Abstract is missing.
- Document retrieval and question answering in medical documents. A large-scale corpus challengeCurea Eric. 1-7 [doi]
- Adapting the TTL Romanian POS Tagger to the Biomedical DomainMaria Mitrofan, Radu Ion. 8-14 [doi]
- Discourse-Wide Extraction of Assay Frames from the Biological LiteratureDayne Freitag, Paul Kalmar, Eric Yeh. 15-23 [doi]
- Classification based extraction of numeric values from clinical narrativesMaximilian Zubke. 24-31 [doi]
- Understanding of unknown medical wordsNatalia Grabar, Thierry Hamon. 32-41 [doi]
- Entity-Centric Information Access with Human in the Loop for the Biomedical DomainSeid Muhie Yimam, Steffen Remus, Alexander Panchenko, Andreas Holzinger, Chris Biemann. 42-48 [doi]
- One model per entity: using hundreds of machine learning models to recognize and normalize biomedical names in textVictor Bellon, Raul Rodriguez-Esteban. 49-54 [doi]
- Towards Confidence Estimation for Typed Protein-Protein Relation ExtractionCamilo Thorne, Roman Klinger. 55-63 [doi]
- Identification of Risk Factors in Clinical Texts through Association RulesSvetla Boytcheva, Ivelina Nikolova, Galia Angelova, Zhivko Angelov. 64-72 [doi]
- POMELO: Medline corpus with manually annotated food-drug interactionsThierry Hamon, Vincent Tabanou, Fleur Mougin, Natalia Grabar, Frantz Thiessard. 73-80 [doi]
- Annotation of Clinical Narratives in Bulgarian languageIvajlo Radev, Kiril Ivanov Simov, Galia Angelova, Svetla Boytcheva. 81-87 [doi]