BioNLP 2023

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~~, Thursday, May 24, 2018 (Sorry for the delay)
Camera-ready copy due from authors: ~~Monday May 28~~, Thursday, May 31, 2018
Workshop: Thursday July 19, 2018

BioNLP 2018 WORKSHOP PROGRAM

Thursday July 19, 2018
9:00–9:10	Opening remarks
9:10–10:30	Session 1: Clinical NLP
9:10–9:30	Embedding Transfer for Low-Resource Medical Named Entity Recognition: A Case Study on Patient Mobility Denis Newman-Griffis and Ayah Zirikly
9:30–9:50	Multi-task learning for interpretable cause of death classification using key phrase prediction Serena Jeblee, Mireille Gomes and Graeme Hirst
9:50–10:10	Identifying Risk Factors For Heart Disease in Electronic Medical Records: A Deep Learning Approach Thanat Chokwijitkul, Anthony Nguyen, Hamed Hassanzadeh and Siegfried Perez
10:10–10:30	Identifying Key Sentences for Precision Oncology Using Semi-Supervised Learning Jurica Ševa, Martin Wackerbauer and Ulf Leser
10:30–11:00	*Coffee Break*
11:00–12:30	Session 2: Foundations
11:00–11:20	Ontology alignment in the biomedical domain using entity definitions and context Lucy Wang, Chandra Bhagavatula, Mark Neumann, Kyle Lo, Chris Wilhelm and Waleed Ammar
11:20–11:40	Sub-word information in pre-trained biomedical word representations: evaluation and hyper-parameter optimization Dieter Galea, Ivan Laponogov and Kirill Veselkov
11:40–12:00	Keyphrases Extraction from User-Generated Contents in Healthcare Domain Using Long Short-Term Memory Networks Ilham Fathy Saputra, Rahmad Mahendra and Alfan Farizki Wicaksono
12:00–12:20	Coding Structures and Actions with the COSTA Scheme in Medical Conversations Nan Wang, Yan Song and Fei Xia
12:30–14:00	*Lunch break*
14:00–15:00	Invited Talk: "Automating systematic reviews: progress and challenges" – Paul Glasziou
15:00–15:30	Invited Presentation: "A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature" – Ben Nye
15:30–16:00	*Coffee Break*
16:00–16:30	Session 3 Literature mining and retrieval; Question Answering
16:00–16:20	A Neural Autoencoder Approach for Document Ranking and Query Refinement in Pharmacogenomic Information Retrieval Jonas Pfeiffer, Samuel Broscheit, Rainer Gemulla and Mathias Göschl
16:20–16:40	Biomedical Event Extraction Using Convolutional Neural Networks and Dependency Parsing Jari Björne and Tapio Salakoski
16:40–17:00	BioAMA: Towards an End to End BioMedical Question Answering System Vasu Sharma, Nitish Kulkarni, Srividya Pranavi, Gabriel Bayomi, Eric Nyberg and Teruko Mitamura
17:00–17:20	Phrase2VecGLM: Neural generalized language model–based semantic tagging for complex query reformulation in medical IR Manirupa Das, Eric Fosler-Lussier, Simon Lin, Soheil Moosavinasab, David Chen, Steve Rust, Yungui Huang and Rajiv Ramnath
17:20–17:40	PICO Element Detection in Medical Text via Long Short-Term Memory Neural Networks Di Jin and Peter Szolovits
17:40–18:00	Poster Session
	Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings Dat Quoc Nguyen and Karin Verspoor
	Domain Adaptation for Disease Phrase Matching with Adversarial Networks Miaofeng Liu, Jialong Han, Haisong Zhang and Yan Song
	Predicting Discharge Disposition Using Patient Complaint Notes in Electronic Medical Records Mohamad Salimi and Alla Rozovskaya
	Bacteria and Biotope Entity Recognition Using A Dictionary-Enhanced Neural Network Model Qiuyue Wang and Xiaofeng Meng
	SingleCite: Towards an improved Single Citation Search in PubMed Lana Yeganova, Donald C Comeau, Won Kim, W John Wilbur and Zhiyong Lu
	A Framework for Developing and Evaluating Word Embeddings of Drug-named Entity Mengnan Zhao, Aaron J. Masino and Christopher C. Yang
	MeSH-based dataset for measuring the relevance of text retrieval Won Gyu KIM, Lana Yeganova, Donald comeau, W John Wilbur and Zhiyong Lu
	CRF-LSTM Text Mining Method Unveiling the Pharmacological Mechanism of Off-target Side Effect of Anti-Multiple Myeloma Drugs Kaiyin Zhou, Sheng Zhang, Xiangyu Meng, Qi Luo, Yuxing Wang, Ke Ding, Yukun Feng, Mo Chen, Kevin Cohen and Jingbo Xia
	Prediction Models for Risk of Type-2 Diabetes Using Health Claims Masatoshi Nagata, Kohichi Takai, Keiji Yasuda, Panikos Heracleous and Akio Yoneyama
	On Learning Better Embeddings from Chinese Clinical Records: Study on Combining In-Domain and Out-Domain Data Yaqiang Wang, Yunhui Chen, Hongping Shu and Yongguang Jiang
	Investigating Domain-Specific Information for Neural Coreference Resolution on Biomedical Texts Long Trieu, Nhung Nguyen, Makoto Miwa and Sophia Ananiadou
	Toward Cross-Domain Engagement Analysis in Medical Notes Sara Rosenthal and Adam Faulkner

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