Expansión de Contexto para Desambiguación del Sentido de la Palabra en Dominios Específicos
(Context Expansion for Domain-Specific Word Sense Disambiguation)
Franco Rojas Lopez (email@example.com)1, Ivan Lopez Arevalo (firstname.lastname@example.org)2, David Pinto (email@example.com)3, Victor J. Sosa Sosa (firstname.lastname@example.org)2
1Universidad Politécnica Metropolitana de Puebla2Cinvestav - Tamaulipas3Benemérita Universidad Autónoma de Puebla
This paper appears in: Revista IEEE América Latina
Publication Date: March 2015
Volume: 13, Issue: 3
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.
Word sense disambiguation, specific domain, synset, WordNet, context expansion
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