An associative method for Lesk-based word sense disambiguation
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| Format: | Artículo científico |
| Langue: | en |
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Pontificia Universidad Católica de Valparaíso
2017
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| _version_ | 1876486032793272320 |
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| author | Sulema Torres-Ramos |
| author_facet | Sulema Torres-Ramos |
| contents | An associative method for Lesk-based word sense disambiguation Sulema Torres-Ramos Israel Román-Godínez E. Gerardo Mendizabal-Ruiz Lengua y Literatura Alpha simplified Lesk algorithm associative memories Beta associative memories 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 wa s 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. 2017 artículo científico 0035-0451 https://www.redalyc.org/articulo.oa?id=157052587007 en http://www.redalyc.org/revista.oa?id=1570 Revista Signos application/pdf Pontificia Universidad Católica de Valparaíso Revista Signos (Chile) Num.94 Vol.50 |
| format | Artículo científico |
| id | redalyc_157052587007 |
| institution | Redalyc |
| language | en |
| publishDate | 2017 |
| publisher | Pontificia Universidad Católica de Valparaíso |
| spellingShingle | An associative method for Lesk-based word sense disambiguation Sulema Torres-Ramos Lengua y Literatura Alpha simplified Lesk algorithm associative memories Beta associative memories An associative method for Lesk-based word sense disambiguation Sulema Torres-Ramos Israel Román-Godínez E. Gerardo Mendizabal-Ruiz Lengua y Literatura Alpha simplified Lesk algorithm associative memories Beta associative memories 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 wa s 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. 2017 artículo científico 0035-0451 https://www.redalyc.org/articulo.oa?id=157052587007 en http://www.redalyc.org/revista.oa?id=1570 Revista Signos application/pdf Pontificia Universidad Católica de Valparaíso Revista Signos (Chile) Num.94 Vol.50 |
| title | An associative method for Lesk-based word sense disambiguation |
| topic | Lengua y Literatura Alpha simplified Lesk algorithm associative memories Beta associative memories |
| url | https://www.redalyc.org/articulo.oa?id=157052587007 |