Combined lesk-based method for words senses disambiguation

Yoel Ledo-Mezquita, Grigori Sidorov, Vicente Cubells

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Word sense disambiguation (WSD) is a linguistically-based mechanism for defining automatically the correct sense of a word in the context. Lesk-based methods use context information for WSD. In this paper, we propose a method of word sense disambiguation based on the combination of the original Lesk method and the simplified one with additional application of large lexical resources, like synonym dictionaries, ontologies, etc., for calculations of sense plausibility. We present experimental results that show that our method has better precision than the baseline Lesk-based methods.

Original languageEnglish
Title of host publicationProceedings - 15th International Conference on Computing, CIC 2006
Pages105-108
Number of pages4
DOIs
StatePublished - 2006
Event15th International Conference on Computing, CIC 2006 - Mexico City, Mexico
Duration: 21 Nov 200624 Nov 2006

Publication series

NameProceedings - 15th International Conference on Computing, CIC 2006

Conference

Conference15th International Conference on Computing, CIC 2006
Country/TerritoryMexico
CityMexico City
Period21/11/0624/11/06

Fingerprint

Dive into the research topics of 'Combined lesk-based method for words senses disambiguation'. Together they form a unique fingerprint.

Cite this