Abstract
This paper presents a new method to enrich semantically WordNet with categories from general domain classification systems. The method is performed in two consecutive steps. First, a lexical knowledge word sense disambiguation process. Second, a set of rules to select the main concepts as representatives for each category. The method has been applied to label automaticallyWordNet synsets with Subject Codes from a standard news agencies classification system. Experimental results show than the proposed method achieves more than 95% accuracy selecting the main concepts for each category.
Cite
CITATION STYLE
Montoyo, A., Palomar, M., & Rigau, G. (2001). Method for WordNet enrichment using WSD. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2166, pp. 180–186). Springer Verlag. https://doi.org/10.1007/3-540-44805-5_23
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