Paper: EM Works for Pronoun Anaphora Resolution

ACL ID E09-1018
Title EM Works for Pronoun Anaphora Resolution
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2009

We present an algorithm for pronoun- anaphora (in English) that uses Expecta- tion Maximization (EM) to learn virtually all of its parameters in an unsupervised fashion. While EM frequently fails to find good models for the tasks to which it is set, in this case it works quite well. We have compared it to several systems avail- able on the web (all we have found so far). Our program significantly outperforms all of them. The algorithm is fast and robust, and has been made publically available for downloading.