Paper: http://www.cs.berkeley.edu/~jda/papers/ak_syntax_embeddings.pdf&lt;br /&gt;
Code: http://www.cs.berkeley.edu/~jda/code/dense-parser.tar.gz&lt;br /&gt;
&lt;br /&gt;
From image descriptions to visual denotations:&lt;br /&gt;
New similarity metrics for semantic inference over event descriptions&lt;br /&gt;
Peter Young, Alice Lai, Micah Hodosh, Julia Hockenmaier&lt;br /&gt;
Paper: http://anthology.aclweb.org/Q/Q14/Q14-1006.pdf&lt;br /&gt;
Data: http://nlp.cs.illinois.edu/Denotation.html&lt;br /&gt;
&lt;br /&gt;
Humans Require Context to Infer Ironic Intent&lt;br /&gt;
(so Computers Probably do, too)&lt;br /&gt;
Byron C. Wallace, Do Kook Choe, Laura Kertz and Eugene Charniak&lt;br /&gt;
Paper: http://anthology.aclweb.org//P/P14/P14-2084.pdf&lt;br /&gt;
Data: https://github.com/bwallace/ACL-2014-irony&lt;br /&gt;
&lt;br /&gt;
Lexical Inference over Multi-Word Predicates: A Distributional Approach&lt;br /&gt;
Omri Abend, Shay B. Cohen and Mark Steedman&lt;br /&gt;
Paper: http://homepages.inf.ed.ac.uk/oabend/papers/mwpreds.pdf&lt;br /&gt;
Code: http://homepages.inf.ed.ac.uk/oabend/mwpreds.html&lt;br /&gt;
&lt;br /&gt;
Learning Structured Perceptrons for Coreference Resolution with Latent Antecedents and Non-local Features&lt;br /&gt;
Anders Björkelund and Jonas Kuhn&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-1005&lt;br /&gt;
Code: http://www.ims.uni-stuttgart.de/forschung/ressourcen/werkzeuge/HOTCoref.en.html&lt;br /&gt;
&lt;br /&gt;
*** Demo ***&lt;br /&gt;
&lt;br /&gt;
Simplified Dependency Annotations with GFL-Web&lt;br /&gt;
Michael Mordowanec, Nathan Schneider, Chris Dyer, Noah A. Smith&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-5021&lt;br /&gt;
Tool, code, &amp;amp; demo: http://www.ark.cs.cmu.edu/FUDG/&lt;br /&gt;
&lt;br /&gt;
Visualization, Search, and Error Analysis for Coreference Annotations&lt;br /&gt;
Markus Gärtner, Anders Björkelund, Gregor Thiele, Wolfgang Seeker, and Jonas Kuhn&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-5002&lt;br /&gt;
Code: http://www.ims.uni-stuttgart.de/forschung/ressourcen/werkzeuge/icarus.en.html&lt;br /&gt;
&lt;br /&gt;
*** TACL ***&lt;br /&gt;
&lt;br /&gt;
Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut&lt;br /&gt;
Nathan Schneider, Emily Danchik, Chris Dyer, Noah A. Smith&lt;br /&gt;
Paper: http://www.transacl.org/wp-content/uploads/2014/04/51.pdf&lt;br /&gt;
Data, system, &amp;amp; code: http://www.ark.cs.cmu.edu/LexSem/&lt;br /&gt;
&lt;br /&gt;
*** CoNLL ***&lt;br /&gt;
&lt;br /&gt;
Grounding language with points and paths in continuous spaces&lt;br /&gt;
Jacob Andreas &amp;amp; Dan Klein&lt;br /&gt;
Paper: http://www.cs.berkeley.edu/~jda/papers/ak_paths.pdf&lt;br /&gt;
Code: http://www.cs.berkeley.edu/~jda/code/ak_paths.tar.gz&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Is It All in the Phrasing? Computational Explorations in How We Say What We Say, and Why It Matters&lt;br /&gt;
(from Workshop 10: Language Technologies and Computational Social Science) &lt;br /&gt;
Invited talk by Lillian Lee&lt;br /&gt;
Datasets: http://www.cs.cornell.edu/home/llee/data/ &lt;br /&gt;
&lt;br /&gt;
Aikuma: A Mobile App for Collaborative Language Documentation&lt;br /&gt;
Steven Bird, Florian R. Hanke, Oliver Adams and Haejoong Lee,&lt;br /&gt;
Workshop on the Use of Computational Methods in the Study of Endangered Languages&lt;br /&gt;
Paper: http://anthology.aclweb.org//W/W14/W14-2201.pdf&lt;br /&gt;
Code: https://github.com/langtech/aikuma&lt;br /&gt;
&lt;br /&gt;
Dynamic Wordclouds and Vennclouds&lt;br /&gt;
Glen Smith and Erin Kelly&lt;br /&gt;
Paper: http://acl2014.org/acl2014/W14-31/pdf/W14-3103.pdf&lt;br /&gt;
Code: https://github.com/coppersmith/vennclouds&lt;br /&gt;
&lt;br /&gt;
Response-based Learning for Grounded Machine Translation&lt;br /&gt;
Stefan Riezler, Patrick Simianer, Carolin Haas&lt;br /&gt;
Paper: http://69.195.124.161/~aclwebor/anthology//P/P14/P14-1083.pdf&lt;br /&gt;
Code: https://github.com/pks/rebol&lt;br /&gt;
&lt;br /&gt;
Learning from MOTHs&lt;br /&gt;
Invited Talk by Chris Culy&lt;br /&gt;
Code: http://www.sfs.uni-tuebingen.de/~cculy/index_research.html&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Unsupervised Alignment of Privacy Policies using Hidden Markov Models&lt;br /&gt;
Rohan Ramanath, Fei Liu, Norman Sadeh, Noah A Smith&lt;br /&gt;
Paper : http://www.cs.cmu.edu/~nasmith/papers/ramanath+liu+sadeh+smith.acl14.pdf&lt;br /&gt;
Data: http://www.usableprivacy.org/data&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
SeedLing: Building and Using a Seed corpus for the Human Language Project&lt;br /&gt;
Guy Emerson; Liling Tan; Susanne Fertmann; Alexis Palmer; Michaela Regneri&lt;br /&gt;
Paper: http://69.195.124.161/~aclwebor/anthology//W/W14/W14-2211.pdf&lt;br /&gt;
Code/Data: https://github.com/alvations/SeedLing&lt;br /&gt;
(Plaintext corpus for &amp;gt;1000 languages with python API)&lt;/div&gt;</summary>
		<author><name>Williampli</name></author>
	</entry>
	<entry>
		<id>https://www.aclweb.org/aclwiki/index.php?title=ACL_2014_(Resources_by_paper)&amp;diff=10771</id>
		<title>ACL 2014 (Resources by paper)</title>
		<link rel="alternate" type="text/html" href="https://www.aclweb.org/aclwiki/index.php?title=ACL_2014_(Resources_by_paper)&amp;diff=10771"/>
		<updated>2014-06-29T04:06:51Z</updated>

		<summary type="html">&lt;p&gt;Williampli: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;For an explanation of this page, see [[Resources by paper]].&lt;br /&gt;
&lt;br /&gt;
This is a bottom-up, crowdsourced effort to contribute links to open data, source code, and demos related to ACL 2014 conference and workshop papers, demos, and other projects. Please share yours! Benefits include:  &lt;br /&gt;
* visibility for your work&lt;br /&gt;
* reproducible research&lt;br /&gt;
* future collaborations&lt;br /&gt;
* faster-paced innovation&lt;br /&gt;
&lt;br /&gt;
The link to the document used to collect this data is: http://bit.ly/acl2014code&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Smart Selection&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Patrick Pantel, Michael Gamon, and Ariel Fuxman&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://anthology.aclweb.org//P/P14/P14-1143.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; http://research.microsoft.com/en-us/downloads/eb42522c-068e-404c-b63f-cf632bd27344/default.aspx&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Context-dependent Semantic Parsing for Time Expressions&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Kenton Lee, Yoav Artzi, Jesse Dodge and Luke Zettlemoyer&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://yoavartzi.com/pub/ladz-acl.2014.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code, Data and Demo:&#039;&#039;&#039; http://lil.cs.washington.edu/uwtime/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Estimating Policy Trajectories During the Financial Crisis&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; William P. Li, David Larochelle, Andrew W. Lo&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2447293&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://github.com/wpli/billtracer&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; https://sites.google.com/site/unsharedtask2014/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
