Understanding temporal expressions in emails

Authors:
Benjamin Han;Donna Gates;Lori Levin
Affiliations:
Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA
Venue:
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Year:
2006

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Abstract

Recent years have seen increasing research on extracting and using temporal information in natural language applications. However most of the works found in the literature have focused on identifying and understanding temporal expressions in newswire texts. In this paper we report our work on anchoring temporal expressions in a novel genre, emails. The highly under-specified nature of these expressions fits well with our constraint-based representation of time, Time Calculus for Natural Language (TCNL). We have developed and evaluated a Temporal Expression Anchoror (TEA), and the result shows that it performs significantly better than the baseline, and compares favorably with some of the closely related work.