Similarity-Based Methods For Word Sense Disambiguation

Fernando Pereira (AT&T Labs -- Research); Ido Dagan (Bar-Ilan University); Lillian Lee (Cornell University)

arxiv: cmp-lg/9708010 · v1 · submitted 1997-08-18 · cmp-lg · cs.CL

Similarity-Based Methods For Word Sense Disambiguation

Ido Dagan (Bar-Ilan University) , Lillian Lee (Cornell University) , Fernando Pereira (AT&T Labs -- Research) This is my paper

classification cmp-lg cs.CL

keywords methodssimilarity-baseddisambiguationestimationsensetaskback-offbetter

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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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