BioNLP 2023
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
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.
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 * Olivier Bodenreider, US National Library of Medicine * Leonardo Campillos Llanos, LIMSI - CNRS, France * 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 * Filip Ginter, University of Turku, Finland * Cyril Grouin, LIMSI - CNRS, France * Tudor Groza, The Garvan Institute of Medical Research, Australia * Graciela Gonzalez, University of Pennsylvania, USA * Travis Goodwin, The University of Texas at Dallas, USA * Sadid Hasan, Philips Research, Cambridge, MA * Antonio Jimeno Yepes, IBM, Melbourne Area, Australia * Halil Kilicoglu, US National Library of Medicine * Alberto Lavelli , FBK- ICT, Italy * Robert Leaman, US National Library of Medicine * Ulf Leser, Humboldt-Universität zu Berlin, Germany * Zhiyong Lu, US National Library of Medicine * Timothy Miller, Children’s Hospital Boston, USA * Makoto Miwa, Toyota Technological Institute, Japan * Danielle L Mowery, VA Salt Lake City Health Care System, USA * Yassine M'Rabet, US National Library of Medicine * Aurelie Neveol, LIMSI - CNRS, France * Claire Nédellec, INRA, France * Mariana Neves, German Federal Institute for Risk Assessment, Germany * Nhung Nguyen, The University of Manchester, UK * Laura Plaza, UNED, Madrid, Spain * Sampo Pyysalo, University of Cambridge, UK * Francisco J. Ribadas-Pena, University of Vigo, Spain * Fabio Rinaldi, University of Zurich, Switzerland * Kirk Roberts, The University of Texas Health Science Center at Houston, USA * Angus Roberts, The University of Sheffield, UK * Hagit Shatkay, University of Delaware, USA * Byron C. Wallace, University of Texas at Austin, USA * 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