DKPro Text Classification Framework&lt;br /&gt;
Authors: Johannes Daxenberger and Oliver Ferschke and Iryna Gurevych and Torsten Zesch &lt;br /&gt;
Paper: https://www.ukp.tu-darmstadt.de/fileadmin/user_upload/Group_UKP/publikationen/2014/DKProTCPreprint.pdf&lt;br /&gt;
Code: https://code.google.com/p/dkpro-tc/&lt;br /&gt;
&lt;br /&gt;
Semantic Parsing via Paraphrasing&lt;br /&gt;
Code: http://www-nlp.stanford.edu/software/sempre/ &lt;br /&gt;
&lt;br /&gt;
Weakly Supervised User Profile Extraction from Twitter&lt;br /&gt;
http://aclweb.org/aclwiki/title=Profile_data http://69.195.124.161/~aclwebor/wiki/index.php?title=Profile_data &lt;br /&gt;
&lt;br /&gt;
Inferring User Political Preferences from Streaming Communications&lt;br /&gt;
http://www.cs.jhu.edu/~svitlana &lt;br /&gt;
&lt;br /&gt;
The effect of wording on message propagation: Topic- and author- controlled natural experiments on Twitter&lt;br /&gt;
Chenhao Tan, Lillian Lee, Bo Pang&lt;br /&gt;
Paper &amp;amp; Data: http://chenhaot.com/pages/wording-for-propagation.html&lt;br /&gt;
Demo: http://chenhaot.com/retweetedmore/ &lt;br /&gt;
&lt;br /&gt;
A Corpus of Sentence-level Revisions in Academic Writing: A Step towards Understanding Statement Strength in Communication&lt;br /&gt;
Chenhao Tan, Lillian Lee&lt;br /&gt;
Paper &amp;amp; Data: http://chenhaot.com/pages/wording-for-propagation.html&lt;br /&gt;
&lt;br /&gt;
Automatically Detecting Corresponding Edit-Turn-Pairs in Wikipedia&lt;br /&gt;
Data: http://www.ukp.tu-darmstadt.de/data/discourse-analysis/wikipedia-edit-turn-pair-corpus/&lt;br /&gt;
&lt;br /&gt;
Less grammar, more features&lt;br /&gt;
D. Hall, G. Durrett, and D. Klein&lt;br /&gt;
Code: https://github.com/dlwh/epic&lt;br /&gt;
Paper: http://www.cs.berkeley.edu/~dlwh/papers/spanparser.pdf&lt;br /&gt;
&lt;br /&gt;
Sparser, better, faster gpu parsing&lt;br /&gt;
D. Hall, T. Berg-Kirkpatrick, J. Canny, and D. Klein&lt;br /&gt;
Code: https://github.com/dlwh/puck&lt;br /&gt;
Paper: http://www.cs.berkeley.edu/~dlwh/papers/gpuparser.pdf&lt;br /&gt;
&lt;br /&gt;
Improving lexical embeddings with semantic knowledge&lt;br /&gt;
M. Yu, M. Dredze&lt;br /&gt;
Code: https://github.com/Gorov/JointRCM&lt;br /&gt;
&lt;br /&gt;
Two Is Bigger (and Better) Than One: the Wikipedia Bitaxonomy Project&lt;br /&gt;
T. Flati, D. Vannella, T. Pasini, R. Navigli&lt;br /&gt;
Data: http://wibitaxonomy.org&lt;br /&gt;
Paper: http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2014_Flatietal.pdf&lt;br /&gt;
&lt;br /&gt;
A Robust Approach to Aligning Heterogeneous Lexical Resources&lt;br /&gt;
M. T. Pilehvar, R. Navigli&lt;br /&gt;
Data: http://lcl.uniroma1.it/semalign&lt;br /&gt;
Paper: http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2014_Pilehvar_Navigli.pdf&lt;br /&gt;
&lt;br /&gt;
Validating and Extending Semantic Knowledge Bases using Video Games with a Purpose&lt;br /&gt;
D. Vannella, D. Jurgens, D. Scarfini, D. Toscani, R. Navigli&lt;br /&gt;
Demo: http://lcl.uniroma1.it/games&lt;br /&gt;
&lt;br /&gt;
WoSIT: A Word Sense Induction Toolkit for Search Result Clustering and Diversification&lt;br /&gt;
D. Vannella, T. Flati, R. Navigli&lt;br /&gt;
Data and demo: http://lcl.uniroma1.it/wosit/&lt;br /&gt;
Paper: http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2014_WoSIT.pdf&lt;br /&gt;
&lt;br /&gt;
Entity Linking meets Word Sense Disambiguation: a Unified Approach&lt;br /&gt;
A. Moro, A. Raganato, R. Navigli&lt;br /&gt;
Demo and API: http://babelfy.org&lt;br /&gt;
Paper: http://wwwusers.di.uniroma1.it/~navigli/pubs/TACL_2014_Babelfy.pdf&lt;br /&gt;
&lt;br /&gt;
A chance-corrected metric of inter-annotator agreement for syntax&lt;br /&gt;
A. Skjærholt&lt;br /&gt;
Code and data: https://github.com/arnsholt/syn-agreement&lt;br /&gt;
&lt;br /&gt;
A Piece of My Mind: A Sentiment Analysis Approach for Online Dispute Detection&lt;br /&gt;
Lu Wang, Claire Cardie&lt;br /&gt;
Data: https://ssli.ee.washington.edu/tial/projects/SCIL.html&lt;br /&gt;
&lt;br /&gt;
Be Appropriate and Funny: Automatic Entity Morph Encoding&lt;br /&gt;
Boliang Zhang, Hongzhao Huang, Xiaoman Pan, Heng Ji, Kevin Knight, Zhen Wen, Yizhou Sun, Jiawei Han and Bulent Yener&lt;br /&gt;
Paper: http://nlp.cs.rpi.edu/paper/morphencoding.pdf&lt;br /&gt;
Data: http://nlp.cs.rpi.edu/data/morphencoding.tar.gz &lt;br /&gt;
&lt;br /&gt;
Pattern Dictionary of English Prepositions&lt;br /&gt;
Ken Litkowski&lt;br /&gt;
Paper: http://69.195.124.161/~aclwebor/anthology//P/P14/P14-1120.pdf&lt;br /&gt;
Data: http://www.clres.com/db/TPPEditor.html and http://www.clres.com/pdep.html&lt;br /&gt;
&lt;br /&gt;
Mutual Disambiguation for Entity Linking&lt;br /&gt;
Eric Charton, Marie-Jean Meurs, Ludovic Jean-Louis, Michel Gagnon&lt;br /&gt;
Paper: http://aclanthology.info/papers/mutual-disambiguation-for-entity-linking&lt;br /&gt;
Code: https://code.google.com/p/semlinker/&lt;br /&gt;
&lt;br /&gt;
Zero-shot Entity Extraction from Web Pages&lt;br /&gt;
Panupong Pasupat and Percy Liang&lt;br /&gt;
Paper: http://aclanthology.info/papers/zero-shot-entity-extraction-from-web-pages&lt;br /&gt;
Code and data: &lt;br /&gt;
http://www-nlp.stanford.edu/software/web-entity-extractor-ACL2014/paper/www/index.html&lt;br /&gt;
&lt;br /&gt;
Temporal Annotation in the Clinical Domain&lt;br /&gt;
William Styler, Steven Bethard, Sean Finan, Martha Palmer, Sameer Pradhan, Piet C. Goren, Brad Erickson, Timothy Miller, Chen Lin, Guergana Savova, and James Pustejoysky&lt;br /&gt;
Paper: http://www.transacl.org/wp-content/uploads/2014/04/47.pdf&lt;br /&gt;
Project: http://thyme.healthnlp.org&lt;br /&gt;
Other tools mentioned:&lt;br /&gt;
https://code.google.com/p/cleartk/ &lt;br /&gt;
https://github.com/weitechen/anafora&lt;br /&gt;
&lt;br /&gt;
Experiments with crowdsourced re-annotation of a POS tagging data set&lt;br /&gt;
Dirk Hovy, Barbara Plank and Anders Søgaard&lt;br /&gt;
Paper: http://anthology.aclweb.org//P/P14/P14-2062.pdf&lt;br /&gt;
Other tools mentioned:&lt;br /&gt;
