Expansión de Contexto para Desambiguación del Sentido de la Palabra en Dominios Específicos (Context Expansion for Domain-Specific Word Sense Disambiguation)

Franco Rojas Lopez (frojas@tamps.cinvestav.mx)1, Ivan Lopez Arevalo (ilopez@tamps.cinvestav.mx)2, David Pinto (dpinto@cs.buap.mx)3, Victor J. Sosa Sosa (vjsosa@tamps.cinvestav.mx)2


1Universidad Politécnica Metropolitana de Puebla
2Cinvestav - Tamaulipas
3Benemérita Universidad Autónoma de Puebla

This paper appears in: Revista IEEE América Latina

Publication Date: March 2015
Volume: 13,   Issue: 3 
ISSN: 1548-0992


Abstract:
Two novel techniques based on term expansion for domain-specific Word Sense Disambiguation are presented in this paper. A list of terms correlated with the ambiguous word is obtained by means of correlation methods such as Pointwise Mutual Information and Chi-square. The list of correlated terms is used for expanding the context in which an ambiguous word occurs, thus leading to a better number of terms which may be further used for determining the correct sense of the target ambiguous word. The proposed method has been tested in domain-specific corpora (Finance and Sports) and in one balanced corpus, the British National Corpus (BNC). The obtained results for domain-specific corpora are competitive (Finance) and ever better (Sports and BNC) than those reported in previous works.

Index Terms:
Word sense disambiguation, specific domain, synset, WordNet, context expansion   


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