Inferring Temporal Ordering of Events in News
نویسندگان
چکیده
This paper describes a domain-independent, machine-learning based approach to temporally anchoring and ordering events in news. The approach achieves 84.6% accuracy in temporally anchoring events and 75.4% accuracy in partially ordering them.
منابع مشابه
Temporally Anchoring and Ordering Events in News
This paper describes a domain-independent approach to temporally anchoring and ordering events in news. The focus is on event-event and event-time linking. The approach involves mixed-initiative corpus annotation, with automatic preprocessing to identify clause structure, tense, aspect, and temporal adverbials. A controlled experiment reveals the capabilities of humans in ordering events in new...
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