Abstract
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.
Cite
CITATION STYLE
APA
Mani, I., Schiffman, B., & Zhang, J. (2003). Inferring temporal ordering of events in news. In Proceedings of the 2003 Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics - Short Papers, HLT-NAACL 2003 (pp. 55–57). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1073483.1073502
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
Already have an account? Sign in
Sign up for free