BioNLP 2023

From ACL Wiki
Jump to navigation Jump to search

SIGBIOMED

BIONLP 2018

An ACL 2018 Workshop associated with the SIGBIOMED special interest group, Melbourne, Australia, Thursday July 19, 2018


IMPORTANT DATES

  • Submission deadline: Monday April 16, 2018 11:59 PM Eastern US
  • Notification of acceptance: Monday May 21, 2018
  • Camera-ready copy due from authors: Monday May 28, 2018
  • Workshop: Thursday July 19, 2018

SUBMISSION INSTRUCTIONS

Two types of submissions are invited: full papers and short papers. Submissions are due by 11:59 PM EST on Monday April 16, 2018.

Full papers should not exceed eight (8) pages of text, plus unlimited references. These 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 four (4) 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/acl2018/BioNLP/

We strongly recommend consulting ACL new 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. Style files and other information about paper formatting requirements are available on the conference website, http://acl2018.org/call-for-papers/. Scroll down to “Paper Submission and Templates.”

Submissions need to be anonymous.

Dual submission policy: papers may NOT be submitted to the BioNLP 2018 workshop if they are or will be concurrently submitted to another meeting or publication.

KEYNOTE

Keynote presentation by Dr. Paul Glasziou [1]


WORKSHOP OVERVIEW AND SCOPE

Over the course of the past sixteen years, 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. This year we are expanding our interests, and in addition to the topics listed below, we welcome submissions on the lessons learned while reproducing published results.

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
  • Theoretical underpinnings of biomedical language processing
  • Research Reproducibility

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