Paper: Robust Temporal Processing Of News

ACL ID P00-1010
Title Robust Temporal Processing Of News
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2000
Authors

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.