In this paper we explore the use of semantic classes in an in- formation retrieval system in order to improve the results in the Robust- WSD task at CLEF 2009. Thus, we use two different ontologies of se- mantic classes (WordNet domain and Basic Level Concepts) in order to re-rank the retrieved documents and obtain better recall and preci- sion. Finally, we implement a new method to weight the expanded terms taking into account the weights of the original query terms and their rela- tions in WordNet with respect to the new ones which have demonstrated to improve the results.
['Javi Fernández', 'Rubén Izquierdo', 'José M. Gómez']
Alicante at CLEF 2009 Robust-WSD Task ?