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Nueva Propuesta de Desambiguación de Sentidos de Palabras para nombres en un sistema de Búsqueda de Respuestas

This paper studies the influence of a Word Sense Disambiguation algorithm for nouns on AliQAn, the Question Answering with which we have participated in the CLEF-2005. Applying the traditional WSD decreases the performance in 4.7% on the Mean Reciprocal Rank (MRR). To solve this problem, we propose two different uses of WSD: (1) to choose a set of synsets instead of the traditional use of WSD, in which only one synset is chosen; (2) to disambiguate the words not present in EuroWordNet (EWN). Using our proposal of WSD the MRR increases a 6.3% with regard to the baseline without WSD. Furthermore, our proposal of WSD increases the MRR with regard to the traditional use of WSD in an 11%. Finally, the implementation of our approach of WSD is computationally efficient by means of a preprocessing of EWN.