Abstract
Understanding temporal expressions in natural language in 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. © 2006 IEEE.
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CITATION STYLE
Han, B., Gates, D., & Levin, L. (2006). From language to time: A temporal expression anchorer. In Proceedings of the International Workshop on Temporal Representation and Reasoning (Vol. 2006, pp. 196–203). https://doi.org/10.1109/TIME.2006.16
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