Louhi 2015
the Sixth International Workshop on Health Text Mining and Information Analysis
EMNLP 2015 Workshop, Lisbon, Portugal
Call for papers
The Sixth International Workshop on Health Text Mining and Information Analysis provides an interdisciplinary forum for researchers interested in automated processing of health documents. Health documents encompass electronic health records, clinical guidelines, spontaneous reports for pharmacovigilance, biomedical literature, health forums/blogs or any other type of health related documents. The Louhi workshop series fosters interactions between the Computational Linguistics, Medical Informatics and Artificial Intelligence communities. It started in 2008 in Turku, Finland and has been organized five times: Louhi 2010 was co-located with NAACL in Los Angeles, CA; Louhi 2011 was co-located with Artificial Intelligence in Medicine (AIME) in Bled, Slovenia; Louhi 2013 was held in Sydney, Australia during NICTA Techfest; and Louhi 2014 was co-located with EACL in Gothenburg, Sweden.
Louhi 2015 is soliciting papers describing original research. Papers must describe substantial and completed work but also focus on a contribution, a negative result, a software package or work in progress. The areas include, but are not limited to, the following language processing techniques and related areas:
- Techniques supporting information extraction, e.g. named entity recognition, negation and uncertainty detection
- Classification and text mining applications (e.g. diagnostic classifications such as ICD-10 and nursing intensity scores) and problems (e.g. handling of unbalanced data sets)
- Text representation, including dealing with data sparsity and dimensionality issues
- Domain adaptation, e.g. adaptation of standard NLP tools (incl. tokenizers, PoS-taggers, etc) to the medical domain
- Information fusion, i.e. integrating data from various sources, e.g. structured and narrative documentation
- Unsupervised methods, including distributional semantics
- Evaluation, gold/reference standard construction and annotation
- Syntactic, semantic and pragmatic analysis of health documents
- Anonymization / de-identification of health records and ethics
- Supporting the development of medical terminologies and ontologies
- Individualization of content, consumer health vocabularies, summarization and simplification of text
- NLP for supporting documentation and decision making practices
- Predictive modeling of adverse events,e.g. adverse drug events and hospital acquired infections
We welcome submissions on topics related to text mining of health documents, particularly emphasizing multidisciplinary aspects of health documentation and the interplay between nursing and medical sciences, information systems, computational linguistics and computer science. We also encourage submissions reporting work on low-resourced languages, addressing the challenges of data sparsity and language characteristic diversity.
Submissions go through a double-blind review process, where each submission is reviewed by three program committee members. Accepted papers will be presented by the authors in a regular workshop session either as a talk or a poster. All accepted papers will be published in the workshop proceedings. As in previous Louhi workshops, the authors of selected papers will be invited to submit an extended version of their contribution that will be considered for a follow-up publication in a special issue of a high-impact journal.
Louhi 2015 will only accept electronic submission via its START submission system (https://www.softconf.com/emnlp2015/Louhi15). The submissions should be in PDF format and anonymized for review. All submissions must be written in English and follow the EMNLP 2015 formatting requirements (available on the EMNLP 2015 website). We strongly advise the use of the Word or LaTeX template files provided by EMNLP 2015: http://www.emnlp2015.org.
- Long paper submission consists of a paper of up to eight (8) pages of content, plus two pages for references; final versions of long papers will be given one additional page (up to 9 pages with 2 pages for references) so that reviewers’ comments can be taken into account.
- Short paper submission consists of up to four (4) pages of content, plus 2 pages for references. Upon acceptance, short papers will be given five (5) pages in the proceedings and 2 pages for references. Authors are encouraged to use this additional page to address reviewers’ comments in their final versions.
Submission Instructions
The submissions should be written in English and anonymized for review and must use the Word or LaTeX template files provided by EMNLP 2015.
- Long paper submission: up to 8 pages of content, plus 2 pages for references; final versions of long papers: one additional page: up to 9 pages with 2 pages for references
- Short paper submission: up to 4 pages of content, plus 2 pages for references; final version of short papers: up to 5 pages with 2 pages for references
PDF files will be submitted electronically via the START submission system.
Accepted papers
ORAL PRESENTATION
- D'hondt E, Tannier X and Névéol A. Redundancy in French Electronic Health Records: A preliminary study.
- Friedrich S and Dalianis H. Adverse Drug Event classification of health records using dictionary based pre-processing and machine learning.
- Grouin C, Griffon N and Névéol A. What are the chances of recovering personal health information from an automatically de-identified corpus of French EHRs?
- Henriksson A. Representing Clinical Notes for Adverse Drug Event Detection.
- Jagannatha A, Chen J and Yu H. Mining and Ranking Synonym Candidates from Wikipedia.
