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.
Mani and Wilson REF resolve temporal expressions by hand-crafted and machinelearnt rules.
Robust Temporal Processing Of News
Annual Meeting Of The Association For Computational Linguistics
Computer Science