Call for papers Louhi 2014

EACL 2014 Workshop - The Fifth International Workshop on Health Text Mining and Information Analysis (Louhi 2014)

Location: EACL 2014, in Gothenburg, Sweden (April 27, 2014)
Submission deadline: 23 January 2014, extended to 28 January 2014.

Workshop program
The Workshop program (260 Kb) and Proceedings for Louhi 2014 are now ready.

All accepted Louhi 2014 contributions has been invited to submit a substantially revised and extended article to a Louhi Special Issue and is now published in Louhi 2014: Special Issue on Health Text Mining and Information Analysis in BMC Medical Informatics and Decision Making, Volume 15, Supplement 2, 2015.



Some slides SNOMED-Basque (1388 Kb) and BioASQ (514 Kb) and a our blog with some photos from the workshop.

Louhi 2014

The Fifth 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 started in 2008 in Turku, Finland and has been organized four times. Louhi 2010 was co-located with NAACL in Los Angeles and Louhi 2011 with Artificial Intelligence in Medicine (AIME) in Bled, Slovenia. The last edition, Louhi 2013, was held in Sydney.

Louhi 2014 is soliciting long and short papers describing original research. Long papers (8 pages excluding references) must describe substantial and completed work. Short papers (4 pages excluding references) typically describe a focused 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 on work for minor languages, representing the diverse challenge that traits in different languages pose to common tasks.

Important Dates

Long and short paper submission deadline: 23 January 2014, extended to 28 January 2014.
Notification to authors: 20 February 2014
Paper camera-ready due: 3 March 2014
Workshop: 27 April 2014

Submission Instructions

For Louhi 2014, the following two types of submissions will be accepted: long papers (8 pages excluding references) and short papers (4 pages excluding references).

Submissions go through a rigorous, double-blind review process, where each submission is reviewed by three program committee members. The initial manuscript submission should therefore not include acknowledgments, authors' names or affiliations. Extensive referring to own previous work should also be avoided. The submissions will be judged on originality, relevance, technical quality and presentation.

Accepted papers will be presented by the authors in a regular workshop session. All accepted papers will be published in the workshop proceedings. Similar to previous Louhi workshops, authors of selected papers will be offered the possibility to submit extended papers for potential publication in a special issue of a high-impact journal, e.g. Artificial Intelligence in Medicine as for Louhi 2013.

Louhi 2014 will only accept electronic submission via its START submission system. The submissions should be in PDF format and anonymized for review. All submissions must follow the EACL 2014 formatting requirements (available on the EACL 2014 website). We strongly advise the use of the Word or LaTeX template files provided by EACL 2014.

Submitted papers should describe original work. Simultaneous submission to other forums (e.g. other conferences with published proceedings) is not allowed. A significant overlap in content with previously published work should be clearly indicated to the program committee.

Invited Speaker

Sophia Ananiadou, professor in the School of Computer Science at the University of Manchester and director of the National Centre for Text Mining (NaCTeM).

Title of invited speech: Supporting evidence-based medicine using text mining


Louhi 2014 is organized by the Clinical Text Mining Group  at the Department of Computer and Systems Sciences (DSV) at Stockholm University.

Chair: Sumithra Velupillai
Program Co-chairs: Hercules Dalianis, Maria Kvist and Martin Duneld
Publication Chair: Martin Duneld
Local Organization Chairs: Maria Skeppstedt and Aron Henriksson

Programme Committee

Anette Hulth, Swedish Institute for Infectious Disease Control, Karolinska Institutet, Sweden
Antti Airola, University of Turku, Finland
Beáta Megyesi, Uppsala University, Sweden
David Martinez, NICTA, Australia
Dimitris Kokkinakis, University of Gothenburg, Sweden
Filip Ginter, University of Turku, Finland
Gintaré Grigonyté, Stockholm University, Sweden
Hanna Suominen, NICTA, Australia
Henning Müller  University of Applied Sciences Western Switzerland, Switzerland
Jon D. Patrick, Health Language Laboratories, Australia
Jong C. Park, KAIST Computer Science, Korea
Jussi Karlgren, KTH, Royal Institute of Technology, Sweden
Mats Wirén, Stockholm University, Stockholm
Özlem Uzuner, MIT, U.S.
Pierre Zweigenbaum, LIMSI, Computer Sciences Laboratory for Mechanics and Engineering Sciences, France
Richárd Farkas, Institute of Informatics, Hungary
Sabine Bergler, Concordia University, Canada
Sampo Pyysalo, University of Tokyo, Japan
Sanna Salanterä, University of Turku, Finland
Sophia Ananiadou, University of Manchester, U.K.
Stefan Schulz, Graz General Hospital and University Clinics, Austria
Tapio Salakoski, University of Turku, Finland
Thomas Brox Røst, Norwegian University of Science and Technology, Norway