MACE (Multi-Annotator Competence Estimation) http://www.isi.edu/publications/licensed-sw/mace/&lt;br /&gt;
&lt;br /&gt;
Robust Entity Clustering via Phylogenetic Inference&lt;br /&gt;
Nicholas Andrews, Jason Eisner, Mark Dredze&lt;br /&gt;
Paper: http://www.aclweb.org/anthology/P14-1073&lt;br /&gt;
Code: (not live yet though?) https://bitbucket.org/noandrews/&lt;br /&gt;
&lt;br /&gt;
Fast and Robust Neural Network Joint Models for Statistical Machine Translation&lt;br /&gt;
Jacob Devlin, Rabih Zbib, Zhongqiang Huang, Thomas Lamar, Richard Schwartz, John Makhoul&lt;br /&gt;
Paper: http://www.aclweb.org/anthology/P14-1129&lt;br /&gt;
Replicated code - Neural Probabilistic Language Model Toolkit: http://nlg.isi.edu/software/nplm/&lt;br /&gt;
&lt;br /&gt;
Low-Rank Tensors for Scoring Dependency Structures&lt;br /&gt;
Tao Lei, Yu Xin, Yuan Zhang, Regina Barzilay, Tommi Jaakkola&lt;br /&gt;
Paper: http://www.aclweb.org/anthology/P14-1130&lt;br /&gt;
Code: https://github.com/taolei87/RBGParser&lt;br /&gt;
 &lt;br /&gt;
A Discriminative Graph-Based Parser for the Abstract Meaning Representation&lt;br /&gt;
Jeffrey Flanigan, Sam Thomson, Jaime Carbonell, Chris Dyer and Noah A. Smith &lt;br /&gt;
Paper: http://www.aclweb.org/anthology/P/P14/P14-1134&lt;br /&gt;
Code: https://github.com/jflanigan/jamr&lt;br /&gt;
&lt;br /&gt;
kLogNLP: Graph Kernel-based Relational Learning of Natural Language&lt;br /&gt;
Mathias Verbeke, Paolo Frasconi, Kurt De Grave, Fabrizio Costa, Luc De Raedt&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-5015&lt;br /&gt;
Code: http://dtai.cs.kuleuven.be/klognlp&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Translation Assistance by Translation of L1 Fragments in an L2 Context&lt;br /&gt;
Maarten van Gompel and Antal van den Bosch&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-1082 &lt;br /&gt;
Code: https://github.com/proycon/colibrita &lt;br /&gt;
&lt;br /&gt;
An Annotation Framework for Dense Event Ordering&lt;br /&gt;
Taylor Cassidy, Bill McDowell, Nathanael Chambers, Steven Bethard&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-2082&lt;br /&gt;
Code: https://github.com/nchambers/caevo&lt;br /&gt;
&lt;br /&gt;
DKPro Keyphrases: Flexible and Reusable Keyphrase Extraction Experiments&lt;br /&gt;
Nicolai Erbs, Pedro Bispo Santos, Iryna Gurevych, and Torsten Zesch&lt;br /&gt;
Paper: http://acl2014.org/acl2014/P14-5/pdf/P14-5006.pdf&lt;br /&gt;
Code: https://code.google.com/p/dkpro-keyphrases/&lt;br /&gt;
&lt;br /&gt;
Low Resource Semantic Role Labeling&lt;br /&gt;
Matthew R. Gormley; Margaret Mitchell; Benjamin Van Durme; Mark Dredze&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-1111 &lt;br /&gt;
Code: http://www.cs.jhu.edu/~mrg/software/ &lt;br /&gt;
&lt;br /&gt;
Adaptive Quality Estimation for Machine Translation&lt;br /&gt;
Marco Turchi, Antonios Anastasopoulos, José Guilherme Camargo de Souza and Matteo Negri&lt;br /&gt;
Paper: http://acl2014.org/acl2014/P14-1/pdf/P14-1067.pdf&lt;br /&gt;
Code: http://hlt.fbk.eu/technologies/aqet&lt;br /&gt;
&lt;br /&gt;
How much do word embeddings encode about syntax?&lt;br /&gt;
Jacob Andreas &amp;amp; Dan Klein&lt;br /&gt;
Paper: http://www.cs.berkeley.edu/~jda/papers/ak_syntax_embeddings.pdf&lt;br /&gt;
Code: http://www.cs.berkeley.edu/~jda/code/dense-parser.tar.gz&lt;br /&gt;
&lt;br /&gt;
From image descriptions to visual denotations:&lt;br /&gt;
New similarity metrics for semantic inference over event descriptions&lt;br /&gt;
Peter Young, Alice Lai, Micah Hodosh, Julia Hockenmaier&lt;br /&gt;
Paper: http://anthology.aclweb.org/Q/Q14/Q14-1006.pdf&lt;br /&gt;
Data: http://nlp.cs.illinois.edu/Denotation.html&lt;br /&gt;
&lt;br /&gt;
Humans Require Context to Infer Ironic Intent&lt;br /&gt;
(so Computers Probably do, too)&lt;br /&gt;
Byron C. Wallace, Do Kook Choe, Laura Kertz and Eugene Charniak&lt;br /&gt;
Paper: http://anthology.aclweb.org//P/P14/P14-2084.pdf&lt;br /&gt;
Data: https://github.com/bwallace/ACL-2014-irony&lt;br /&gt;
&lt;br /&gt;
Lexical Inference over Multi-Word Predicates: A Distributional Approach&lt;br /&gt;
Omri Abend, Shay B. Cohen and Mark Steedman&lt;br /&gt;
Paper: http://homepages.inf.ed.ac.uk/oabend/papers/mwpreds.pdf&lt;br /&gt;
Code: http://homepages.inf.ed.ac.uk/oabend/mwpreds.html&lt;br /&gt;
&lt;br /&gt;
Learning Structured Perceptrons for Coreference Resolution with Latent Antecedents and Non-local Features&lt;br /&gt;
Anders Björkelund and Jonas Kuhn&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-1005&lt;br /&gt;
Code: http://www.ims.uni-stuttgart.de/forschung/ressourcen/werkzeuge/HOTCoref.en.html&lt;br /&gt;
&lt;br /&gt;
*** Demo ***&lt;br /&gt;
&lt;br /&gt;
Simplified Dependency Annotations with GFL-Web&lt;br /&gt;
Michael Mordowanec, Nathan Schneider, Chris Dyer, Noah A. Smith&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-5021&lt;br /&gt;
Tool, code, &amp;amp; demo: http://www.ark.cs.cmu.edu/FUDG/&lt;br /&gt;
&lt;br /&gt;
Visualization, Search, and Error Analysis for Coreference Annotations&lt;br /&gt;
Markus Gärtner, Anders Björkelund, Gregor Thiele, Wolfgang Seeker, and Jonas Kuhn&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-5002&lt;br /&gt;
Code: http://www.ims.uni-stuttgart.de/forschung/ressourcen/werkzeuge/icarus.en.html&lt;br /&gt;
&lt;br /&gt;
*** TACL ***&lt;br /&gt;
&lt;br /&gt;
Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut&lt;br /&gt;
Nathan Schneider, Emily Danchik, Chris Dyer, Noah A. Smith&lt;br /&gt;
Paper: http://www.transacl.org/wp-content/uploads/2014/04/51.pdf&lt;br /&gt;
Data, system, &amp;amp; code: http://www.ark.cs.cmu.edu/LexSem/&lt;br /&gt;
&lt;br /&gt;
*** CoNLL ***&lt;br /&gt;
&lt;br /&gt;
Grounding language with points and paths in continuous spaces&lt;br /&gt;
Jacob Andreas &amp;amp; Dan Klein&lt;br /&gt;
Paper: http://www.cs.berkeley.edu/~jda/papers/ak_paths.pdf&lt;br /&gt;
Code: http://www.cs.berkeley.edu/~jda/code/ak_paths.tar.gz&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Is It All in the Phrasing? Computational Explorations in How We Say What We Say, and Why It Matters&lt;br /&gt;
(from Workshop 10: Language Technologies and Computational Social Science) &lt;br /&gt;
Invited talk by Lillian Lee&lt;br /&gt;
Datasets: http://www.cs.cornell.edu/home/llee/data/ &lt;br /&gt;
&lt;br /&gt;
Aikuma: A Mobile App for Collaborative Language Documentation&lt;br /&gt;
Steven Bird, Florian R. Hanke, Oliver Adams and Haejoong Lee,&lt;br /&gt;
Workshop on the Use of Computational Methods in the Study of Endangered Languages&lt;br /&gt;
Paper: http://anthology.aclweb.org//W/W14/W14-2201.pdf&lt;br /&gt;
Code: https://github.com/langtech/aikuma&lt;br /&gt;
