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HeidelTime: High Quality Rule-based Extraction and Normalization of Temporal Expressions

, and . Proceedings of the 5th International Workshop on Semantic Evaluation, page 321--324. Stroudsburg, PA, USA, Association for Computational Linguistics, (2010)

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.

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