Difference between revisions of "BioNLP 2023"

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[[SIGBIOMED]]
 
[[SIGBIOMED]]
  
==BIONLP 2015 Workshop Schedule==
+
 
 +
==BIONLP 2016 ==
 +
 
 +
An ACL 2016 Workshop associated with the [[SIGBIOMED]] special interest group Featuring two associated tasks: [http://www.bioasq.org/workshop/  BioASQ] (http://www.bioasq.org/workshop) and [http://2016.bionlp-st.org/  BioNLP-ST]  (http://2016.bionlp-st.org).
 +
 
 +
Berlin, Germany, August 12 -13, 2016
 +
 
 +
===IMPORTANT DATES===
 +
 
 +
* Submission deadline: Sunday, May 8, 2016, 11:59 PM Eastern US
 +
* Notification of acceptance: Monday, June 13, 2016
 +
* Camera-ready copy due from authors:  Wednesday, June 22, 2016
 +
* BioNLP workshop: Friday, August 12, 2016
 +
* BioNLP-ST and BioASQ workshop: Saturday August 13, 2016
 +
 
 +
 
 +
===WORKSHOP OVERVIEW AND SCOPE===
 +
 
 +
Over the course of the past fourteen 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. 
 +
 
 +
The active areas of research include:
 +
 
 +
* 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
 +
 
 +
<h5>SUBMISSION INSTRUCTIONS</h5>
 +
We invite two types of submissions: full papers and short papers.
 +
Submissions are due by 11:59 PM EST on Sunday May 8, 2016.
 +
 
 +
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.
 +
Appropriate short paper topics include preliminary results, application notes, descriptions of work in progress, etc.
 +
 
 +
<h6>Electronic Submission</h6>
 +
Submissions must be electronic and in PDF format, using the Softconf START conference management system at [https://www.softconf.com/acl2016/BioNLP16/ https://www.softconf.com/acl2016/BioNLP16/]
 +
We strongly recommend the use of 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 will be made available on the conference website,[http://acl2016.org http://acl2016.org].
 +
 
 +
<b>Submissions should be anonymous. </b>
 +
Dual submission policy: papers may <b>NOT</b> be submitted to  the BioNLP 2016 workshop if they are or will be concurrently submitted to another meeting or publication.
 +
 +
<h5>Tentative Program Committee:</h5>
 +
 
 +
* Emilia Apostolova, DePaul University, Chicago, USA
 +
* Eiji Aramaki, University of Tokyo, Japan
 +
* Asma Ben Abacha, National Library of Medicine, USA
 +
* Sabine Bergler, Concordia University, Canada
 +
* Olivier Bodenreider, National Library of Medicine, USA
 +
* Aaron Cohen, Oregon Health and Science University, USA
 +
* Nigel Collier, University of Cambridge, UK
 +
<!-- * Noémie Elhadad, Columbia University, USA -->
 +
* Marcelo Fiszman, National Library of Medicine, USA
 +
* Filip Ginter, University of Turku, Finland
 +
* Cyril Grouin, LIMSI - CNRS, France
 +
* Antonio Jimeno Yepes, IBM, Melbourne Area, Australia
 +
* Halil Kilicoglu, National Library of Medicine, USA
 +
* Jin-Dong Kim, Database Center for Life Science, Japan
 +
* Robert Leaman, National Library of Medicine, USA
 +
* Ulf Leser, Humboldt-Universität zu Berlin, Germany
 +
* Zhiyong Lu, National Library of Medicine, USA
 +
* Timothy Miller, Children's Hospital Boston, USA
 +
* Makoto Miwa, Toyota Technological Institute, Japan
 +
* Danielle Mowery, University of Utah, USA
 +
* Yassine M'Rabet, National Library of Medicine, USA
 +
* Aurelie Neveol, LIMSI - CNRS, France
 +
* Nhung Nguyen, University of Manchester, UK
 +
* Naoaki Okazaki, Tohoku University, Japan
 +
* Jong Park, KAIST, Republic of Korea
 +
* Sampo Pyysalo, University of Cambridge, UK
 +
* Bastien Rance, Hopital Europeen Georges Pompidou, France
 +
* Fabio Rinaldi, University of Zurich, Switzerland
 +
* Thomas Rindflesch, National Library of Medicine
 +
* Angus Roberts, University of Sheffield, UK
 +
* Kirk Roberts, National Library of Medicine, USA
 +
* Yoshimasa Tsuruoka, University of Tokyo, Japan
 +
* Karin Verspoor, The University of Melbourne, Australia
 +
* Byron Wallace,  University of Texas at Austin, USA
 +
* John Wilbur, National Library of Medicine, USA
 +
* Pierre Zweigenbaum,  LIMSI - CNRS, France
 +
 
