期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2009
卷号：2009
出版社：ACL Anthology
摘要：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.
