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ACL
1997

Similarity-Based Methods for Word Sense Disambiguation

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Similarity-Based Methods for Word Sense Disambiguation
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.
Ido Dagan, Lillian Lee, Fernando C. N. Pereira
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 1997
Where ACL
Authors Ido Dagan, Lillian Lee, Fernando C. N. Pereira
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