&lt;br /&gt;
Dynamic Wordclouds and Vennclouds&lt;br /&gt;
Glen Smith and Erin Kelly&lt;br /&gt;
Paper: http://acl2014.org/acl2014/W14-31/pdf/W14-3103.pdf&lt;br /&gt;
Code: https://github.com/coppersmith/vennclouds&lt;br /&gt;
&lt;br /&gt;
Response-based Learning for Grounded Machine Translation&lt;br /&gt;
Stefan Riezler, Patrick Simianer, Carolin Haas&lt;br /&gt;
Paper: http://69.195.124.161/~aclwebor/anthology//P/P14/P14-1083.pdf&lt;br /&gt;
Code: https://github.com/pks/rebol&lt;br /&gt;
&lt;br /&gt;
Learning from MOTHs&lt;br /&gt;
Invited Talk by Chris Culy&lt;br /&gt;
Code: http://www.sfs.uni-tuebingen.de/~cculy/index_research.html&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Unsupervised Alignment of Privacy Policies using Hidden Markov Models&lt;br /&gt;
Rohan Ramanath, Fei Liu, Norman Sadeh, Noah A Smith&lt;br /&gt;
Paper : http://www.cs.cmu.edu/~nasmith/papers/ramanath+liu+sadeh+smith.acl14.pdf&lt;br /&gt;
Data: http://www.usableprivacy.org/data&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
SeedLing: Building and Using a Seed corpus for the Human Language Project&lt;br /&gt;
Guy Emerson; Liling Tan; Susanne Fertmann; Alexis Palmer; Michaela Regneri&lt;br /&gt;
[paper] [bib] [code/data] (Plaintext corpus for &amp;gt;1000 languages with python API)&lt;/div&gt;</summary>
		<author><name>Williampli</name></author>
	</entry>
	<entry>
		<id>https://www.aclweb.org/aclwiki/index.php?title=ACL_2014_(Resources_by_paper)&amp;diff=10770</id>
		<title>ACL 2014 (Resources by paper)</title>
		<link rel="alternate" type="text/html" href="https://www.aclweb.org/aclwiki/index.php?title=ACL_2014_(Resources_by_paper)&amp;diff=10770"/>
		<updated>2014-06-29T04:04:04Z</updated>

		<summary type="html">&lt;p&gt;Williampli: Undo revision 10769 by Williampli (talk)&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;For an explanation of this page, see [[Resources by paper]].&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Smart Selection&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Patrick Pantel, Michael Gamon, and Ariel Fuxman&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://anthology.aclweb.org//P/P14/P14-1143.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; http://research.microsoft.com/en-us/downloads/eb42522c-068e-404c-b63f-cf632bd27344/default.aspx&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Context-dependent Semantic Parsing for Time Expressions&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Kenton Lee, Yoav Artzi, Jesse Dodge and Luke Zettlemoyer&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://yoavartzi.com/pub/ladz-acl.2014.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code, Data and Demo:&#039;&#039;&#039; http://lil.cs.washington.edu/uwtime/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Estimating Policy Trajectories During the Financial Crisis&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; William P. Li, David Larochelle, Andrew W. Lo&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2447293&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://github.com/wpli/billtracer&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; https://sites.google.com/site/unsharedtask2014/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
DKPro Text Classification Framework&lt;br /&gt;
Authors: Johannes Daxenberger and Oliver Ferschke and Iryna Gurevych and Torsten Zesch &lt;br /&gt;
Paper: https://www.ukp.tu-darmstadt.de/fileadmin/user_upload/Group_UKP/publikationen/2014/DKProTCPreprint.pdf&lt;br /&gt;
Code: https://code.google.com/p/dkpro-tc/&lt;br /&gt;
&lt;br /&gt;
Semantic Parsing via Paraphrasing&lt;br /&gt;
Code: http://www-nlp.stanford.edu/software/sempre/ &lt;br /&gt;
&lt;br /&gt;
Weakly Supervised User Profile Extraction from Twitter&lt;br /&gt;
http://aclweb.org/aclwiki/title=Profile_data http://69.195.124.161/~aclwebor/wiki/index.php?title=Profile_data &lt;br /&gt;
&lt;br /&gt;
Inferring User Political Preferences from Streaming Communications&lt;br /&gt;
http://www.cs.jhu.edu/~svitlana &lt;br /&gt;
&lt;br /&gt;
The effect of wording on message propagation: Topic- and author- controlled natural experiments on Twitter&lt;br /&gt;
Chenhao Tan, Lillian Lee, Bo Pang&lt;br /&gt;
Paper &amp;amp; Data: http://chenhaot.com/pages/wording-for-propagation.html&lt;br /&gt;
Demo: http://chenhaot.com/retweetedmore/ &lt;br /&gt;
&lt;br /&gt;
A Corpus of Sentence-level Revisions in Academic Writing: A Step towards Understanding Statement Strength in Communication&lt;br /&gt;
Chenhao Tan, Lillian Lee&lt;br /&gt;
Paper &amp;amp; Data: http://chenhaot.com/pages/wording-for-propagation.html&lt;br /&gt;
&lt;br /&gt;
Automatically Detecting Corresponding Edit-Turn-Pairs in Wikipedia&lt;br /&gt;
Data: http://www.ukp.tu-darmstadt.de/data/discourse-analysis/wikipedia-edit-turn-pair-corpus/&lt;br /&gt;
&lt;br /&gt;
Less grammar, more features&lt;br /&gt;
D. Hall, G. Durrett, and D. Klein&lt;br /&gt;
Code: https://github.com/dlwh/epic&lt;br /&gt;
Paper: http://www.cs.berkeley.edu/~dlwh/papers/spanparser.pdf&lt;br /&gt;
&lt;br /&gt;
Sparser, better, faster gpu parsing&lt;br /&gt;
D. Hall, T. Berg-Kirkpatrick, J. Canny, and D. Klein&lt;br /&gt;
Code: https://github.com/dlwh/puck&lt;br /&gt;
Paper: http://www.cs.berkeley.edu/~dlwh/papers/gpuparser.pdf&lt;br /&gt;
&lt;br /&gt;
Improving lexical embeddings with semantic knowledge&lt;br /&gt;
M. Yu, M. Dredze&lt;br /&gt;
Code: https://github.com/Gorov/JointRCM&lt;br /&gt;
&lt;br /&gt;
Two Is Bigger (and Better) Than One: the Wikipedia Bitaxonomy Project&lt;br /&gt;
T. Flati, D. Vannella, T. Pasini, R. Navigli&lt;br /&gt;
Data: http://wibitaxonomy.org&lt;br /&gt;
Paper: http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2014_Flatietal.pdf&lt;br /&gt;
&lt;br /&gt;
A Robust Approach to Aligning Heterogeneous Lexical Resources&lt;br /&gt;
M. T. Pilehvar, R. Navigli&lt;br /&gt;
Data: http://lcl.uniroma1.it/semalign&lt;br /&gt;
Paper: http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2014_Pilehvar_Navigli.pdf&lt;br /&gt;
&lt;br /&gt;
Validating and Extending Semantic Knowledge Bases using Video Games with a Purpose&lt;br /&gt;
D. Vannella, D. Jurgens, D. Scarfini, D. Toscani, R. Navigli&lt;br /&gt;
Demo: http://lcl.uniroma1.it/games&lt;br /&gt;
&lt;br /&gt;
WoSIT: A Word Sense Induction Toolkit for Search Result Clustering and Diversification&lt;br /&gt;
D. Vannella, T. Flati, R. Navigli&lt;br /&gt;
Data and demo: http://lcl.uniroma1.it/wosit/&lt;br /&gt;
Paper: http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2014_WoSIT.pdf&lt;br /&gt;
&lt;br /&gt;
Entity Linking meets Word Sense Disambiguation: a Unified Approach&lt;br /&gt;
