Paper: Improving Pronoun Resolution By Incorporating Coreferential Information Of Candidates

ACL ID P04-1017
Title Improving Pronoun Resolution By Incorporating Coreferential Information Of Candidates
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2004
Authors

Coreferential information of a candidate, such as the properties of its antecedents, is important for pronoun resolution because it re ects the salience of the candidate in the local discourse. Such information, however, is usually ignored in previous learning-based systems. In this paper we present a trainable model which incorporates coreferential information of candidates into pro- noun resolution. Preliminary experiments show that our model will boost the resolution perfor- mance given the right antecedents of the can- didates. We further discuss how to apply our model in real resolution where the antecedents of the candidate are found by a separate noun phrase resolution module. The experimental re- sults show that our model still achieves better performance than the baseline.