In this paper we present a new method to improve the coverage of Passage Retrieval (PR) systems when these systems are employed for the Question Answering (QA) tasks. The ranking of passages obtained by the PR system is rearranged to emphasize those passages with more probability to contain the answer. The new ranking is based on finding the n-gram structures of the question that are presented in the passage, and the weight of the passages increases when they contain longer n-grams structures of the question. The results we present show that the application of this method improves notably the coverage of the classical PR system based on the Space Vectorial Model.We would like to thank CONACyT for partially supporting this work under the grant 43990A-1 as well as R2D2 CICYT (TIC2003-07158-C04-03) and ICT EU-India (ALA/95/23/2003/077-054) research projects. 1 http://clef.iei.pi.cnr.it/ V. Matoušek et al. (Eds.): TSD 2005, LNAI 3658, pp. 443-450, 2005. c Springer-Verlag Berlin Heidelberg 2005 444 José Manuel Gómez Soriano et al.
Abstract. The disambiguation of verbs is usually considered to be more difficult with respect to other part-of-speech categories. This is due both to the high polysemy of verbs compared with the other categories, and to the lack of lexical resources providing relations between verbs and nouns. One of such resources is WordNet, which provides plenty of information and relationships for nouns, whereas it is less comprehensive with respect to verbs. In this paper we focus on the disambiguation of verbs by means of Support Vector Machines and the use of WordNet-extracted features, based on the hyperonyms of context nouns.
Abstract. Cluster analysis of dialogs with transport directory service allows revealing the typical scenarios of dialogs, which is useful for designing automatic dialog systems. We show how to parameterize dialogs and how to control the process of clustering. The parameters include both data of transport service and features of passenger's behavior. Control of clustering consists in manipulating the parameter's weights and checking stability of the results. This technique resembles Makagonov's approach to the analysis of dweller's complaints to city administration. We shortly describe B. Stein's new MajorClust method and demonstrate its work on real person-to-person dialogs provided by Spanish railway service.
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