 +
<h5>Organizers</h5>
 +
  * 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
 +
 
 +
 
 +
<h5>Two tasks will be associated with the workshop this year:</h5>
 +
 +
The <b>BioNLP Shared Task (BioNLP-ST)</b> has been organized three times so far, leading to the development of information extraction systems for molecular biology and medicine in 2009, 2011 and 2013. One of the major contributions of BioNLP-ST is the availability of resources such as high quality manually curated corpora, tools, and evaluation services.
 +
 +
<h5>Shared Task Organizers:</h5>
 +
 
 +
* Jin-Dong Kim, Database Center for Life Science (DBCLS), Japan
 +
* Claire Nedellec, INRA, France
 +
* Robert Bossy, INRA, France
 +
 
 +
 +
The second equally successful shared task, the <b>BioASQ challenge</b> on large-scale biomedical semantic indexing and question answering has been running on an annual basis since 2012. The results of the challenge were presented in a workshop, which has so far been taking place in conjunction with the CLEF conference and was extremely well-attended.
 +
 +
BioASQ assesses the performance of information systems in supporting two tasks that are central in the biomedical question answering process: (a) the indexing of large volumes of unlabeled data, primarily scientific articles, with biomedical concepts, (b) the processing of biomedical questions and the generation of answers and supporting material.  BioASQ has been making publicly available the following benchmark data and tools: more than 1300 questions and related answers, as well as online "oracle" for objective evaluation of any system throughout the year, not only during the challenge.
 +
 +
<h5>BioASQ Organizers:</h5>
 +
 +
* Georgios Paliouras NCSR "Demokritos", Greece and University of Houston, USA
 +
* Ioannis Kakadiaris University of Houston, USA
 +
* Anastasia Krithara, NCSR "Demokritos", Greece
 +
 +
 
 +
<!-- ==BIONLP 2015 Workshop Schedule==
 
    
 
    
 
<table cellspacing="0" cellpadding="5" border="0">
 
<table cellspacing="0" cellpadding="5" border="0">
Line 10: Line 136:
 
<tr><td valign=top>8:40&#8211;9:00</td><td>Making the most of limited training data using distant supervision<br><em>Roland Roller and Mark Stevenson</em><br>University of Sheffield</td></tr>
 
<tr><td valign=top>8:40&#8211;9:00</td><td>Making the most of limited training data using distant supervision<br><em>Roland Roller and Mark Stevenson</em><br>University of Sheffield</td></tr>
 
<tr><td valign=top>9:00&#8211;9:20</td><td>An extended dependency graph for relation extraction in biomedical texts<br><em>Yifan Peng<sup>1</sup>,&nbsp;Samir Gupta<sup>2</sup>,&nbsp;Cathy Wu<sup>2</sup>,&nbsp;Vijay Shanker<sup>2</sup></em><br><sup>1</sup>Computer and Information Sciences,  University of Delaware,&nbsp;<sup>2</sup>University of Delaware</td></tr>
 
<tr><td valign=top>9:00&#8211;9:20</td><td>An extended dependency graph for relation extraction in biomedical texts<br><em>Yifan Peng<sup>1</sup>,&nbsp;Samir Gupta<sup>2</sup>,&nbsp;Cathy Wu<sup>2</sup>,&nbsp;Vijay Shanker<sup>2</sup></em><br><sup>1</sup>Computer and Information Sciences,  University of Delaware,&nbsp;<sup>2</sup>University of Delaware</td></tr>
<tr><td valign=top>9:20&#8211;9:40</td><td>Event Extraction in pieces:Tackling the partial event identification problem on unseen corpora<br<em>Chrysoula Zerva and Sophia Ananiadou</em><br>University of Manchester</td></tr>
+
<tr><td valign=top>9:20&#8211;9:40</td><td>Event Extraction in pieces:Tackling the partial event identification problem on unseen corpora<br><em>Chrysoula Zerva and Sophia Ananiadou</em><br>University of Manchester</td></tr>
 
<tr><td valign=top>9:40&#8211;10:00</td><td>Extracting Biological Pathway Models From NLP Event Representations<br><em>Michael Spranger<sup>1</sup>,&nbsp;Sucheendra Palaniappan<sup>2</sup>,&nbsp;Samik Ghosh<sup>3</sup></em><br><sup>1</sup>Sony Computer Science Laboratories Inc., <sup>2</sup>INRIA, Campus de Beaulieu, Rennes, France, <sup>3</sup>The Systems Biology Institute, Minato-ku, Tokyo, Japan</td></tr>
 
