Word Sense Disambiguation: A Graph-Based Approach Using N-Cliques Partitioning Technique

摘要

This paper presents a new approach to solve semantic ambiguity using an adaptation of the Cliques Partitioning Technique to N distance. This new approach is able to identify sets of strongly related senses using a multidimensional graph based on different resources: WordNet Domains, SUMO and WordNet Affects. As a result, each Clique will contain relevant information used to extract the correct sense of each word. In order to evaluate our approach there have been conducted several experiments using the data set of the "English All Words" task of Senseval-2 obtaining promising results.