BioNLP 2023
BIONLP 2021 @ NAACL 2021
IMPORTANT DATES
- Submission deadline: March 20, 2021 11:59 PM Eastern US https://www.softconf.com/naacl2021/bionlp21/
- Notification of acceptance: April 15, 2021
- Camera-ready copy due from authors: April 26, 2021 (HARD DEADLINE)
- Workshop: June 11, 2021
MEDIQA 2021 The second edition of the MEDIQA challenge collocated with the BioNLP 2021Workshop focuses on summarization in the medical domain with three tasks:
- Consumer health question summarization
- Multi-answer summarization
- Radiology report summarization
Please check the website for details on the tasks, datasets, and submission guidelines: https://sites.google.com/view/mediqa2021
Submission Types & Requirements
Following the previous conferences, BioNLP 2021 will be open for two types of submissions: long and short papers. For the shared task, please select the "long - shared task" submission type. Please use tNAACL instructions and templates: https://2021.naacl.org/calls/style-and-formatting/ The submission site is now available at https://www.softconf.com/naacl2021/bionlp21/
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 * Steven Bethard, University of Arizona, USA * 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 * Kevin Bretonnel Cohen, University of Colorado School of Medicine, USA * Brian Connolly, Kroger Digital, 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 * William Kearns, UW Medicine, USA * Halil Kilicoglu, University of Illinois at Urbana-Champaign, USA * Ari Klein, University of Pennsylvania, USA * André Lamúrias, University of Lisbon, Portugal * Alberto Lavelli, FBK-ICT, Italy * Robert Leaman, US National Library of Medicine * Ulf Leser, Humboldt-Universität zu Berlin, Germany * 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 * Yifan Peng, Cornell Medical School, USA * Laura Plaza, UNED, Madrid, Spain * Francisco J. Ribadas-Pena, University of Vigo, Spain * Fabio Rinaldi, University of Zurich, Switzerland * 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
* Asma Ben Abacha, NLM/NIH * Yi Cai, Chic Health, Shanghai, China * Duy-Cat Can, University of Engineering and Technology, Vietnam * Songtai Dai, Baidu, Inc, Beijing, China * Deepak Gupta, NLM/NIH * Yifan He, Alibaba Group, Sunnyvale, CA * Abdullah Faiz Ur Rahman Khilji, National Institute of Technology Silchar, Mumbai, India * Ravi Kondadadi, Optum * Curtis Langlotz, Stanford University * Jooyeon Lee, George Mason University, Fairfax, VA * Lung-Hao Lee, National Central University, Taiwan * Khalil Mrini, University of California, San Diego * Spandana Balumuri, National Institute of Technology Karnataka, Surathkal, India * Mario Sänger, Humboldt-Universität zu Berlin * Wei Zhu, East China Normal University, Shanghai
WORKSHOP OVERVIEW AND SCOPE
The BioNLP workshop associated with the ACL SIGBIOMED special interest group has established itself as the primary venue for presenting foundational research in language processing for the biological and medical domains. Despite, or maybe due to reaching maturity, the field of Biomedical NLP continues getting stronger. BioNLP welcomes and encourages inclusion and diversity. BioNLP truly encompasses the breadth of the domain and brings together researchers in bio- and clinical NLP from all over the world. 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
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
Dual submission policy
Papers may NOT be submitted to the BioNLP 2021 workshop if they are or will be concurrently submitted to another meeting or publication.