<tr><td valign=top>9:40&#8211;10:00</td><td>Extracting Biological Pathway Models From NLP Event Representations<br><em>Michael Spranger<sup>1</sup>,&nbsp;Sucheendra Palaniappan<sup>2</sup>,&nbsp;Samik Ghosh<sup>3</sup></em><br><sup>1</sup>Sony Computer Science Laboratories Inc., <sup>2</sup>INRIA, Campus de Beaulieu, Rennes, France, <sup>3</sup>The Systems Biology Institute, Minato-ku, Tokyo, Japan</td></tr>
<tr><td valign=top>10:00&#8211;10:20</td><td>Extracting Disease-Symptom Relationships by Learning Syntactic Patterns from Dependency Graphs<br><em>Mohsen Hassan<sup>1</sup>,&nbsp;Olfa Makkaoui<sup>2</sup>,&nbsp;Adrien Coulet<sup>1</sup>,&nbsp;Yannick Toussain<sup>1</sup></em><br><sup>1</sup>LORIA (CNRS, Inria NGE, Universit&eacute;  de Lorraine), <sup>2</sup>LORIA (Inria NGE)</td></tr>
+
<tr><td valign=top>10:00&#8211;10:20</td><td>Shallow Training is cheap but is it good enough? Experiments with Medical Fact Coding<br><em>Ramesh Nallapati and Radu Florian</em><br>IBM T. J. Watson Research Center</td></tr>
 
<tr><td valign=top>10:30&#8211;11:00</td><td valign=top><b>Coffee Break</b></td></tr>
 
<tr><td valign=top>10:30&#8211;11:00</td><td valign=top><b>Coffee Break</b></td></tr>
 
<tr><td valign=top>11:00&#8211;11:45</td><td valign=top><b><font face="verdana" color="#000080"> Keynote: "Machine Reading: Attempting to model and understand biological processes" - Christopher Manning</font></b></td></tr>
 
<tr><td valign=top>11:00&#8211;11:45</td><td valign=top><b><font face="verdana" color="#000080"> Keynote: "Machine Reading: Attempting to model and understand biological processes" - Christopher Manning</font></b></td></tr>
Line 22: Line 148:
 
<tr><td valign=top>&nbsp;</td><td valign=top><b>Session 2: Clinical text processing</b></td></tr>
 
<tr><td valign=top>&nbsp;</td><td valign=top><b>Session 2: Clinical text processing</b></td></tr>
 
<tr><td valign=top>16:00&#8211;16:20</td><td>Stacked Generalization for Medical Concept Extraction from Clinical Notes<br><em>Youngjun Kim and Ellen Riloff</em><br>University of Utah</td></tr>
 
<tr><td valign=top>16:00&#8211;16:20</td><td>Stacked Generalization for Medical Concept Extraction from Clinical Notes<br><em>Youngjun Kim and Ellen Riloff</em><br>University of Utah</td></tr>
<tr><td valign=top>16:20&#8211;16:40</td><td>Shallow Training is cheap but is it good enough? Experiments with Medical Fact Coding<br><em>Ramesh Nallapati and Radu Florian</em><br>IBM T. J. Watson Research Center</td></tr>
+
<tr><td valign=top>16:20&#8211;16:40</td><td>Extracting Disease-Symptom Relationships by Learning Syntactic Patterns from Dependency Graphs<br><em>Mohsen Hassan<sup>1</sup>,&nbsp;Olfa Makkaoui<sup>2</sup>,&nbsp;Adrien Coulet<sup>1</sup>,&nbsp;Yannick Toussain<sup>1</sup></em><br><sup>1</sup>LORIA (CNRS, Inria NGE, Universit&eacute;  de Lorraine), <sup>2</sup>LORIA (Inria NGE)</td></tr>
 
<tr><td valign=top>16:40&#8211;17:00</td><td>Extracting Time Expressions from Clinical Text<br><em>Timothy Miller<sup>1</sup>,&nbsp;Steven Bethard<sup>2</sup>,&nbsp;Dmitriy Dligach<sup>1</sup>,&nbsp;Chen Lin<sup>3</sup>,&nbsp;Guergana Savova<sup>4</sup></em><br><sup>1</sup>Boston Children's Hospital and Harvard Medical School, <sup>2</sup>University of Alabama at Birmingham, <sup>3</sup>Boston Children's Hospital, <sup>4</sup>Harvard</td></tr>
 
