Similarity-Based Methods For Word Sense Disambiguation (1997)
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by
Ido Dagan
,
Lillian Lee
,
Fernando Pereira
| Venue: | In Proceedings of the Association for Computational Linguistics |
| Citations: | 43 - 2 self |
BibTeX
@INPROCEEDINGS{Dagan97similarity-basedmethods,
author = {Ido Dagan and Lillian Lee and Fernando Pereira},
title = {Similarity-Based Methods For Word Sense Disambiguation},
booktitle = {In Proceedings of the Association for Computational Linguistics},
year = {1997},
pages = {56--63}
}
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Abstract
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.
