Abstract
We introduce an annotation scheme for temporal expressions, and describe a method for resolving temporal expressions in print and broadcast news. The system, which is based on both hand-crafted and machine-learnt rules, achieves an 83.2% accuracy (F-measure) against hand-annotated data. Some initial steps towards tagging event chronologies are also described.
Cite
CITATION STYLE
APA
Mani, I., & Wilson, G. (2000). Robust temporal processing of news. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (Vol. 2000-October). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1075218.1075228
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