<tr><td valign=top>16:40&#8211;17:00</td><td>Extracting Time Expressions from Clinical Text<br><em>Timothy Miller<sup>1</sup>,&nbsp;Steven Bethard<sup>2</sup>,&nbsp;Dmitriy Dligach<sup>1</sup>,&nbsp;Chen Lin<sup>3</sup>,&nbsp;Guergana Savova<sup>4</sup></em><br><sup>1</sup>Boston Children's Hospital and Harvard Medical School, <sup>2</sup>University of Alabama at Birmingham, <sup>3</sup>Boston Children's Hospital, <sup>4</sup>Harvard</td></tr>
 
<tr><td valign=top>17:00&#8211;17:20</td><td>Exploiting Task-Oriented Resources to Learn Word Embeddings for Clinical Abbreviation Expansion<br><em>Yue Liu<sup>1</sup>,&nbsp;Tao Ge<sup>2</sup>,&nbsp;Kusum Mathews<sup>3</sup>,&nbsp;Heng Ji<sup>1</sup>,&nbsp;Deborah McGuinness<sup>1</sup></em><br><sup>1</sup>Rensselaer Polytechnic Institute, <sup>2</sup>Key Laboratory of Computational Linguistics, Peking University, <sup>3</sup>Departments of Medicine and Emergency Medicine, Icahn School of Medicine at Mount Sinai</td></tr>
 
<tr><td valign=top>17:00&#8211;17:20</td><td>Exploiting Task-Oriented Resources to Learn Word Embeddings for Clinical Abbreviation Expansion<br><em>Yue Liu<sup>1</sup>,&nbsp;Tao Ge<sup>2</sup>,&nbsp;Kusum Mathews<sup>3</sup>,&nbsp;Heng Ji<sup>1</sup>,&nbsp;Deborah McGuinness<sup>1</sup></em><br><sup>1</sup>Rensselaer Polytechnic Institute, <sup>2</sup>Key Laboratory of Computational Linguistics, Peking University, <sup>3</sup>Departments of Medicine and Emergency Medicine, Icahn School of Medicine at Mount Sinai</td></tr>
Line 86: Line 212:
 
Submissions should be anonymous.
 
Submissions should be anonymous.
  
<h5>Program committee:</h5>
+
-->
 
 
* Emilia Apostolova, DePaul University, Chicago, USA
 
* Eiji Aramaki, University of Tokyo
 
<!-- * Alan Aronson, National Library of Medicine-->
 
* Sabine Bergler, Concordia University, Canada
 
* Olivier Bodenreider, National Library of Medicine
 
* Aaron Cohen, Oregon Health and Science University
 
<!-- * Nigel Collier, EBI, the National Institute of Informatics -->
 
<!-- * Noémie Elhadad, Columbia University -->
 
* Marcelo Fiszman, National Library of Medicine
 
* Filip Ginter, University of Turku
 
<!--* Graciela Gonzalez, Arizona State University -->
 
* Cyril Grouin, LIMSI - CNRS, France
 
* Antonio Jimeno Yepes, IBM, Melbourne Area, Australia
 
* Halil Kilicoglu, National Library of Medicine
 
* Jin-Dong Kim, Database Center for Life Science, Japan
 
<!-- * Alexander Koller, University of Potsdam -->
 
* Robert Leaman, National Library of Medicine
 
* Zhiyong Lu, National Library of Medicine
 
* Timothy Miller, Children's Hospital Boston
 
* Makoto Miwa, Toyota Technological Institute, Japan
 
* Aurelie Neveol, LIMSI - CNRS, France
 
* Naoaki Okazaki, Tohoku University
 
* Jong Park, KAIST
 
<!-- * Sampo Pyysalo, University of Turku -->
 
<!-- * Bastien Rance, Hopital Europeen Georges Pompidou -->
 
* Thomas Rindflesch, National Library of Medicine
 
* Kirk Roberts, National Library of Medicine
 
* Andrey Rzhetsky, University of Chicago
 
* Yoshimasa Tsuruoka, University of Tokyo, Japan
 
* Karin Verspoor, The University of Melbourne, Australia
 
* John Wilbur, National Library of Medicine
 
* Pierre Zweigenbaum,  LIMSI - CNRS, France
 
 
 
<h5>Organizers</h5>
 
  * 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
 
 
 
 
<!--
 
<!--
 
==BIONLP 2014 Workshop Schedule==
 
==BIONLP 2014 Workshop Schedule==

Revision as of 20:27, 16 May 2016

SIGBIOMED


BIONLP 2016

An ACL 2016 Workshop associated with the SIGBIOMED special interest group Featuring two associated tasks: BioASQ (http://www.bioasq.org/workshop) and BioNLP-ST (http://2016.bionlp-st.org).

