Difference between revisions of "BioNLP 2023"
| Line 80: | Line 80: | ||
* Asma Ben Abacha, US National Library of Medicine | * Asma Ben Abacha, US National Library of Medicine | ||
* Cosmin (Adi) Bejan, Vanderbilt University, Nashville, TN | * Cosmin (Adi) Bejan, Vanderbilt University, Nashville, TN | ||
| − | * Sai Bhaskar, Carnegie Mellon University, Pittsburgh, PA | + | * Siamak Barzegar, Barcelona Supercomputing Center, Spain |
| + | <!-- * Sai Bhaskar, Carnegie Mellon University, Pittsburgh, PA --> | ||
* Olivier Bodenreider, US National Library of Medicine | * Olivier Bodenreider, US National Library of Medicine | ||
* Leonardo Campillos Llanos, Universidad Autónoma de Madrid, Spain | * Leonardo Campillos Llanos, Universidad Autónoma de Madrid, Spain | ||
| − | * Juan Miguel Cejuela, tagtog, Munich, Bavaria, Germany | + | <!-- * Juan Miguel Cejuela, tagtog, Munich, Bavaria, Germany --> |
* Qingyu Chen, US National Library of Medicine | * Qingyu Chen, US National Library of Medicine | ||
* Fenia Christopoulou, National Centre for Text Mining and University of Manchester, UK | * Fenia Christopoulou, National Centre for Text Mining and University of Manchester, UK | ||
| Line 91: | Line 92: | ||
* Viviana Cotik, University of Buenos Aires, Argentina | * Viviana Cotik, University of Buenos Aires, Argentina | ||
* Dina Demner-Fushman, US National Library of Medicine | * Dina Demner-Fushman, US National Library of Medicine | ||
| − | + | <!-- * Graciela Gonzalez-Hernandez, University of Pennsylvania, USA --> | |
* Travis Goodwin, The University of Texas at Dallas, USA | * Travis Goodwin, The University of Texas at Dallas, USA | ||
* Natalia Grabar, CNRS, France | * Natalia Grabar, CNRS, France | ||
* Cyril Grouin, LIMSI - CNRS, France | * Cyril Grouin, LIMSI - CNRS, France | ||
* Tudor Groza, The Garvan Institute of Medical Research, Australia | * Tudor Groza, The Garvan Institute of Medical Research, Australia | ||
| − | + | <!-- * Ankita Gupta, Samsung Research, Bangalore, India --> | |
* Sadid Hasan, Philips Research, Cambridge, MA | * Sadid Hasan, Philips Research, Cambridge, MA | ||
* Antonio Jimeno Yepes, IBM, Melbourne Area, Australia | * Antonio Jimeno Yepes, IBM, Melbourne Area, Australia | ||
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* Halil Kilicoglu, US National Library of Medicine | * Halil Kilicoglu, US National Library of Medicine | ||
* Ari Klein, University of Pennsylvania, USA | * Ari Klein, University of Pennsylvania, USA | ||
| + | * Zfania Tom Korach, Harvard Medical School, USA | ||
* André Lamúrias, University of Lisbon, Portugal | * André Lamúrias, University of Lisbon, Portugal | ||
* Majid Latifi, Trinity College Dublin, Ireland | * Majid Latifi, Trinity College Dublin, Ireland | ||
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* Ramon Maldonado, The University of Texas at Dallas, USA | * Ramon Maldonado, The University of Texas at Dallas, USA | ||
* Timothy Miller, Children’s Hospital Boston, USA | * Timothy Miller, Children’s Hospital Boston, USA | ||
| − | * Roser Morante, VU University Amsterdam, Netherlands | + | <!-- * Roser Morante, VU University Amsterdam, Netherlands --> |
* Danielle L Mowery, VA Salt Lake City Health Care System, USA | * Danielle L Mowery, VA Salt Lake City Health Care System, USA | ||
* Yassine M'Rabet, US National Library of Medicine | * Yassine M'Rabet, US National Library of Medicine | ||
* Aurelie Neveol, LIMSI - CNRS, France | * Aurelie Neveol, LIMSI - CNRS, France | ||
| − | + | <!-- * Claire Nédellec, INRA, France --> | |
* Mariana Neves, German Federal Institute for Risk Assessment, Germany | * Mariana Neves, German Federal Institute for Risk Assessment, Germany | ||
* Denis Newman-Griffis, Clinical Center, National Institutes of Health, USA | * Denis Newman-Griffis, Clinical Center, National Institutes of Health, USA | ||
| Line 126: | Line 128: | ||
* Alastair Rae, US National Library of Medicine | * Alastair Rae, US National Library of Medicine | ||
* Francisco J. Ribadas-Pena, University of Vigo, Spain | * Francisco J. Ribadas-Pena, University of Vigo, Spain | ||
| − | * Fabio Rinaldi, University of Zurich, Switzerland | + | <!-- * Fabio Rinaldi, University of Zurich, Switzerland --> |
| − | * Angus Roberts, The University of Sheffield, UK | + | <!-- * Angus Roberts, The University of Sheffield, UK --> |
* Kirk Roberts, The University of Texas Health Science Center at Houston, USA | * Kirk Roberts, The University of Texas Health Science Center at Houston, USA | ||
* Roland Roller, DFKI GmbH, Berlin, Germany | * Roland Roller, DFKI GmbH, Berlin, Germany | ||
* Sumegh Roychowdhury, Indian Institute of Technology Kharagpur | * Sumegh Roychowdhury, Indian Institute of Technology Kharagpur | ||
