Difference between revisions of "BioNLP 2023"
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− | + | <!-- * Danielle L Mowery, VA Salt Lake City Health Care System, USA --> | |
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− | + | <!-- * Bastien Rance, European Hospital Georges Pompidou, France --> | |
* 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 |
Revision as of 06:10, 28 April 2020
BIONLP 2020
Seattle, Washington, July 9, 2020 -- Online
An ACL 2020 Workshop associated with the SIGBIOMED special interest group
IMPORTANT DATES
- Submission deadline:
Friday, March 20, 2020New: Friday, April, 3, 2020, 11:59 PM Eastern US
https://www.softconf.com/acl2020/BioNLP2020/
- Notification of acceptance:
Friday, April 24, 2020New: Tuesday, April 28, 2020 - Camera-ready copy due from authors:
'Sunday, May 3, 2020New: Wednesday, May 6, 2020 - Workshop: July 9, 2020
Program Committee
* 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 * 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 * Manirupa Das, Amazon Search, Seattle, WA, USA * Dina Demner-Fushman, US National Library of Medicine * Bart Desmet, Clinical Center, National Institutes of Health, USA * 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 * Antonio Jimeno Yepes, IBM, Melbourne Area, Australia * Will Kearns, University of Washington, USA * Halil Kilicoglu, University of Illinois at Urbana-Champaign, USA * Ari Klein, University of Pennsylvania, 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 * Maolin Li, National Centre for Text Mining and University of Manchester, UK * Zhiyong Lu, US National Library of Medicine * Timothy Miller, Children’s Hospital Boston, USA * Aurelie Neveol, LIMSI - CNRS, France * Claire Nédellec, INRA, 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 * Naoaki Okazaki, Tokyo Institute of Technology, Japan * Yifan Peng, US National Library of Medicine * Laura Plaza, UNED, Madrid, Spain * Francisco J. Ribadas-Pena, University of Vigo, Spain * Angus Roberts, The University of Sheffield, UK * Kirk Roberts, The University of Texas Health Science Center at Houston, USA * Roland Roller, DFKI GmbH, Berlin, Germany * Diana Sousa, University of Lisbon, Portugal * Karin Verspoor, The University of Melbourne, Australia * Davy Weissenbacher, University of Pennsylvania, USA * W John Wilbur, US National Library of Medicine * Shankai Yan, US National Library of Medicine * Chrysoula Zerva, National Centre for Text Mining and University of Manchester, UK * Ayah Zirikly, Clinical Center, National Institutes of Health, USA * Pierre Zweigenbaum, LIMSI - CNRS, France
Organizers
Dina Demner-Fushman, US National Library of Medicine Kevin Bretonnel Cohen, University of Colorado School 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
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 (linking) for a broad range of semantic categories
- Extraction of complex relations and events
- 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
- Explainable models for biomedical NLP
- Multi-modal models for biomedical NLP
- Getting reproducible results
- BioNLP research in languages other than English
SUBMISSION INSTRUCTIONS
Two types of submissions are invited: full papers and short papers.
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.
Please see https://acl2020.org/calls/papers/ for templates.
Dual submission policy
Papers may NOT be submitted to the BioNLP 2020 workshop if they are or will be concurrently submitted to another meeting or publication.