Paper: Similarity-Based Methods For Word Sense Disambiguation

ACL ID P97-1008
Title Similarity-Based Methods For Word Sense Disambiguation
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1997
Authors

We compare four similarity-based esti- mation methods against back-off and maximum-likelihood estimation meth- ods on a pseudo-word sense disam- biguation task in which we controlled for both unigram and bigram fre- quency. The similarity-based meth- ods perform up to 40% better on this particular task. We also conclude that events that occur only once in the training set have major impact on similarity-based estimates.