[Corpora-List] Call for Participation: EACL 2014 Workshop on Health Text Mining and Information Analysis (Louhi 2014)

Aron Henriksson aronhen at dsv.su.se
Tue Apr 1 18:36:56 CEST 2014


*** CALL FOR PARTICIPATION ***

EACL 2014 Workshop - The Fifth International Workshop on Health Text Mining and Information Analysis (Louhi 2014) http://dsv.su.se/louhi2014

Location: EACL 2014, in Gothenburg, Sweden (April 27, 2014)

*** PROGRAM ***

8:45 - 9:00 Opening Remarks 9:00 - 10:05 Keynote - Sophia Ananiadou: Supporting evidence-based medicine using text mining

Session I

10:05 - 10:30: A Graph-Based Analysis of Medical Queries of a Swedish Health Care Portal Farnaz Moradi, Ann-Marie Eklund, Dimitrios Kokkinakis, Tomas Olovsson and Philippas Tsigas

10:30 - 11:00: Coffee break

Session II

11:00 - 11:25 The impact of near domain transfer on biomedical named entity recognition Nigel Collier, Mai-vu Tran and Ferdinand Paster 11:25 - 11:50: Domain Adaptation with Active Learning for Coreference Resolution Shanheng Zhao and Hwee Tou Ng 11:55 - 12:20: Towards Cross-Domain PDTB-Style Discourse Parsing Evgeny Stepanov and Giuseppe Riccardi

12:20 - 13:45: Lunch Break

Session III

13:45 - 14:10: Translating SNOMED CT Terminology into a Minor Language Olatz Perez-de-Viñaspre and Maite Oronoz 14:10 - 14:35: A System for Building FrameNet-like Corpus for the Biomedical Domain He Tan 14:35 - 15:00: Gene-disease association extraction by text mining and network analysis Changqin Quan and Fuji Ren

15:00 - 16:00: Poster Session (with coffee 15:30-16:00) * Negation scope and spelling variation for text-mining of Danish electronic patient records Cecilia Engel Thomas, Peter Bjödstrup Jensen, Thomas Werge and Sören Brunak * Building a semantically annotated corpus for congestive heart and renal failure from clinical records and the literature Noha Alnazzawi, Paul Thompson and Sophia Ananiadou * Precise Medication Extraction using Agile Text Mining Chaitanya Shivade, James Cormack and David Milward *Applying UMLS for Distantly Supervised Relation Detection Roland Roller and Mark Stevenson * Adverse Drug Event prediction combining shallow analysis and machine learning Sara Santiso, Arantza Casillas, Alicia Perez, Maite Oronoz and Koldo Gojenola * Reducing VSM data sparseness by generalizing contexts: application to health text mining Amandine Périnet and Thierry Hamon * Disambiguation of Period Characters in Clinical Narratives Markus Kreuzthaler and Stefan Schulz * Tuning HeidelTime for identifying time expressions in clinical texts in English and French Thierry Hamon and Natalia Grabar

Session IV

16:00 - 16:25: Detecting drugs and adverse events from Spanish social media streams Isabel Segura-Bedmar, Ricardo Revert and Paloma Martínez 16:25 - 16:50: Care Episode Retrieval Hans Moen, Erwin Marsi, Filip Ginter, Laura-Maria Murtola, Tapio Salakoski and Sanna Salanterä 16:50 - 17:00: Closing Remarks including guest announcement for BioASQ

-- Aron Henriksson PhD student Dept. of Computer and Systems Sciences (DSV) Stockholm University Forum 100, 164 40 Kista, Sweden

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