UMCC-DLSI: Integrative Resource for Disambiguation Task

Abstract

This paper describes the UMCC-DLSI system in SemEval-2010 task number 17 (All-words Word Sense Disambiguation on Specific Domain). The main purpose of this work is to evaluate and compare our computational resource of WordNet's mappings using 3 different methods: Relevant Semantic Tree, Relevant Semantic Tree 2 and an Adaptation of k-clique's Technique. Our proposal is a non-supervised and knowledge-based system that uses Domains Ontology and SUMO.