Abstract
In this paper we explore the use of semantic classes in an existing information retrieval system in order to improve its results. Thus, we use two different ontologies of semantic classes (WordNet domain and Basic Level Concepts) in order to re-rank the retrieved documents and obtain better recall and precision. Finally, we implement a new method for weighting the expanded terms taking into account the weights of the original query terms and their relations in WordNet with respect to the new ones (which have demonstrated to improve the results). The evaluation of these approaches was carried out in the CLEF Robust-WSD Task, obtaining an improvement of 1.8% in GMAP for the semantic classes approach and 10% in MAP employing the WordNet term weighting approach.
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References
Aguirre, E., Di Nunzio, G.M., Mandl, T., Otegi, A.: Clef 2009 ad hoc track overview: Robust-wsd task. In: Peters, C., et al. (eds.) CLEF 2009 Workshop, Part I, Corfou, Greece. LNCS, vol. 6241, pp. 36–49. Springer, Heidelberg (2010)
Amati, G., Van Rijsbergen, C.J.: Probabilistic models of information retrieval based on measuring the divergence from randomness. ACM Trans. Inf. Syst. 20(4), 357–389 (2002)
Cover, T.M., Thomas, J.A.: Elements of information theory. Wiley-Interscience, New York (1991)
Fellbaum, C. (ed.): WordNet. An Electronic Lexical Database. The MIT Press, Cambridge (1998)
Fernández, J., Izquierdo, R., Gómez, J.M.: Alicante at clef 2009 robust-wsd task. In: Working notes of Cross Language Evaluation Forum 2008, Corfou, Greece, CLEF (2009)
Izquierdo, R., Suárez, A., Rigau, G.: Exploring the automatic selection of basic level concepts. In: Angelova, G., et al. (eds.) International Conference Recent Advances in Natural Language Processing, Borovets, Bulgaria, pp. 298–302 (2007)
Izquierdo, R., Suárez, A., Rigau, G.: An empirical study on class-based word sense disambiguation. In: EACL, pp. 389–397. The Association for Computer Linguistics (2009)
Macdonald, C., He, B., Plachouras, V., Ounis, I.: University of glasgow at trec 2005: Experiments in terabyte and enterprise tracks with terrier. In: TREC (2005)
Magnini, B., Cavaglià, G.: Integrating subject field codes into wordnet. In: Proceedings of LREC, Athens, Greece (2000)
Niles, I., Pease, A.: Towards a standard upper ontology. In: Weltyand, C., Smith, B. (eds.) Proceedings of the 2nd International Conference on Formal Ontology in Information Systems (FOIS 2001), pp. 17–19 (2001)
Peréz Agüera, J.R., Zaragoza, H.: Query clauses and term independence. In: Peters, C., Deselaers, T., Ferro, N., Gonzalo, J., Jones, G.J.F., Kurimo, M., Mandl, T., Peñas, A., Petras, V. (eds.) CLEF 2008. LNCS, vol. 5706, pp. 138–145. Springer, Heidelberg (2009)
Plachouras, V., He, B., Ounis, I.: University of glasgow at trec 2004: Experiments in web, robust, and terabyte tracks with terrier. In: Voorhees, E.M., Buckland, L.P., Voorhees, E.M., Buckland, L.P. (eds.) TREC, NIST (2004)
Pradhan, S., Loper, E., Dligach, D., Palmer, M.: Semeval-2007 task-17: English lexical sample, srl and all words. In: Proceedings of the Fourth International Workshop on Semantic Evaluations (SemEval 2007), Prague, Czech Republic, June 2007, pp. 87–92. Association for Computational Linguistics (June 2007)
Robertson, S.E., Walker, S.: Some simple effective approximations to the 2-poisson model for probabilistic weighted retrieval. In: SIGIR 1994: Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 232–241. Association for Computational Linguistics (1994)
Snow, R., Prakash, S., Jurafsky, D., Ng, A.: Learning to merge word senses. In: Proceedings of Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pp. 1005–1014 (2007)
Snyder, B., Palmer, M.: The english all-words task. In: Mihalcea, R., Edmonds, P. (eds.) Senseval-3: Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text, Barcelona, Spain, pp. 41–43. Association for Computational Linguistics (July 2004)
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Fernández, J., Izquierdo, R., Gómez, J.M. (2010). Using WordNet Relations and Semantic Classes in Information Retrieval Tasks. In: Peters, C., et al. Multilingual Information Access Evaluation I. Text Retrieval Experiments. CLEF 2009. Lecture Notes in Computer Science, vol 6241. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15754-7_19
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DOI: https://doi.org/10.1007/978-3-642-15754-7_19
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