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BluLab: Temporal Information Extraction for the 2015 Clinical TempEval Challenge
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. University of Utah, USA.
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2015 (English)In: Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), Association for Computational Linguistics, 2015, 815-819 p.Conference paper (Refereed)
Abstract [en]

The 2015 Clinical TempEval Challenge addressed the problem of temporal reasoning in the clinical domain by providing an annotated corpus of pathology and clinical notes related to colon cancer patients. The challenge consisted of six subtasks: TIMEX3 and event span detection, TIMEX3 and event attribute classification, document relation time and narrative container relation classification. Our BluLab team participated in all six subtasks. For the TIMEX3 and event subtasks, we developed a ClearTK support vector machine pipeline using mainly simple lexical features along with information from rule-based systems. For the relation subtasks, we employed a conditional random fields classification approach, with input from a rule-based system for the narrative container relation subtask. Our team ranked first for all TIMEX3 and event subtasks, as well as for the document relation subtask.

Place, publisher, year, edition, pages
Association for Computational Linguistics, 2015. 815-819 p.
National Category
Information Systems
Research subject
Computer and Systems Sciences
URN: urn:nbn:se:su:diva-119903OAI: diva2:868523
The 9th International Workshop on Semantic Evaluation (SemEval 2015), Denver, Colorado, June 4-5, 2015
Available from: 2015-11-11 Created: 2015-08-28 Last updated: 2015-12-04Bibliographically approved

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Velupillai, Sumithra
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Department of Computer and Systems Sciences
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