Lapata, M. and A. Lascarides [2004] Inferring Sentence-internal Temporal Relations, in Proceedings of the North American Chapter of the Assocation of Computational Linguistics (NAACL), pp153--160.
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:2004,
author = {Mirella Lapata and Alex Lascarides},
year = {2004},
title = {Inferring Sentence-Internal Temporal Relations},
booktitle = {Proceedings of the North American Chapter of the Association for Computational Linguistics},
pages = {153--160}
}