Berlin, Germany, August 12 -13, 2016

IMPORTANT DATES

  • Submission deadline: Sunday, May 8, 2016, 11:59 PM Eastern US
  • Notification of acceptance: Monday, June 13, 2016
  • Camera-ready copy due from authors: Wednesday, June 22, 2016
  • BioNLP workshop: Friday, August 12, 2016
  • BioNLP-ST and BioASQ workshop: Saturday August 13, 2016


WORKSHOP OVERVIEW AND SCOPE

Over the course of the past fourteen 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.

The active areas of research include:

  • 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
SUBMISSION INSTRUCTIONS

We invite two types of submissions: full papers and short papers. Submissions are due by 11:59 PM EST on Sunday May 8, 2016.

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. 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/acl2016/BioNLP16/ We strongly recommend the use of 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 will be made available on the conference website,http://acl2016.org.

Submissions should be anonymous. Dual submission policy: papers may NOT be submitted to the BioNLP 2016 workshop if they are or will be concurrently submitted to another meeting or publication.

Tentative Program Committee:
  • Emilia Apostolova, DePaul University, Chicago, USA
  • Eiji Aramaki, University of Tokyo, Japan
  • Asma Ben Abacha, National Library of Medicine, USA
  • Sabine Bergler, Concordia University, Canada
  • Olivier Bodenreider, National Library of Medicine, USA
  • Aaron Cohen, Oregon Health and Science University, USA
  • Nigel Collier, University of Cambridge, UK
  • Marcelo Fiszman, National Library of Medicine, USA
  • Filip Ginter, University of Turku, Finland
  • Cyril Grouin, LIMSI - CNRS, France
  • Antonio Jimeno Yepes, IBM, Melbourne Area, Australia
  • Halil Kilicoglu, National Library of Medicine, USA
  • Jin-Dong Kim, Database Center for Life Science, Japan
  • Robert Leaman, National Library of Medicine, USA
  • Ulf Leser, Humboldt-Universität zu Berlin, Germany
  • Zhiyong Lu, National Library of Medicine, USA
  • Timothy Miller, Children's Hospital Boston, USA
  • Makoto Miwa, Toyota Technological Institute, Japan
  • Danielle Mowery, University of Utah, USA
  • Yassine M'Rabet, National Library of Medicine, USA
  • Aurelie Neveol, LIMSI - CNRS, France
  • Nhung Nguyen, University of Manchester, UK
  • Naoaki Okazaki, Tohoku University, Japan
  • Jong Park, KAIST, Republic of Korea
  • Sampo Pyysalo, University of Cambridge, UK
  • Bastien Rance, Hopital Europeen Georges Pompidou, France
  • Fabio Rinaldi, University of Zurich, Switzerland
  • Thomas Rindflesch, National Library of Medicine
  • Angus Roberts, University of Sheffield, UK
  • Kirk Roberts, National Library of Medicine, USA
  • Yoshimasa Tsuruoka, University of Tokyo, Japan
  • Karin Verspoor, The University of Melbourne, Australia
  • Byron Wallace, University of Texas at Austin, USA
  • John Wilbur, National Library of Medicine, 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 


Two tasks will be associated with the workshop this year:

The BioNLP Shared Task (BioNLP-ST) has been organized three times so far, leading to the development of information extraction systems for molecular biology and medicine in 2009, 2011 and 2013. One of the major contributions of BioNLP-ST is the availability of resources such as high quality manually curated corpora, tools, and evaluation services.

Shared Task Organizers:
  • Jin-Dong Kim, Database Center for Life Science (DBCLS), Japan
  • Claire Nedellec, INRA, France
  • Robert Bossy, INRA, France


The second equally successful shared task, the BioASQ challenge on large-scale biomedical semantic indexing and question answering has been running on an annual basis since 2012. The results of the challenge were presented in a workshop, which has so far been taking place in conjunction with the CLEF conference and was extremely well-attended.

BioASQ assesses the performance of information systems in supporting two tasks that are central in the biomedical question answering process: (a) the indexing of large volumes of unlabeled data, primarily scientific articles, with biomedical concepts, (b) the processing of biomedical questions and the generation of answers and supporting material. BioASQ has been making publicly available the following benchmark data and tools: more than 1300 questions and related answers, as well as online "oracle" for objective evaluation of any system throughout the year, not only during the challenge.

BioASQ Organizers:
  • Georgios Paliouras NCSR "Demokritos", Greece and University of Houston, USA
  • Ioannis Kakadiaris University of Houston, USA
  • Anastasia Krithara, NCSR "Demokritos", Greece