From Language to Time: A Temporal Expression Anchorer

  • Authors:
  • Benjamin Han;Donna Gates;Lori Levin

  • Affiliations:
  • Carnegie Mellon University;Carnegie Mellon University;Carnegie Mellon University

  • Venue:
  • TIME '06 Proceedings of the Thirteenth International Symposium on Temporal Representation and Reasoning
  • Year:
  • 2006

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Abstract

Understanding temporal expressions in natural language is a key step towards incorporating temporal information in many applications. In this paper we describe a system capable of anchoring such expressions in English: system TEA features a constraint-based calendar model and a compact representational language to capture the intensional meaning of temporal expressions. We also report favorable results from experiments conducted on several email datasets.