BioNLP 2023

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

• BioNLP workshop: Friday, August 12, 2016
• BioNLP-ST and BioASQ workshop: Saturday August 13, 2016

BIONLP 2016 Workshop Schedule

Friday August 12, 2016
8:30–8:40	Opening remarks
8:40–10:30	Session 1: Entity extraction and representation
8:40–9:00	A Machine Learning Approach to Clinical Terms Normalization Jose Castano, María Laura Gambarte, Hee Joon Park, Maria del Pilar Avila Williams, David Perez, Fernando Campos, Daniel Luna, Sonia Benitez, Hernan Berinsky and Sofía Zanetti
9:00–9:20	Improved Semantic Representation for Domain-Specific Entities Mohammad Taher Pilehvar and Nigel Collier
9:20–9:40	Identification, characterization, and grounding of gradable terms in clinical text Chaitanya Shivade, Marie-Catherine de Marneffe, Eric Fosler-Lussier and Albert M. Lai
9:40–10:00	Graph-based Semi-supervised Gene Mention Tagging Golnar Sheikhshab, Elizabeth Starks, Aly Karsan, Anoop Sarkar and Inanc Birol
10:00–10:30	Invited Talk: The BioNLP-ST challenges on information extraction and knowledge acquisition in biology Speakers: Robert Bossy and Jin-Dong Kim
10:30–11:00	Coffee Break
11:00–12:30	Session 2: Event and Relation Extraction
11:00–11:20	Feature Derivation for Exploitation of Distant Annotation via Pattern Induction against Dependency Parses Dayne Freitag and John Niekrasz
11:40–12:00	Inferring Implicit Causal Relationships in Biomedical Literature Halil Kilicoglu
12:00–12:20	SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction Marco A. Valenzuela-Escárcega, Gus Hahn-Powell, Dane Bell and Mihai Surdeanu
12:20–12:40	Character based String Kernels for Bio-Entity Relation Detection Ritambhara Singh and Yanjun Qi
12:40–14:00	Lunch break
14:00–15:40	Session 3: Disambiguation, Classification, and more
14:00–14:20	Disambiguation of entities in MEDLINE abstracts by combining MeSH terms with knowledge Amy Siu, Patrick Ernst and Gerhard Weikum
14:20–14:40	Using Distributed Representations to Disambiguate Biomedical and Clinical Concepts Stephan Tulkens, Simon Suster and Walter Daelemans
14:40–15:00	Unsupervised Document Classification with Informed Topic Models Timothy Miller, Dmitriy Dligach and Guergana Savova
15:00–15:20	Vocabulary Development To Support Information Extraction of Substance Abuse from Psychiatry Notes Sumithra Velupillai, Danielle L Mowery, Mike Conway, John Hurdle and Brent Kious
15:20–15:40	Syntactic analyses and named entity recognition for PubMed and PubMed Central __ up-to-the-minute Kai Hakala, Suwisa Kaewphan, Tapio Salakoski and Filip Ginter
15:40–16:00	Coffee Break
16:00–16:30	Invited Talk: BioASQ: A challenge on large-scale biomedical semantic indexing and question answering Speaker: Anastasia Krithara
16:30–17:30	Poster Session
	Improving Temporal Relation Extraction with Training Instance Augmentation Chen Lin, Timothy Miller, Dmitriy Dligach, Steven Bethard and Guergana Savova
	Using Centroids of Word Embeddings and Word Mover’s Distance for Biomedical Document Retrieval in Question Answering Georgios-Ioannis Brokos, Prodromos Malakasiotis and Ion Androutsopoulos
	Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway Michael Spranger, Sucheendra Palaniappan and Samik Gosh
	Construction of a Personal Experience Tweet Corpus for Health Surveillance Keyuan Jiang, Ricardo Calix and Matrika Gupta
	Modelling the Combination of Generic and Target Domain Embeddings in a Convolutional Neural Network for Sentence Classification Nut Limsopatham and Nigel Collier
	PubTermVariants: biomedical term variants and their use for PubMed search Lana Yeganova, Won Kim, Sun Kim, Rezarta Islamaj Doğan, Wanli Liu, Donald C Comeau, Zhiyong Lu and W John Wilbur
	This before That: Causal Precedence in the Biomedical Domain Gus Hahn-Powell, Dane Bell, Marco A. Valenzuela-Escárcega and Mihai Surdeanu
	Syntactic methods for negation detection in radiology reports in Spanish Viviana Cotik, Vanesa Stricker, Jorge Vivaldi and Horacio Rodriguez
	How to Train good Word Embeddings for Biomedical NLP Billy Chiu, Gamal Crichton, Anna Korhonen and Sampo Pyysalo
	An Information Foraging Approach to Determining the Number of Relevant Features Brian Connolly, Benjamin Glass and John Pestian
	Assessing the Feasibility of an Automated Suggestion System for Communicating Critical Findings from Chest Radiology Reports to Referring Physicians Brian E. Chapman, Danielle L Mowery, Evan Narasimhan, Neel Patel, Wendy Chapman and Marta Heilbrun
	Building a dictionary of lexical variants for phenotype descriptors Simon Kocbek and Tudor Groza
	Applying deep learning on electronic health records in Swedish to predict healthcare-associated infections Olof Jacobson and Hercules Dalianis
	Identifying First Episodes of Psychosis in Psychiatric Patient Records using Machine Learning Genevieve Gorrell, Sherifat Oduola, Angus Roberts, Tom Craig, Craig Morgan and Rob Stewart
	Relation extraction from clinical texts using domain invariant convolutional neural network Sunil Sahu, Ashish Anand, Krishnadev Oruganty and Mahanandeeshwar Gattu

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.

Program Committee:

 * Sophia Ananiadou, National Centre for Text Mining and University of Manchester, UK 
 * Eiji Aramaki, University of Tokyo, Japan 
 * Alan Aronson, US National Library of Medicine 
 * Asma Ben Abacha, US National Library of Medicine 
 * Olivier Bodenreider, US National Library of Medicine 
 * Kevin Bretonnel Cohen, University of Colorado School of Medicine, USA 
 * Aaron Cohen, Oregon Health and Science University 
 * Dina Demner-Fushman, US National Library of Medicine 
 * Filip Ginter, University of Turku, Finland 
 * Cyril Grouin, LIMSI - CNRS, France 
 * 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 
 * Nhung Nguyen, The University of Manchester, UK
 * Naoaki Okazaki, Tohoku University, Japan 
 * Sampo Pyysalo, University of Cambridge, UK 
 * Bastien Rance, Hopital Europeen Georges Pompidou, France 
 * Fabio Rinaldi,  University of Zurich, Switzerland 
 * Thomas Rindflescht, US National Library of Medicine 
 * Kirk Roberts, The University of Texas Health Science Center at Houston, USA 
 * Angus Roberts, The University of Sheffield, UK 
 * Yoshimasa Tsuruoka, University of Tokyo, Japan 
 * Karin Verspoor, The University of Melbourne, Australia 
 * Byron C. Wallace,  University of Texas at Austin, USA 
 * W John Wilbur, US National Library of Medicine 
 * 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