Jannik Strötgen
ABSTRACT
In this paper, we describe HeidelTime, a system for the extraction and normalization of temporal expressions. HeidelTime is a rule-based system mainly using regular expression patterns for the extraction of temporal expressions and knowledge resources as well as linguistic clues for their normalization. In the TempEval-2 challenge, HeidelTime achieved the highest F-Score (86%) for the extraction and the best results in assigning the correct value attribute, i.e., in understanding the semantics of the temporal expressions.
- ]]James Pustejovsky and Marc Verhagen. 2009. SemEval-2010 Task 13: Evaluating Events, Time Expressions, and Temporal Relations (TempEval-2). In Proceedings of the Workshop on Semantic Evaluations (SEW-2009), pages 112--116. ACL. Google Scholar
Digital Library
- ]]Frank Schilder and Christopher Habel. 2001. From Temporal Expressions to Temporal Information: Semantic Tagging of News Messages. In Proceedings of the ACL-2001 Workshop on Temporal and Spatial Information Processing, pages 65--72. ACL. Google ScholarDigital Library
- ]]Jannik Strötgen, Michael Gertz, and Pavel Popov. 2010. Extraction and Exploration of Spatio-Temporal Information in Documents. In GIR '10, pages 1--8. ACM. Google ScholarDigital Library
Index Terms
- HeidelTime: High quality rule-based extraction and normalization of temporal expressions
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