A. Moro, A. Raganato, R. Navigli&lt;br /&gt;
Demo and API: http://babelfy.org&lt;br /&gt;
Paper: http://wwwusers.di.uniroma1.it/~navigli/pubs/TACL_2014_Babelfy.pdf&lt;br /&gt;
&lt;br /&gt;
A chance-corrected metric of inter-annotator agreement for syntax&lt;br /&gt;
A. Skjærholt&lt;br /&gt;
Code and data: https://github.com/arnsholt/syn-agreement&lt;br /&gt;
&lt;br /&gt;
A Piece of My Mind: A Sentiment Analysis Approach for Online Dispute Detection&lt;br /&gt;
Lu Wang, Claire Cardie&lt;br /&gt;
Data: https://ssli.ee.washington.edu/tial/projects/SCIL.html&lt;br /&gt;
&lt;br /&gt;
Be Appropriate and Funny: Automatic Entity Morph Encoding&lt;br /&gt;
Boliang Zhang, Hongzhao Huang, Xiaoman Pan, Heng Ji, Kevin Knight, Zhen Wen, Yizhou Sun, Jiawei Han and Bulent Yener&lt;br /&gt;
Paper: http://nlp.cs.rpi.edu/paper/morphencoding.pdf&lt;br /&gt;
Data: http://nlp.cs.rpi.edu/data/morphencoding.tar.gz &lt;br /&gt;
&lt;br /&gt;
Pattern Dictionary of English Prepositions&lt;br /&gt;
Ken Litkowski&lt;br /&gt;
Paper: http://69.195.124.161/~aclwebor/anthology//P/P14/P14-1120.pdf&lt;br /&gt;
Data: http://www.clres.com/db/TPPEditor.html and http://www.clres.com/pdep.html&lt;br /&gt;
&lt;br /&gt;
Mutual Disambiguation for Entity Linking&lt;br /&gt;
Eric Charton, Marie-Jean Meurs, Ludovic Jean-Louis, Michel Gagnon&lt;br /&gt;
Paper: http://aclanthology.info/papers/mutual-disambiguation-for-entity-linking&lt;br /&gt;
Code: https://code.google.com/p/semlinker/&lt;br /&gt;
&lt;br /&gt;
Zero-shot Entity Extraction from Web Pages&lt;br /&gt;
Panupong Pasupat and Percy Liang&lt;br /&gt;
Paper: http://aclanthology.info/papers/zero-shot-entity-extraction-from-web-pages&lt;br /&gt;
Code and data: &lt;br /&gt;
http://www-nlp.stanford.edu/software/web-entity-extractor-ACL2014/paper/www/index.html&lt;br /&gt;
&lt;br /&gt;
Temporal Annotation in the Clinical Domain&lt;br /&gt;
William Styler, Steven Bethard, Sean Finan, Martha Palmer, Sameer Pradhan, Piet C. Goren, Brad Erickson, Timothy Miller, Chen Lin, Guergana Savova, and James Pustejoysky&lt;br /&gt;
Paper: http://www.transacl.org/wp-content/uploads/2014/04/47.pdf&lt;br /&gt;
Project: http://thyme.healthnlp.org&lt;br /&gt;
Other tools mentioned:&lt;br /&gt;
https://code.google.com/p/cleartk/ &lt;br /&gt;
https://github.com/weitechen/anafora&lt;br /&gt;
&lt;br /&gt;
Experiments with crowdsourced re-annotation of a POS tagging data set&lt;br /&gt;
Dirk Hovy, Barbara Plank and Anders Søgaard&lt;br /&gt;
Paper: http://anthology.aclweb.org//P/P14/P14-2062.pdf&lt;br /&gt;
Other tools mentioned:&lt;br /&gt;
MACE (Multi-Annotator Competence Estimation) http://www.isi.edu/publications/licensed-sw/mace/&lt;br /&gt;
&lt;br /&gt;
Robust Entity Clustering via Phylogenetic Inference&lt;br /&gt;
Nicholas Andrews, Jason Eisner, Mark Dredze&lt;br /&gt;
Paper: http://www.aclweb.org/anthology/P14-1073&lt;br /&gt;
Code: (not live yet though?) https://bitbucket.org/noandrews/&lt;br /&gt;
&lt;br /&gt;
Fast and Robust Neural Network Joint Models for Statistical Machine Translation&lt;br /&gt;
Jacob Devlin, Rabih Zbib, Zhongqiang Huang, Thomas Lamar, Richard Schwartz, John Makhoul&lt;br /&gt;
Paper: http://www.aclweb.org/anthology/P14-1129&lt;br /&gt;
Replicated code - Neural Probabilistic Language Model Toolkit: http://nlg.isi.edu/software/nplm/&lt;br /&gt;
&lt;br /&gt;
Low-Rank Tensors for Scoring Dependency Structures&lt;br /&gt;
Tao Lei, Yu Xin, Yuan Zhang, Regina Barzilay, Tommi Jaakkola&lt;br /&gt;
Paper: http://www.aclweb.org/anthology/P14-1130&lt;br /&gt;
Code: https://github.com/taolei87/RBGParser&lt;br /&gt;
 &lt;br /&gt;
A Discriminative Graph-Based Parser for the Abstract Meaning Representation&lt;br /&gt;
Jeffrey Flanigan, Sam Thomson, Jaime Carbonell, Chris Dyer and Noah A. Smith &lt;br /&gt;
Paper: http://www.aclweb.org/anthology/P/P14/P14-1134&lt;br /&gt;
Code: https://github.com/jflanigan/jamr&lt;br /&gt;
&lt;br /&gt;
kLogNLP: Graph Kernel-based Relational Learning of Natural Language&lt;br /&gt;
Mathias Verbeke, Paolo Frasconi, Kurt De Grave, Fabrizio Costa, Luc De Raedt&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-5015&lt;br /&gt;
Code: http://dtai.cs.kuleuven.be/klognlp&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Translation Assistance by Translation of L1 Fragments in an L2 Context&lt;br /&gt;
Maarten van Gompel and Antal van den Bosch&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-1082 &lt;br /&gt;
Code: https://github.com/proycon/colibrita &lt;br /&gt;
&lt;br /&gt;
An Annotation Framework for Dense Event Ordering&lt;br /&gt;
Taylor Cassidy, Bill McDowell, Nathanael Chambers, Steven Bethard&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-2082&lt;br /&gt;
Code: https://github.com/nchambers/caevo&lt;br /&gt;
&lt;br /&gt;
DKPro Keyphrases: Flexible and Reusable Keyphrase Extraction Experiments&lt;br /&gt;
Nicolai Erbs, Pedro Bispo Santos, Iryna Gurevych, and Torsten Zesch&lt;br /&gt;
Paper: http://acl2014.org/acl2014/P14-5/pdf/P14-5006.pdf&lt;br /&gt;
Code: https://code.google.com/p/dkpro-keyphrases/&lt;br /&gt;
&lt;br /&gt;
Low Resource Semantic Role Labeling&lt;br /&gt;
Matthew R. Gormley; Margaret Mitchell; Benjamin Van Durme; Mark Dredze&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-1111 &lt;br /&gt;
Code: http://www.cs.jhu.edu/~mrg/software/ &lt;br /&gt;
&lt;br /&gt;
Adaptive Quality Estimation for Machine Translation&lt;br /&gt;
Marco Turchi, Antonios Anastasopoulos, José Guilherme Camargo de Souza and Matteo Negri&lt;br /&gt;
Paper: http://acl2014.org/acl2014/P14-1/pdf/P14-1067.pdf&lt;br /&gt;
Code: http://hlt.fbk.eu/technologies/aqet&lt;br /&gt;
&lt;br /&gt;
How much do word embeddings encode about syntax?&lt;br /&gt;
Jacob Andreas &amp;amp; Dan Klein&lt;br /&gt;
Paper: http://www.cs.berkeley.edu/~jda/papers/ak_syntax_embeddings.pdf&lt;br /&gt;
Code: http://www.cs.berkeley.edu/~jda/code/dense-parser.tar.gz&lt;br /&gt;
&lt;br /&gt;
From image descriptions to visual denotations:&lt;br /&gt;
New similarity metrics for semantic inference over event descriptions&lt;br /&gt;
Peter Young, Alice Lai, Micah Hodosh, Julia Hockenmaier&lt;br /&gt;
Paper: http://anthology.aclweb.org/Q/Q14/Q14-1006.pdf&lt;br /&gt;
Data: http://nlp.cs.illinois.edu/Denotation.html&lt;br /&gt;
&lt;br /&gt;
Humans Require Context to Infer Ironic Intent&lt;br /&gt;
(so Computers Probably do, too)&lt;br /&gt;
Byron C. Wallace, Do Kook Choe, Laura Kertz and Eugene Charniak&lt;br /&gt;
Paper: http://anthology.aclweb.org//P/P14/P14-2084.pdf&lt;br /&gt;
Data: https://github.com/bwallace/ACL-2014-irony&lt;br /&gt;
&lt;br /&gt;
Lexical Inference over Multi-Word Predicates: A Distributional Approach&lt;br /&gt;