- Sadeque F, Solorio T, Pedersen T, Shrestha P and Bethard S. Predicting Continued Participation in Online Health Forums.
- Venturi G, Bellandi T, Dell'Orletta and Montemagni S. NLP-Based Readability Assessment of Health-Related Texts: a Case Study on Italian Informed Consent Forms.
- Yim WW, Kwan S and Yetisgen M. In-depth annotation for patient level liver cancer staging.
POSTER
- Alfalahi A, Skeppstedt M, Ahlbom R, Baskalayci R, Henriksson A, Asker L, Paradis C and Kerren A. Expanding a dictionary of marker words for uncertainty and negation using distributional semantics.
- Busse S. Checking a sructured pathology report for completeness of content using terminological knowledge.
- Cocos A, Masino A, Qian T, Pavlick E and Callison-Burch C. Effectively Crowdsourcing Radiology Report Annotations.
- Cruz Diaz NP and Maña López M. An Analysis of Biomedical Tokenization: Problems and Strategies.
- Dwi Prasetyo N, Hauff C, Nguyen D, van den Broek T and Hiemstra D. On the Impact of Twitter-based Health Campaigns: A Cross-Country Analysis of Movember.
- Mitchell J and Steedman M. Parser Adaptation to the Biomedical Domain without Re-Training.
- Roller R and Stevenson M. Held-out versus Gold Standard: Evaluation of Relational Classifiers based on Distant Supervision.
- Segura-Bedmar I, Suárez-Paniagua and Martinez P. Exploring Word Embedding for Drug Name Recognition.
- Tapi Nzali MD, Tannier X and Névéol A. Automatic Extraction of Time Expressions Accross Domains in French Narratives.
- Weegar R and Dalianis H. Creating a rule based system for text mining of Norwegian breast cancer pathology reports.
- Yetisgen M, Klassen P, McCarthy L, Pellicer E, Payne T and Gunn M. Annotation of Clinically Important Follow-up Recommendations in Radiology Reports
- Zheng J and Yu H. Identifying Key Concepts from EHR Notes Using Domain Adaptation.
Workshop program
Program Committee
- Sophia Ananiadou, University of Manchester, U.K.
- Sabine Bergler, Concordia University, Canada
- Thomas Brox Røst, Norwegian University of Science and Technology, Norway
- Kevin B. Cohen, University of Colorado/School of Medicine, USA
- Francisco Couto, University of Lisbon, Portugal
- Hercules Dalianis, Stockholm University, Sweden
- Louise Deléger, INRA, France
- Gaël Dias, Normandie University, France
- Martin Duneld/Hassel, Stockholm University, Sweden
- Richárd Farkas, Institute of Informatics, Hungary
- Filip Ginter, University of Turku, Finland
- Natalia Grabar, CNRS UMR 8163, STL Université de Lille3, France
- Gintaré Grigonyté, Stockholm University, Sweden
- Aron Henriksson, Stockholm University, Sweden
- Rezarta Islamaj, NIH/NLM/NCBI, USA
- Antonion Jimeno Yepes, IBM Research, Australia
- Jussi Karlgren, KTH, Royal Institute of Technology, Sweden
- Dimitrios Kokkinakis, University of Gothenburg, Sweden
- Maria Kvist, Stockholm University, Sweden
- Alberto Lavelli, Fondazione Bruno Kessler, Italy
- David Martínez, University of Melbourne and MedWhat.com, Australia
- Beáta Megyesi, Uppsala University, Sweden
- Marie-Jean Meurs, UQAM & Concordia University, QC, Canada
- Fleur Mougin, Université de Bordeaux, ERIAS, Centre INSERM U897, ISPED, France
- Danielle L Mowery, University of Utah, USA
- Henning Müller, University of Applied Sciences Western Switzerland, Switzerland
- Mariana Neves, Hasso-Plattner-Institute at the University of Potsdam, Germany
- Jong C. Park, KAIST Computer Science, Korea
- Jon D. Patrick, Health Language Laboratories, Australia
- Sampo Pyysalo, University of Turku, Finland
- Stefan Schulz, Graz General Hospital and University Clinics, Austria
- Tapio Salakoski, University of Turku, Finland
- Sanna Salanterä, University of Turku, Finland
- Isabel Segura-Bedmar, Universidad Carlos III de Madrid, Spain
- Maria Skeppstedt, Gavagai and Linnaeus University, Sweden
- Hanna Suominen, NICTA, Australia
- Suzanne Tamang, Stanford University School of Medicine, USA
- Özlem Uzuner, MIT, U.S.A.
- Sumithra Velupillai, Stockholm University, Sweden
- Karin Verspoor, University of Melbourne, Australia
- Mats Wirén, Stockholm University, Stockholm, Sweden