The BioNLP 2020 workshop at ACL 2020 is a venue for presenting research in language processing for the biological and medical domains. The workshop brings together researchers in bio- and clinical NLP and exposes these researchers to the mainstream ACL research, as well as informs the mainstream ACL researchers about the fast-growing and important domain. The workshop will continue presenting work on a broad range of topics in NLP listed below. BioNLP aims to be the forum for interesting, innovative, and promising work involving biomedicine and language technology, whether or not yielding high performance now. 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.
IMPORTANT DATES
• Submission deadline: Friday April 3, 2020 11:59 PM Eastern US
• Notification of acceptance: Tuesday, April 28, 2020
• Camera-ready copy due from authors: Thursday, May 14, 2020
• Virtual Workshop: July 9, 2020
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.
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.
Submissions need to be anonymous.
Dual submission policy: papers may NOT be submitted to the BioNLP workshop if they are or will be concurrently submitted to another meeting or publication.
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
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