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 (Fmeasure) against hand-annotated data. Some initial steps towards tagging event chronologies are also described.
An annotation scheme to represent dates and time, based on a variety of hand-crafted and machine-discovered rules, was proposed in REF .
Robust Temporal Processing Of News
Annual Meeting Of The Association For Computational Linguistics
Computer Science