Inferring Temporal Ordering of Events in News

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. 1 2

• Type: Conference
• Year: 2003
• Where: NAACL
• Authors: Inderjeet Mani, Barry Schiffman, Jianping Zhang
• Keywords: Anchoring, Machine-learning Based Approach, NAACL 2003, NAACL 2007