Criação automática de uma wordnet com medidas de confiança associadas

Abstract

In a wordnet, concepts are typically represented as groups of words, commonly known as synsets, and each membership of a word to a synset denotes a di erent sense of that word. However, since word senses are complex entities, without wellde ned boundaries, we suggest to handle them less arti cially, by representing them as fuzzy objects, where each word has its membership degree, which can be related to the con dence on using the word to denote the concept conveyed by the synset. We thus propose an approach to discover synsets from a synonymy network, ideally redundant and extracted from several broad-coverage sources. The more synonymy relations there are between two words, the higher the con dence on the semantic equivalence of at least one of their senses. The proposed approach was applied to a network extracted from three Portuguese dictionaries and resulted in a large set of fuzzy synsets. Besides describing this approach and illustrating its results, we rely on three evaluations { comparison against a handcrafted Portuguese thesaurus;