EM works for pronoun anaphora resolution

Eugene Charniak, Micha Elsner
2009 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics on - EACL '09   unpublished
We present an algorithm for pronounanaphora (in English) that uses Expectation 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 available 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.
doi:10.3115/1609067.1609083 fatcat:mttbg2lyenarnlbqe7tkahtvya