D'Souza, JenniferNg, Vincent2015-01-212015-01-212014-10-19D'Souza, Jennifer, and Vincent Ng. 2014. "Knowledge-rich temporal relation identification and classification in clinical notes." Database: The Journal of Biological Databases and Curation 2014: 1-20.1758-0463http://hdl.handle.net/10735.1/4277Motivation: We examine the task of temporal relation classification for the clinical domain. Our approach to this task departs from existing ones in that it is (i) 'knowledge-rich', employing sophisticated knowledge derived from discourse relations as well as both domain-independent and domain-dependent semantic relations, and (ii) 'hybrid', combining the strengths of rule-based and learning-based approaches. Evaluation results on the i2b2 Clinical Temporal Relations Challenge corpus show that our approach yields a 17-24% and 8-14% relative reduction in error over a state-of-the-art learning-based baseline system when gold-standard and automatically identified temporal relations are used, respectively.CC-BY 4.0 (Attribution)http://creativecommons.org/licenses/by/4.0/legalcodeTemporal relationsSemantic relationsClassificationRelation types©2014 The Authorsarticle2014