论文信息 - From Language to Time: A Temporal Expression Anchorer

From Language to Time: A Temporal Expression Anchorer

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

Donna Gates | Lori S. Levin | Benjamin Han | D. Gates | Benjamin Han

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