| − | + | <!-- * Rashi Rungta, Carnegie Mellon University, Pittsburgh, PA --> | |
* Max Savery, US National Library of Medicine | * Max Savery, US National Library of Medicine | ||
| − | * Prakhar Sharma, Indian Institute of Technology, Kharagpur | + | <!-- * Prakhar Sharma, Indian Institute of Technology, Kharagpur --> |
* Chaitanya Shivade, IBM Research, Almaden, USA | * Chaitanya Shivade, IBM Research, Almaden, USA | ||
| + | * Diana Sousa, University of Lisbon, Portugal | ||
* Noha Seddik Tawfik, Arab Academy for Science and Technology, Egypt | * Noha Seddik Tawfik, Arab Academy for Science and Technology, Egypt | ||
* Thy Thy Tran, National Centre for Text Mining and University of Manchester, UK | * Thy Thy Tran, National Centre for Text Mining and University of Manchester, UK | ||
* Sumithra Velupillai, King’s College London, UK | * Sumithra Velupillai, King’s College London, UK | ||
| − | * Byron C. Wallace, University of Texas at Austin, USA | + | <!-- * Byron C. Wallace, University of Texas at Austin, USA --> |
* Davy Weissenbacher, University of Pennsylvania, USA | * Davy Weissenbacher, University of Pennsylvania, USA | ||
* W John Wilbur, US National Library of Medicine | * W John Wilbur, US National Library of Medicine | ||
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* Chrysoula Zerva, National Centre for Text Mining and University of Manchester, UK | * Chrysoula Zerva, National Centre for Text Mining and University of Manchester, UK | ||
* Ayah Zirikly, Clinical Center, National Institutes of Health, USA | * Ayah Zirikly, Clinical Center, National Institutes of Health, USA | ||
| + | * Seyedjamal Zolhavarieh, The University of Auckland, NZ | ||
* Pierre Zweigenbaum, LIMSI - CNRS, France | * Pierre Zweigenbaum, LIMSI - CNRS, France | ||
Revision as of 22:19, 31 May 2019
BIONLP 2019
Florence, Italy, Thursday, August 1, 2019
An ACL 2019 Workshop associated with the SIGBIOMED special interest group and featuring an associated task: MEDIQA 2019 ( https://sites.google.com/view/mediqa2019)
IMPORTANT DATES
- Submission deadline: Friday May 10, 2019 11:59 PM Eastern US
- Notification of acceptance: Friday, May 31, 2019
- Camera-ready copy due from authors: Friday, June 7, 2019 -- Firm deadline due to ACL schedule.
- Workshop: Thursday, August 1, 2019
WORKSHOP OVERVIEW AND SCOPE
The ACL BioNLP workshop associated with the SIGBIOMED special interest group has established itself as the primary venue for presenting foundational research in language processing for the biological and medical domains. The workshop serves as both a venue for bringing together researchers in bio- and clinical NLP and exposing these researchers to the mainstream ACL research, and a venue for informing the mainstream ACL researchers about the fast growing and important domain. The workshop will continue presenting work on a broad and interesting range of topics in NLP.
The active areas of research include, but are not limited to:
- Entity identification and normalization for a broad range of semantic categories
- Extraction of complex relations and events
- Semantic parsing
- Discourse analysis
- Anaphora /Coreference resolution
- Text mining
- Literature based discovery
- Summarization
- Question Answering
- Resources and novel strategies for system testing and evaluation
- Infrastructures for biomedical text mining
- Processing and annotation platforms
- Translating NLP research to practice
- Research Reproducibility
SUBMISSION INSTRUCTIONS
Three types of submissions are invited: full papers, short papers and MEDIQA shared task participants' reports.
Full papers should not exceed eight (8) pages of text, plus unlimited references. Final versions of full papers will be given one additional page of content (up to 9 pages) so that reviewers' comments can be taken into account. Full papers are intended to be reports of original research. BioNLP aims to be the forum for interesting, innovative, and promising work involving biomedicine and language technology, whether or not yielding high performance at the moment. This by no means precludes our interest in and preference for mature results, strong performance, and thorough evaluation. Both types of research and combinations thereof are encouraged.
Short papers may consist of up to four (4) pages of content, plus unlimited references. Upon acceptance, short papers will still be given up to five (5) content pages in the proceedings. Appropriate short paper topics include preliminary results, application notes, descriptions of work in progress, etc.
MEDIQA shared task participants reports should conform to the long paper submission guidelines.