Omri Abend, Shay B. Cohen and Mark Steedman&lt;br /&gt;
Paper: http://homepages.inf.ed.ac.uk/oabend/papers/mwpreds.pdf&lt;br /&gt;
Code: http://homepages.inf.ed.ac.uk/oabend/mwpreds.html&lt;br /&gt;
&lt;br /&gt;
Learning Structured Perceptrons for Coreference Resolution with Latent Antecedents and Non-local Features&lt;br /&gt;
Anders Björkelund and Jonas Kuhn&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-1005&lt;br /&gt;
Code: http://www.ims.uni-stuttgart.de/forschung/ressourcen/werkzeuge/HOTCoref.en.html&lt;br /&gt;
&lt;br /&gt;
*** Demo ***&lt;br /&gt;
&lt;br /&gt;
Simplified Dependency Annotations with GFL-Web&lt;br /&gt;
Michael Mordowanec, Nathan Schneider, Chris Dyer, Noah A. Smith&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-5021&lt;br /&gt;
Tool, code, &amp;amp; demo: http://www.ark.cs.cmu.edu/FUDG/&lt;br /&gt;
&lt;br /&gt;
Visualization, Search, and Error Analysis for Coreference Annotations&lt;br /&gt;
Markus Gärtner, Anders Björkelund, Gregor Thiele, Wolfgang Seeker, and Jonas Kuhn&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-5002&lt;br /&gt;
Code: http://www.ims.uni-stuttgart.de/forschung/ressourcen/werkzeuge/icarus.en.html&lt;br /&gt;
&lt;br /&gt;
*** TACL ***&lt;br /&gt;
&lt;br /&gt;
Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut&lt;br /&gt;
Nathan Schneider, Emily Danchik, Chris Dyer, Noah A. Smith&lt;br /&gt;
Paper: http://www.transacl.org/wp-content/uploads/2014/04/51.pdf&lt;br /&gt;
Data, system, &amp;amp; code: http://www.ark.cs.cmu.edu/LexSem/&lt;br /&gt;
&lt;br /&gt;
*** CoNLL ***&lt;br /&gt;
&lt;br /&gt;
Grounding language with points and paths in continuous spaces&lt;br /&gt;
Jacob Andreas &amp;amp; Dan Klein&lt;br /&gt;
Paper: http://www.cs.berkeley.edu/~jda/papers/ak_paths.pdf&lt;br /&gt;
Code: http://www.cs.berkeley.edu/~jda/code/ak_paths.tar.gz&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Is It All in the Phrasing? Computational Explorations in How We Say What We Say, and Why It Matters&lt;br /&gt;
(from Workshop 10: Language Technologies and Computational Social Science) &lt;br /&gt;
Invited talk by Lillian Lee&lt;br /&gt;
Datasets: http://www.cs.cornell.edu/home/llee/data/ &lt;br /&gt;
&lt;br /&gt;
Aikuma: A Mobile App for Collaborative Language Documentation&lt;br /&gt;
Steven Bird, Florian R. Hanke, Oliver Adams and Haejoong Lee,&lt;br /&gt;
Workshop on the Use of Computational Methods in the Study of Endangered Languages&lt;br /&gt;
Paper: http://anthology.aclweb.org//W/W14/W14-2201.pdf&lt;br /&gt;
Code: https://github.com/langtech/aikuma&lt;br /&gt;
&lt;br /&gt;
Dynamic Wordclouds and Vennclouds&lt;br /&gt;
Glen Smith and Erin Kelly&lt;br /&gt;
Paper: http://acl2014.org/acl2014/W14-31/pdf/W14-3103.pdf&lt;br /&gt;
Code: https://github.com/coppersmith/vennclouds&lt;br /&gt;
&lt;br /&gt;
Response-based Learning for Grounded Machine Translation&lt;br /&gt;
Stefan Riezler, Patrick Simianer, Carolin Haas&lt;br /&gt;
Paper: http://69.195.124.161/~aclwebor/anthology//P/P14/P14-1083.pdf&lt;br /&gt;
Code: https://github.com/pks/rebol&lt;br /&gt;
&lt;br /&gt;
Learning from MOTHs&lt;br /&gt;
Invited Talk by Chris Culy&lt;br /&gt;
Code: http://www.sfs.uni-tuebingen.de/~cculy/index_research.html&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Unsupervised Alignment of Privacy Policies using Hidden Markov Models&lt;br /&gt;
Rohan Ramanath, Fei Liu, Norman Sadeh, Noah A Smith&lt;br /&gt;
Paper : http://www.cs.cmu.edu/~nasmith/papers/ramanath+liu+sadeh+smith.acl14.pdf&lt;br /&gt;
Data: http://www.usableprivacy.org/data&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
SeedLing: Building and Using a Seed corpus for the Human Language Project&lt;br /&gt;
Guy Emerson; Liling Tan; Susanne Fertmann; Alexis Palmer; Michaela Regneri&lt;br /&gt;
[paper] [bib] [code/data] (Plaintext corpus for &amp;gt;1000 languages with python API)&lt;/div&gt;</summary>
		<author><name>Williampli</name></author>
	</entry>
	<entry>
		<id>https://www.aclweb.org/aclwiki/index.php?title=ACL_2014_(Resources_by_paper)&amp;diff=10769</id>
		<title>ACL 2014 (Resources by paper)</title>
		<link rel="alternate" type="text/html" href="https://www.aclweb.org/aclwiki/index.php?title=ACL_2014_(Resources_by_paper)&amp;diff=10769"/>
		<updated>2014-06-29T04:02:47Z</updated>

		<summary type="html">&lt;p&gt;Williampli: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Smart Selection&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Patrick Pantel, Michael Gamon, and Ariel Fuxman&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://anthology.aclweb.org//P/P14/P14-1143.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; http://research.microsoft.com/en-us/downloads/eb42522c-068e-404c-b63f-cf632bd27344/default.aspx&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Context-dependent Semantic Parsing for Time Expressions&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; Kenton Lee, Yoav Artzi, Jesse Dodge and Luke Zettlemoyer&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://yoavartzi.com/pub/ladz-acl.2014.pdf&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code, Data and Demo:&#039;&#039;&#039; http://lil.cs.washington.edu/uwtime/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title:&#039;&#039;&#039; &#039;&#039;Estimating Policy Trajectories During the Financial Crisis&#039;&#039;&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Authors:&#039;&#039;&#039; William P. Li, David Larochelle, Andrew W. Lo&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Paper:&#039;&#039;&#039; http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2447293&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Code:&#039;&#039;&#039; https://github.com/wpli/billtracer&amp;lt;br&amp;gt;&lt;br /&gt;
&#039;&#039;&#039;Data:&#039;&#039;&#039; https://sites.google.com/site/unsharedtask2014/&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
DKPro Text Classification Framework&lt;br /&gt;
Authors: Johannes Daxenberger and Oliver Ferschke and Iryna Gurevych and Torsten Zesch &lt;br /&gt;
Paper: https://www.ukp.tu-darmstadt.de/fileadmin/user_upload/Group_UKP/publikationen/2014/DKProTCPreprint.pdf&lt;br /&gt;
Code: https://code.google.com/p/dkpro-tc/&lt;br /&gt;
&lt;br /&gt;
Semantic Parsing via Paraphrasing&lt;br /&gt;
Code: http://www-nlp.stanford.edu/software/sempre/ &lt;br /&gt;
&lt;br /&gt;
Weakly Supervised User Profile Extraction from Twitter&lt;br /&gt;
http://aclweb.org/aclwiki/title=Profile_data http://69.195.124.161/~aclwebor/wiki/index.php?title=Profile_data &lt;br /&gt;
&lt;br /&gt;
Inferring User Political Preferences from Streaming Communications&lt;br /&gt;
