<html><head><meta http-equiv="Content-Type" content="text/html charset=iso-8859-1"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;"><span style="background-color: rgb(255, 255, 255);">*** CALL FOR PARTICIPATION ***</span><br><br><span style="background-color: rgb(255, 255, 255);">EACL 2014 Workshop - The Fifth International Workshop on Health Text Mining and Information Analysis (Louhi 2014)</span><br><a href="http://dsv.su.se/louhi2014">http://dsv.su.se/louhi2014</a><br><br><span style="background-color: rgb(255, 255, 255);">Location: EACL 2014, in Gothenburg, Sweden (April 27, 2014)</span><br><br><span style="background-color: rgb(255, 255, 255);">*** PROGRAM ***</span><br><br><span style="background-color: rgb(255, 255, 255);">8:45 - 9:00 Opening Remarks </span><br><span style="background-color: rgb(255, 255, 255);">9:00 - 10:05 </span><b>Keynote</b><span style="background-color: rgb(255, 255, 255);"> - Sophia Ananiadou: Supporting evidence-based medicine using text mining</span><br><br><b>Session I</b><br><br><span style="background-color: rgb(255, 255, 255);">10:05 - 10:30: A Graph-Based Analysis of Medical Queries of a Swedish Health Care Portal</span><br><span style="background-color: rgb(255, 255, 255);">Farnaz Moradi, Ann-Marie Eklund, Dimitrios Kokkinakis, Tomas Olovsson and Philippas Tsigas</span><br><br><span style="background-color: rgb(255, 255, 255);">10:30 - 11:00: Coffee break</span><br><br><b>Session II</b><br><br><span style="background-color: rgb(255, 255, 255);">11:00 - 11:25 The impact of near domain transfer on biomedical named entity recognition</span><br><span style="background-color: rgb(255, 255, 255);">Nigel Collier, Mai-vu Tran and Ferdinand Paster</span><br><span style="background-color: rgb(255, 255, 255);">11:25 - 11:50: Domain Adaptation with Active Learning for Coreference Resolution</span><br><span style="background-color: rgb(255, 255, 255);">Shanheng Zhao and Hwee Tou Ng</span><br><span style="background-color: rgb(255, 255, 255);">11:55 - 12:20: Towards Cross-Domain PDTB-Style Discourse Parsing</span><br><span style="background-color: rgb(255, 255, 255);">Evgeny Stepanov and Giuseppe Riccardi</span><br><br><span style="background-color: rgb(255, 255, 255);">12:20 - 13:45: Lunch Break</span><br><br><b>Session III</b><br><br><span style="background-color: rgb(255, 255, 255);">13:45 - 14:10: Translating SNOMED CT Terminology into a Minor Language</span><br><span style="background-color: rgb(255, 255, 255);">Olatz Perez-de-Viñaspre and Maite Oronoz</span><br><span style="background-color: rgb(255, 255, 255);">14:10 - 14:35: A System for Building FrameNet-like Corpus for the Biomedical Domain</span><br><span style="background-color: rgb(255, 255, 255);">He Tan</span><br><span style="background-color: rgb(255, 255, 255);">14:35 - 15:00: Gene-disease association extraction by text mining and network analysis</span><br><span style="background-color: rgb(255, 255, 255);">Changqin Quan and Fuji Ren</span><br><br><span style="background-color: rgb(255, 255, 255);">15:00 - 16:00: </span><b>Poster Session</b><span style="background-color: rgb(255, 255, 255);"> (with coffee 15:30-16:00)</span><br><span style="background-color: rgb(255, 255, 255);">* Negation scope and spelling variation for text-mining of Danish electronic patient records</span><br><span style="background-color: rgb(255, 255, 255);">Cecilia Engel Thomas, Peter Bjödstrup Jensen, Thomas Werge and Sören Brunak</span><br><span style="background-color: rgb(255, 255, 255);">* Building a semantically annotated corpus for congestive heart and renal failure from clinical records and the literature</span><br><span style="background-color: rgb(255, 255, 255);">Noha Alnazzawi, Paul Thompson and Sophia Ananiadou</span><br><span style="background-color: rgb(255, 255, 255);">* Precise Medication Extraction using Agile Text Mining</span><br><span style="background-color: rgb(255, 255, 255);">Chaitanya Shivade, James Cormack and David Milward</span><br><span style="background-color: rgb(255, 255, 255);">*Applying UMLS for Distantly Supervised Relation Detection</span><br><span style="background-color: rgb(255, 255, 255);">Roland Roller and Mark Stevenson</span><br><span style="background-color: rgb(255, 255, 255);">* Adverse Drug Event prediction combining shallow analysis and machine learning</span><br><span style="background-color: rgb(255, 255, 255);">Sara Santiso, Arantza Casillas, Alicia Perez, Maite Oronoz and Koldo Gojenola</span><br><span style="background-color: rgb(255, 255, 255);">* Reducing VSM data sparseness by generalizing contexts: application to health text mining</span><br><span style="background-color: rgb(255, 255, 255);">Amandine Périnet and Thierry Hamon</span><br><span style="background-color: rgb(255, 255, 255);">* Disambiguation of Period Characters in Clinical Narratives</span><br><span style="background-color: rgb(255, 255, 255);">Markus Kreuzthaler and Stefan Schulz</span><br><span style="background-color: rgb(255, 255, 255);">* Tuning HeidelTime for identifying time expressions in clinical texts in English and French</span><br><span style="background-color: rgb(255, 255, 255);">Thierry Hamon and Natalia Grabar</span><br><br><b>Session IV</b><br><br><span style="background-color: rgb(255, 255, 255);">16:00 - 16:25: Detecting drugs and adverse events from Spanish social media streams</span><br><span style="background-color: rgb(255, 255, 255);">Isabel Segura-Bedmar, Ricardo Revert and Paloma Martínez </span><br><span style="background-color: rgb(255, 255, 255);">16:25 - 16:50: Care Episode Retrieval</span><br><span style="background-color: rgb(255, 255, 255);">Hans Moen, Erwin Marsi, Filip Ginter, Laura-Maria Murtola, Tapio Salakoski and Sanna Salanterä</span><br><span style="background-color: rgb(255, 255, 255);">16:50 - 17:00: Closing Remarks including guest announcement for BioASQ</span><div><span style="background-color: rgb(255, 255, 255);"><br></span><div>
<div><div style="orphans: 2; widows: 2;">--</div><div style="orphans: 2; widows: 2;">Aron Henriksson</div><div style="orphans: 2; widows: 2;">PhD student</div><div style="orphans: 2; widows: 2;">Dept. of Computer and Systems Sciences (DSV)</div><div style="orphans: 2; widows: 2;">Stockholm University<br>Forum 100, 164 40 Kista, Sweden</div></div>
</div>
<br></div></body></html>