Similarity-Based Methods For Word Sense Disambiguation

Details Similarity-Based Methods For Word Sense Disambiguation Similarity-Based Methods For Word Sense Disambiguation

1997-08-18

arxiv.org/abs/cmp-lg/9708010v1

Proceedings of the 35th ACL/8th EACL, pp 56--63

Computer Science

Computation and Language

7 pages, uses psfig.tex and aclap.sty

Scientific paper

We compare four similarity-based estimation methods against back-off and maximum-likelihood estimation methods on a pseudo-word sense disambiguation task in which we controlled for both unigram and bigram frequency. The similarity-based methods 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.

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