http://www.cs.jhu.edu/~svitlana &lt;br /&gt;
&lt;br /&gt;
The effect of wording on message propagation: Topic- and author- controlled natural experiments on Twitter&lt;br /&gt;
Chenhao Tan, Lillian Lee, Bo Pang&lt;br /&gt;
Paper &amp;amp; Data: http://chenhaot.com/pages/wording-for-propagation.html&lt;br /&gt;
Demo: http://chenhaot.com/retweetedmore/ &lt;br /&gt;
&lt;br /&gt;
A Corpus of Sentence-level Revisions in Academic Writing: A Step towards Understanding Statement Strength in Communication&lt;br /&gt;
Chenhao Tan, Lillian Lee&lt;br /&gt;
Paper &amp;amp; Data: http://chenhaot.com/pages/wording-for-propagation.html&lt;br /&gt;
&lt;br /&gt;
Automatically Detecting Corresponding Edit-Turn-Pairs in Wikipedia&lt;br /&gt;
Data: http://www.ukp.tu-darmstadt.de/data/discourse-analysis/wikipedia-edit-turn-pair-corpus/&lt;br /&gt;
&lt;br /&gt;
Less grammar, more features&lt;br /&gt;
D. Hall, G. Durrett, and D. Klein&lt;br /&gt;
Code: https://github.com/dlwh/epic&lt;br /&gt;
Paper: http://www.cs.berkeley.edu/~dlwh/papers/spanparser.pdf&lt;br /&gt;
&lt;br /&gt;
Sparser, better, faster gpu parsing&lt;br /&gt;
D. Hall, T. Berg-Kirkpatrick, J. Canny, and D. Klein&lt;br /&gt;
Code: https://github.com/dlwh/puck&lt;br /&gt;
Paper: http://www.cs.berkeley.edu/~dlwh/papers/gpuparser.pdf&lt;br /&gt;
&lt;br /&gt;
Improving lexical embeddings with semantic knowledge&lt;br /&gt;
M. Yu, M. Dredze&lt;br /&gt;
Code: https://github.com/Gorov/JointRCM&lt;br /&gt;
&lt;br /&gt;
Two Is Bigger (and Better) Than One: the Wikipedia Bitaxonomy Project&lt;br /&gt;
T. Flati, D. Vannella, T. Pasini, R. Navigli&lt;br /&gt;
Data: http://wibitaxonomy.org&lt;br /&gt;
Paper: http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2014_Flatietal.pdf&lt;br /&gt;
&lt;br /&gt;
A Robust Approach to Aligning Heterogeneous Lexical Resources&lt;br /&gt;
M. T. Pilehvar, R. Navigli&lt;br /&gt;
Data: http://lcl.uniroma1.it/semalign&lt;br /&gt;
Paper: http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2014_Pilehvar_Navigli.pdf&lt;br /&gt;
&lt;br /&gt;
Validating and Extending Semantic Knowledge Bases using Video Games with a Purpose&lt;br /&gt;
D. Vannella, D. Jurgens, D. Scarfini, D. Toscani, R. Navigli&lt;br /&gt;
Demo: http://lcl.uniroma1.it/games&lt;br /&gt;
&lt;br /&gt;
WoSIT: A Word Sense Induction Toolkit for Search Result Clustering and Diversification&lt;br /&gt;
D. Vannella, T. Flati, R. Navigli&lt;br /&gt;
Data and demo: http://lcl.uniroma1.it/wosit/&lt;br /&gt;
Paper: http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2014_WoSIT.pdf&lt;br /&gt;
&lt;br /&gt;
Entity Linking meets Word Sense Disambiguation: a Unified Approach&lt;br /&gt;
A. Moro, A. Raganato, R. Navigli&lt;br /&gt;
Demo and API: http://babelfy.org&lt;br /&gt;
Paper: http://wwwusers.di.uniroma1.it/~navigli/pubs/TACL_2014_Babelfy.pdf&lt;br /&gt;
&lt;br /&gt;
A chance-corrected metric of inter-annotator agreement for syntax&lt;br /&gt;
A. Skjærholt&lt;br /&gt;
Code and data: https://github.com/arnsholt/syn-agreement&lt;br /&gt;
&lt;br /&gt;
A Piece of My Mind: A Sentiment Analysis Approach for Online Dispute Detection&lt;br /&gt;
Lu Wang, Claire Cardie&lt;br /&gt;
Data: https://ssli.ee.washington.edu/tial/projects/SCIL.html&lt;br /&gt;
&lt;br /&gt;
Be Appropriate and Funny: Automatic Entity Morph Encoding&lt;br /&gt;
Boliang Zhang, Hongzhao Huang, Xiaoman Pan, Heng Ji, Kevin Knight, Zhen Wen, Yizhou Sun, Jiawei Han and Bulent Yener&lt;br /&gt;
Paper: http://nlp.cs.rpi.edu/paper/morphencoding.pdf&lt;br /&gt;
Data: http://nlp.cs.rpi.edu/data/morphencoding.tar.gz &lt;br /&gt;
&lt;br /&gt;
Pattern Dictionary of English Prepositions&lt;br /&gt;
Ken Litkowski&lt;br /&gt;
Paper: http://69.195.124.161/~aclwebor/anthology//P/P14/P14-1120.pdf&lt;br /&gt;
Data: http://www.clres.com/db/TPPEditor.html and http://www.clres.com/pdep.html&lt;br /&gt;
&lt;br /&gt;
Mutual Disambiguation for Entity Linking&lt;br /&gt;
Eric Charton, Marie-Jean Meurs, Ludovic Jean-Louis, Michel Gagnon&lt;br /&gt;
Paper: http://aclanthology.info/papers/mutual-disambiguation-for-entity-linking&lt;br /&gt;
Code: https://code.google.com/p/semlinker/&lt;br /&gt;
&lt;br /&gt;
Zero-shot Entity Extraction from Web Pages&lt;br /&gt;
Panupong Pasupat and Percy Liang&lt;br /&gt;
Paper: http://aclanthology.info/papers/zero-shot-entity-extraction-from-web-pages&lt;br /&gt;
Code and data: &lt;br /&gt;
http://www-nlp.stanford.edu/software/web-entity-extractor-ACL2014/paper/www/index.html&lt;br /&gt;
&lt;br /&gt;
Temporal Annotation in the Clinical Domain&lt;br /&gt;
William Styler, Steven Bethard, Sean Finan, Martha Palmer, Sameer Pradhan, Piet C. Goren, Brad Erickson, Timothy Miller, Chen Lin, Guergana Savova, and James Pustejoysky&lt;br /&gt;
Paper: http://www.transacl.org/wp-content/uploads/2014/04/47.pdf&lt;br /&gt;
Project: http://thyme.healthnlp.org&lt;br /&gt;
Other tools mentioned:&lt;br /&gt;
https://code.google.com/p/cleartk/ &lt;br /&gt;
https://github.com/weitechen/anafora&lt;br /&gt;
&lt;br /&gt;
Experiments with crowdsourced re-annotation of a POS tagging data set&lt;br /&gt;
Dirk Hovy, Barbara Plank and Anders Søgaard&lt;br /&gt;
Paper: http://anthology.aclweb.org//P/P14/P14-2062.pdf&lt;br /&gt;
Other tools mentioned:&lt;br /&gt;
MACE (Multi-Annotator Competence Estimation) http://www.isi.edu/publications/licensed-sw/mace/&lt;br /&gt;
&lt;br /&gt;
Robust Entity Clustering via Phylogenetic Inference&lt;br /&gt;
Nicholas Andrews, Jason Eisner, Mark Dredze&lt;br /&gt;
Paper: http://www.aclweb.org/anthology/P14-1073&lt;br /&gt;
Code: (not live yet though?) https://bitbucket.org/noandrews/&lt;br /&gt;
&lt;br /&gt;
Fast and Robust Neural Network Joint Models for Statistical Machine Translation&lt;br /&gt;
Jacob Devlin, Rabih Zbib, Zhongqiang Huang, Thomas Lamar, Richard Schwartz, John Makhoul&lt;br /&gt;
Paper: http://www.aclweb.org/anthology/P14-1129&lt;br /&gt;
Replicated code - Neural Probabilistic Language Model Toolkit: http://nlg.isi.edu/software/nplm/&lt;br /&gt;
&lt;br /&gt;
Low-Rank Tensors for Scoring Dependency Structures&lt;br /&gt;
Tao Lei, Yu Xin, Yuan Zhang, Regina Barzilay, Tommi Jaakkola&lt;br /&gt;
Paper: http://www.aclweb.org/anthology/P14-1130&lt;br /&gt;
Code: https://github.com/taolei87/RBGParser&lt;br /&gt;
 &lt;br /&gt;
A Discriminative Graph-Based Parser for the Abstract Meaning Representation&lt;br /&gt;
Jeffrey Flanigan, Sam Thomson, Jaime Carbonell, Chris Dyer and Noah A. Smith &lt;br /&gt;
Paper: http://www.aclweb.org/anthology/P/P14/P14-1134&lt;br /&gt;
Code: https://github.com/jflanigan/jamr&lt;br /&gt;
&lt;br /&gt;
kLogNLP: Graph Kernel-based Relational Learning of Natural Language&lt;br /&gt;
