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ORCIDLouhi@EACL 2014: Gothenburg, Sweden
- Sumithra Velupillai, Martin Duneld, Maria Kvist, Hercules Dalianis, Maria Skeppstedt, Aron Henriksson:
Proceedings of the 5th International Workshop on Health Text Mining and Information Analysis, Louhi@EACL 2014, Gothenburg, Sweden, April 27, 2014. Association for Computational Linguistics 2014, ISBN 978-1-937284-90-9 - Sophia Ananiadou:
Keynote: Supporting evidence-based medicine using text mining. 1 - Farnaz Moradi, Ann-Marie Eklund, Dimitrios Kokkinakis, Tomas Olovsson, Philippas Tsigas:
A Graph-Based Analysis of Medical Queries of a Swedish Health Care Portal. 2-10 - Nigel Collier
, Mai-Vu Tran, Ferdinand Paster:
The impact of near domain transfer on biomedical named entity recognition. 11-20 - Shanheng Zhao, Hwee Tou Ng:
Domain Adaptation with Active Learning for Coreference Resolution. 21-29 - Evgeny A. Stepanov, Giuseppe Riccardi:
Towards Cross-Domain PDTB-Style Discourse Parsing. 30-37 - Olatz Perez-de-Viñaspre, Maite Oronoz:
Translating SNOMED CT Terminology into a Minor Language. 38-45 - He Tan:
A System for Building FrameNet-like Corpus for the Biomedical Domain. 46-53 - Changqin Quan, Fuji Ren:
Gene-disease association extraction by text mining and network analysis. 54-63 - Cecilia Engel Thomas, Peter Bjødstrup Jensen, Thomas Werge, Søren Brunak:
Negation scope and spelling variation for text-mining of Danish electronic patient records. 64-68 - Noha Alnazzawi, Paul Thompson, Sophia Ananiadou:
Building a semantically annotated corpus for congestive heart and renal failure from clinical records and the literature. 69-74 - Chaitanya Shivade, James Cormack, David Milward:
Precise Medication Extraction using Agile Text Mining. 75-79 - Roland Roller, Mark Stevenson:
Applying UMLS for Distantly Supervised Relation Detection. 80-84 - Sara Santiso Gonzáles, Arantza Casillas, Alicia Pérez, Maite Oronoz, Koldo Gojenola:
Adverse Drug Event prediction combining shallow analysis and machine learning. 85-89 - Amandine Périnet, Thierry Hamon:
Reducing VSM data sparseness by generalizing contexts: application to health text mining. 90-95 - Markus Kreuzthaler, Stefan Schulz:
Disambiguation of Period Characters in Clinical Narratives. 96-100 - Thierry Hamon, Natalia Grabar:
Tuning HeidelTime for identifying time expressions in clinical texts in English and French. 101-105 - Isabel Segura-Bedmar, Ricardo Revert, Paloma Martínez:
Detecting drugs and adverse events from Spanish social media streams. 106-115 - Hans Moen, Erwin Marsi, Filip Ginter, Laura-Maria Murtola, Tapio Salakoski, Sanna Salanterä:
Care Episode Retrieval. 116-124
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