Lapata, Mirella and Alex Lascarides. 2004. Inferring Sentence-internal Temporal Relations. In Proceedings of the North American Chapter of the Assocation of Computational Linguistics, 153-160. Boston.
In this paper we propose a data intensive approach for inferring sentence-internal temporal relations, which relies on a simple probabilistic model and assumes no manual coding. We explore various combinations of features, and evaluate performance against a gold-standard corpus and human subjects performing the same task. The best model achieves 70.7% accuracy in inferring the temporal relation between two clauses and 97.4% accuracy in ordering them, assuming that the temporal relation is known.
@InProceedings{Lapata:Lascarides:04,
author = {Mirella Lapata and Alex Lascarides},
title = {Inferring Sentence-internal Temporal
Relations},
crossref = {NAACL:04},
pages = {153--160}
}
@Proceedings{NAACL:04,
title = {Proceedings of the Human Language Technology Conference of the North
American Chapter of the Association for Computational Linguistics},
booktitle = {Proceedings of the Human Language Technology Conference of the North
American Chapter of the Association for Computational Linguistics},
year = 2004,
address = {Boston}
}