An associative method for Lesk-based word sense disambiguation

Abstract One of the most important current problems in natural language processing is word sense disambiguation (WSD). WSD consists of identifying the correct sense of the words in a given text. In this work, we present a novel method for automatic WSD based on the simplified-Lesk algorithm. The pro...

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Autores principales: Torres-Ramos,Sulema, Román-Godínez,Israel, Mendizabal-Ruiz,E. Gerardo
Lenguaje:English
Publicado: Pontificia Universidad Católica de Valparaíso. Instituto de Literatura y Ciencias del Lenguaje 2017
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-09342017000200287
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spelling oai:scielo:S0718-093420170002002872017-07-27An associative method for Lesk-based word sense disambiguationTorres-Ramos,SulemaRomán-Godínez,IsraelMendizabal-Ruiz,E. Gerardo Computational linguistics word sense disambiguation simplified-Lesk algorithm associative memories Alpha-Beta associative memories Abstract One of the most important current problems in natural language processing is word sense disambiguation (WSD). WSD consists of identifying the correct sense of the words in a given text. In this work, we present a novel method for automatic WSD based on the simplified-Lesk algorithm. The proposed method employs Alpha-Beta associative memories for the relatedness computation between the senses of the ambiguous words and its context. The performance of this method was evaluated in terms of precision, recall, and F-score, using the semantically annotated corpora Senseval-2, Semcor, and Semeval-2007. The results show the advantages of the proposed method compared with other Lesk-based state-of-the-art methods.info:eu-repo/semantics/openAccessPontificia Universidad Católica de Valparaíso. Instituto de Literatura y Ciencias del LenguajeRevista signos v.50 n.94 20172017-08-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-09342017000200287en
institution Scielo Chile
collection Scielo Chile
language English
topic Computational linguistics
word sense disambiguation
simplified-Lesk algorithm
associative memories
Alpha-Beta associative memories
spellingShingle Computational linguistics
word sense disambiguation
simplified-Lesk algorithm
associative memories
Alpha-Beta associative memories
Torres-Ramos,Sulema
Román-Godínez,Israel
Mendizabal-Ruiz,E. Gerardo
An associative method for Lesk-based word sense disambiguation
description Abstract One of the most important current problems in natural language processing is word sense disambiguation (WSD). WSD consists of identifying the correct sense of the words in a given text. In this work, we present a novel method for automatic WSD based on the simplified-Lesk algorithm. The proposed method employs Alpha-Beta associative memories for the relatedness computation between the senses of the ambiguous words and its context. The performance of this method was evaluated in terms of precision, recall, and F-score, using the semantically annotated corpora Senseval-2, Semcor, and Semeval-2007. The results show the advantages of the proposed method compared with other Lesk-based state-of-the-art methods.
author Torres-Ramos,Sulema
Román-Godínez,Israel
Mendizabal-Ruiz,E. Gerardo
author_facet Torres-Ramos,Sulema
Román-Godínez,Israel
Mendizabal-Ruiz,E. Gerardo
author_sort Torres-Ramos,Sulema
title An associative method for Lesk-based word sense disambiguation
title_short An associative method for Lesk-based word sense disambiguation
title_full An associative method for Lesk-based word sense disambiguation
title_fullStr An associative method for Lesk-based word sense disambiguation
title_full_unstemmed An associative method for Lesk-based word sense disambiguation
title_sort associative method for lesk-based word sense disambiguation
publisher Pontificia Universidad Católica de Valparaíso. Instituto de Literatura y Ciencias del Lenguaje
publishDate 2017
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-09342017000200287
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