Mathias Verbeke, Paolo Frasconi, Kurt De Grave, Fabrizio Costa, Luc De Raedt&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-5015&lt;br /&gt;
Code: http://dtai.cs.kuleuven.be/klognlp&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Translation Assistance by Translation of L1 Fragments in an L2 Context&lt;br /&gt;
Maarten van Gompel and Antal van den Bosch&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-1082 &lt;br /&gt;
Code: https://github.com/proycon/colibrita &lt;br /&gt;
&lt;br /&gt;
An Annotation Framework for Dense Event Ordering&lt;br /&gt;
Taylor Cassidy, Bill McDowell, Nathanael Chambers, Steven Bethard&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-2082&lt;br /&gt;
Code: https://github.com/nchambers/caevo&lt;br /&gt;
&lt;br /&gt;
DKPro Keyphrases: Flexible and Reusable Keyphrase Extraction Experiments&lt;br /&gt;
Nicolai Erbs, Pedro Bispo Santos, Iryna Gurevych, and Torsten Zesch&lt;br /&gt;
Paper: http://acl2014.org/acl2014/P14-5/pdf/P14-5006.pdf&lt;br /&gt;
Code: https://code.google.com/p/dkpro-keyphrases/&lt;br /&gt;
&lt;br /&gt;
Low Resource Semantic Role Labeling&lt;br /&gt;
Matthew R. Gormley; Margaret Mitchell; Benjamin Van Durme; Mark Dredze&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-1111 &lt;br /&gt;
Code: http://www.cs.jhu.edu/~mrg/software/ &lt;br /&gt;
&lt;br /&gt;
Adaptive Quality Estimation for Machine Translation&lt;br /&gt;
Marco Turchi, Antonios Anastasopoulos, José Guilherme Camargo de Souza and Matteo Negri&lt;br /&gt;
Paper: http://acl2014.org/acl2014/P14-1/pdf/P14-1067.pdf&lt;br /&gt;
Code: http://hlt.fbk.eu/technologies/aqet&lt;br /&gt;
&lt;br /&gt;
How much do word embeddings encode about syntax?&lt;br /&gt;
Jacob Andreas &amp;amp; Dan Klein&lt;br /&gt;
Paper: http://www.cs.berkeley.edu/~jda/papers/ak_syntax_embeddings.pdf&lt;br /&gt;
Code: http://www.cs.berkeley.edu/~jda/code/dense-parser.tar.gz&lt;br /&gt;
&lt;br /&gt;
From image descriptions to visual denotations:&lt;br /&gt;
New similarity metrics for semantic inference over event descriptions&lt;br /&gt;
Peter Young, Alice Lai, Micah Hodosh, Julia Hockenmaier&lt;br /&gt;
Paper: http://anthology.aclweb.org/Q/Q14/Q14-1006.pdf&lt;br /&gt;
Data: http://nlp.cs.illinois.edu/Denotation.html&lt;br /&gt;
&lt;br /&gt;
Humans Require Context to Infer Ironic Intent&lt;br /&gt;
(so Computers Probably do, too)&lt;br /&gt;
Byron C. Wallace, Do Kook Choe, Laura Kertz and Eugene Charniak&lt;br /&gt;
Paper: http://anthology.aclweb.org//P/P14/P14-2084.pdf&lt;br /&gt;
Data: https://github.com/bwallace/ACL-2014-irony&lt;br /&gt;
&lt;br /&gt;
Lexical Inference over Multi-Word Predicates: A Distributional Approach&lt;br /&gt;
Omri Abend, Shay B. Cohen and Mark Steedman&lt;br /&gt;
Paper: http://homepages.inf.ed.ac.uk/oabend/papers/mwpreds.pdf&lt;br /&gt;
Code: http://homepages.inf.ed.ac.uk/oabend/mwpreds.html&lt;br /&gt;
&lt;br /&gt;
Learning Structured Perceptrons for Coreference Resolution with Latent Antecedents and Non-local Features&lt;br /&gt;
Anders Björkelund and Jonas Kuhn&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-1005&lt;br /&gt;
Code: http://www.ims.uni-stuttgart.de/forschung/ressourcen/werkzeuge/HOTCoref.en.html&lt;br /&gt;
&lt;br /&gt;
*** Demo ***&lt;br /&gt;
&lt;br /&gt;
Simplified Dependency Annotations with GFL-Web&lt;br /&gt;
Michael Mordowanec, Nathan Schneider, Chris Dyer, Noah A. Smith&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-5021&lt;br /&gt;
Tool, code, &amp;amp; demo: http://www.ark.cs.cmu.edu/FUDG/&lt;br /&gt;
&lt;br /&gt;
Visualization, Search, and Error Analysis for Coreference Annotations&lt;br /&gt;
Markus Gärtner, Anders Björkelund, Gregor Thiele, Wolfgang Seeker, and Jonas Kuhn&lt;br /&gt;
Paper: http://aclweb.org/anthology/P14-5002&lt;br /&gt;
Code: http://www.ims.uni-stuttgart.de/forschung/ressourcen/werkzeuge/icarus.en.html&lt;br /&gt;
&lt;br /&gt;
*** TACL ***&lt;br /&gt;
&lt;br /&gt;
Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut&lt;br /&gt;
Nathan Schneider, Emily Danchik, Chris Dyer, Noah A. Smith&lt;br /&gt;
Paper: http://www.transacl.org/wp-content/uploads/2014/04/51.pdf&lt;br /&gt;
Data, system, &amp;amp; code: http://www.ark.cs.cmu.edu/LexSem/&lt;br /&gt;
&lt;br /&gt;
*** CoNLL ***&lt;br /&gt;
&lt;br /&gt;
Grounding language with points and paths in continuous spaces&lt;br /&gt;
Jacob Andreas &amp;amp; Dan Klein&lt;br /&gt;
Paper: http://www.cs.berkeley.edu/~jda/papers/ak_paths.pdf&lt;br /&gt;
Code: http://www.cs.berkeley.edu/~jda/code/ak_paths.tar.gz&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Is It All in the Phrasing? Computational Explorations in How We Say What We Say, and Why It Matters&lt;br /&gt;
(from Workshop 10: Language Technologies and Computational Social Science) &lt;br /&gt;
Invited talk by Lillian Lee&lt;br /&gt;
Datasets: http://www.cs.cornell.edu/home/llee/data/ &lt;br /&gt;
&lt;br /&gt;
Aikuma: A Mobile App for Collaborative Language Documentation&lt;br /&gt;
Steven Bird, Florian R. Hanke, Oliver Adams and Haejoong Lee,&lt;br /&gt;
Workshop on the Use of Computational Methods in the Study of Endangered Languages&lt;br /&gt;
Paper: http://anthology.aclweb.org//W/W14/W14-2201.pdf&lt;br /&gt;
Code: https://github.com/langtech/aikuma&lt;br /&gt;
&lt;br /&gt;
Dynamic Wordclouds and Vennclouds&lt;br /&gt;
Glen Smith and Erin Kelly&lt;br /&gt;
Paper: http://acl2014.org/acl2014/W14-31/pdf/W14-3103.pdf&lt;br /&gt;
Code: https://github.com/coppersmith/vennclouds&lt;br /&gt;
&lt;br /&gt;
Response-based Learning for Grounded Machine Translation&lt;br /&gt;
Stefan Riezler, Patrick Simianer, Carolin Haas&lt;br /&gt;
Paper: http://69.195.124.161/~aclwebor/anthology//P/P14/P14-1083.pdf&lt;br /&gt;
Code: https://github.com/pks/rebol&lt;br /&gt;
&lt;br /&gt;
Learning from MOTHs&lt;br /&gt;
Invited Talk by Chris Culy&lt;br /&gt;
Code: http://www.sfs.uni-tuebingen.de/~cculy/index_research.html&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Unsupervised Alignment of Privacy Policies using Hidden Markov Models&lt;br /&gt;
Rohan Ramanath, Fei Liu, Norman Sadeh, Noah A Smith&lt;br /&gt;
Paper : http://www.cs.cmu.edu/~nasmith/papers/ramanath+liu+sadeh+smith.acl14.pdf&lt;br /&gt;
Data: http://www.usableprivacy.org/data&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
SeedLing: Building and Using a Seed corpus for the Human Language Project&lt;br /&gt;
Guy Emerson; Liling Tan; Susanne Fertmann; Alexis Palmer; Michaela Regneri&lt;br /&gt;
[paper] [bib] [code/data] (Plaintext corpus for &amp;gt;1000 languages with python API)&lt;/div&gt;</summary>
		<author><name>Williampli</name></author>
	</entry>
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