期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2010
卷号：2010
出版社：ACL Anthology
摘要：Word sense disambiguation (WSD)
systems based on supervised learning
achieved the best performance in SensEval
and SemEval workshops. However,
there are few publicly available open
source WSD systems. This limits the use
of WSD in other applications, especially
for researchers whose research interests
are not in WSD.
In this paper, we present IMS, a supervised
English all-words WSD system. The flexible
framework of IMS allows users to integrate
different preprocessing tools, additional
features, and different classifiers.
By default, we use linear support vector
machines as the classifier with multiple
knowledge-based features. In our implementation,
IMS achieves state-of-the-art
results on several SensEval and SemEval
tasks.
