1. Relative and Incomplete Time Expression Anchoring for Clinical Text
- Author
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Nicol Bergou, Sumithra Velupillai, Louise Dupuis, and Hegler Tissot
- Subjects
Computer science ,business.industry ,Time expression ,Anchoring ,Timeline ,02 engineering and technology ,computer.software_genre ,Task (project management) ,Relation classification ,020204 information systems ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Artificial intelligence ,Element (category theory) ,business ,Temporal information ,computer ,Natural language processing - Abstract
Extracting and modeling temporal information in clinical text is an important element for developing timelines and disease trajectories. Time information in written text varies in preciseness and explicitness, posing challenges for NLP approaches that aim to accurately anchor temporal information on a timeline. Relative and incomplete time expressions (RI-Timexes) are expressions that require additional information for their temporal anchor to be resolved, but few studies have addressed this challenge specifically. In this study, we aimed to reproduce and verify a classification approach for identifying anchor dates and relations in clinical text, and propose a novel relation classification approach for this task.
- Published
- 2020
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