Electronic Submission
Submissions must be electronic and in PDF format, using the Softconf START conference management system at https://www.softconf.com/acl2019/bionlp/ We strongly recommend consulting the ACL Policies for Submission, Review, and Citation: https://www.aclweb.org/portal/content/new-policies-submission-review-and-citation and using ACL LaTeX style files tailored for this year's conference. Submissions must conform to the official style guidelines. Please see information about paper formatting requirements and style at http://www.acl2019.org/EN/call-for-papers.xhtml. Scroll down to “Paper Submission and Templates.”
Submissions need to be anonymous.
Dual submission policy
Papers may NOT be submitted to the BioNLP 2019 workshop if they are or will be concurrently submitted to another meeting or publication.
MEDIQA 2019
A BioNLP-19 shared task on textual inference and question entailment
In 2019, the workshop will present the results of the shared task on biomedical textual inference and question entailment. See details at https://sites.google.com/view/mediqa2019
Program Committee
* Hadi Amiri, Harvard Medical School, USA * Sophia Ananiadou, National Centre for Text Mining and University of Manchester, UK * Emilia Apostolova, Language.ai, USA * Eiji Aramaki, University of Tokyo, Japan * Asma Ben Abacha, US National Library of Medicine * Cosmin (Adi) Bejan, Vanderbilt University, Nashville, TN * Siamak Barzegar, Barcelona Supercomputing Center, Spain * Olivier Bodenreider, US National Library of Medicine * Leonardo Campillos Llanos, Universidad Autónoma de Madrid, Spain * Qingyu Chen, US National Library of Medicine * Fenia Christopoulou, National Centre for Text Mining and University of Manchester, UK * Aaron Cohen, Oregon Health & Science University, USA * Kevin Bretonnel Cohen, University of Colorado School of Medicine, USA * Brian Connolly, Kroger Digital, USA * Viviana Cotik, University of Buenos Aires, Argentina * Dina Demner-Fushman, US National Library of Medicine * Travis Goodwin, The University of Texas at Dallas, USA * Natalia Grabar, CNRS, France * Cyril Grouin, LIMSI - CNRS, France * Tudor Groza, The Garvan Institute of Medical Research, Australia * Sadid Hasan, Philips Research, Cambridge, MA * Antonio Jimeno Yepes, IBM, Melbourne Area, Australia * Meizhi Ju, National Centre for Text Mining and University of Manchester, UK * Will Kearns, University of Washington, USA * Halil Kilicoglu, US National Library of Medicine * Ari Klein, University of Pennsylvania, USA * Zfania Tom Korach, Harvard Medical School, USA * André Lamúrias, University of Lisbon, Portugal * Majid Latifi, Trinity College Dublin, Ireland * Alberto Lavelli, FBK-ICT, Italy * Robert Leaman, US National Library of Medicine * Ulf Leser, Humboldt-Universität zu Berlin, Germany * Gal Levy-Fix, Columbia University, NY * Maolin Li, National Centre for Text Mining and University of Manchester, UK * Ramon Maldonado, The University of Texas at Dallas, USA * Timothy Miller, Children’s Hospital Boston, USA * Danielle L Mowery, VA Salt Lake City Health Care System, USA * Yassine M'Rabet, US National Library of Medicine * Aurelie Neveol, LIMSI - CNRS, France * Mariana Neves, German Federal Institute for Risk Assessment, Germany * Denis Newman-Griffis, Clinical Center, National Institutes of Health, USA * Nhung Nguyen, The University of Manchester, UK * Karen O'Connor, University of Pennsylvania, USA * Yifan Peng, US National Library of Medicine * Laura Plaza, UNED, Madrid, Spain * Sampo Pyysalo, University of Cambridge, UK * Alastair Rae, US National Library of Medicine * Francisco J. Ribadas-Pena, University of Vigo, Spain * Kirk Roberts, The University of Texas Health Science Center at Houston, USA * Roland Roller, DFKI GmbH, Berlin, Germany * Sumegh Roychowdhury, Indian Institute of Technology Kharagpur * Max Savery, US National Library of Medicine * Chaitanya Shivade, IBM Research, Almaden, USA * Diana Sousa, University of Lisbon, Portugal * Noha Seddik Tawfik, Arab Academy for Science and Technology, Egypt * Thy Thy Tran, National Centre for Text Mining and University of Manchester, UK * Sumithra Velupillai, King’s College London, UK * Davy Weissenbacher, University of Pennsylvania, USA * W John Wilbur, US National Library of Medicine * Shankai Yan, US National Library of Medicine * Amir Yazdavar, Wright State University, USA * Chrysoula Zerva, National Centre for Text Mining and University of Manchester, UK * Ayah Zirikly, Clinical Center, National Institutes of Health, USA * Seyedjamal Zolhavarieh, The University of Auckland, NZ * Pierre Zweigenbaum, LIMSI - CNRS, France
Organizers
Kevin Bretonnel Cohen, University of Colorado School of Medicine Dina Demner-Fushman, US National Library of Medicine Sophia Ananiadou, National Centre for Text Mining and University of Manchester, UK Jun-ichi Tsujii, National Institute of Advanced Industrial Science and Technology, Japan and University of Manchester, UK