Paper: A Machine Learning Approach To Pronoun Resolution In Spoken Dialogue

ACL ID P03-1022
Title A Machine Learning Approach To Pronoun Resolution In Spoken Dialogue
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2003
Authors

We apply a decision tree based approach to pronoun resolution in spoken dialogue. Our system deals with pronouns with NP- and non-NP-antecedents. We present a set of features designed for pronoun resolu- tion in spoken dialogue and determine the most promising features. We evaluate the system on twenty Switchboard dialogues and show that it compares well to Byron’s (2002) manually tuned system.