Similarity-Based Methods For Word Sense Disambiguation

Simple item page
dc.creatorDagan, Ido
dc.creatorLee, Lillian
dc.creatorPereira, Fernando
dc.date1997-08-18
dc.date.accessioned2026-07-07T09:10:57Z
dc.date.available2026-07-07T09:10:57Z
dc.descriptionWe 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.
dc.description7 pages, uses psfig.tex and aclap.sty
dc.identifierhttps://arxiv.org/abs/cmp-lg/9708010
dc.identifierhttp://arxiv.org/abs/cmp-lg/9708010
dc.identifierProceedings of the 35th ACL/8th EACL, pp 56--63
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/151515
dc.subjectComputation and Language
dc.titleSimilarity-Based Methods For Word Sense Disambiguation
dc.typetext

Files

Collections

arXiv