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 (Tentative)
- Submission deadline: Friday April 26, 2019 11:59 PM Eastern US
- Notification of acceptance: Friday, May 24, 2019
- Camera-ready copy due from authors: Monday, June 3, 2019
- 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
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:
* 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 * 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 * Antonio Jimeno Yepes, IBM, Melbourne Area, Australia * Halil Kilicoglu, US National Library of Medicine * 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, Hasso Plattner Institute and University of Potsdam, Germany * Nhung Nguyen, The University of Manchester, UK * Naoaki Okazaki, Tohoku University, Japan * 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 * Pontus Stenetorp, University College London, UK * Karin Verspoor, The University of Melbourne, Australia * Byron C. Wallace, University of Texas at Austin, USA * Jingbo Xia, Huazhong Agricultural University, China * 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