Abstract
As Internet resources become accessible to more and more countries, there is a need to develop efficient methods for information retrieval across languages. In the present paper, we focus on query expansion techniques to improve the effectiveness of an information retrieval. A combination to a dictionary-based translation and statistical-based disambiguation is indispensable to overcome translation’s ambiguity. We propose a model using multiple sources for query reformulation and expansion to select expansion terms and retrieve information needed by a user. Relevance feedback, thesaurus-based expansion, as well as a new feedback strategy, based on the extraction of domain keywords to expand user’s query, are introduced and evaluated. We tested the effectiveness of the proposed combined method, by an application to a French-English Information Retrieval. Experiments using CLEF data collection proved a great effectiveness of the proposed combined query expansion techniques.
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References
Ballesteros, L. and Croft, W. B.: Phrasal Translation and Query Expansion Techniques for Cross-Language Information Retrieval. In Proceedings of the 20th ACM SIGIR Conference (1997) 84–91.
Dunning, T.: Accurate Methods for the Statistics of Surprise and Coincidence. Computational Linguistics, vol.19. No.1 (1993) 61–74.
Loupy, C., Bellot, P., El-Beze, M. and Marteau, P.-F.: Query Expansion and Classification of Retrieved Documents. In Proceedings of TREC-7. NIST Special Publication (1998).
Richardson, R., Smeaton, A.F.: Using WordNet in Knowledge-based Approach to Information Retrieval. In Proceedings BCS-IRSG Colloquium, CREWE (1995).
Sadat, F., Maeda, A., Yoshikawa, M. and Uemura, S.: Statistical Query Disambiguation, Translation and Expansion in Cross-Language Information Retrieval. In Proceedings of the LREC 2002 Workshop on Using Semantics for Information Retrieval and Filtering: State of the Art and Future Research, Las Palmas, Spain, May-June (2002).
Sadat, F., Maeda, A., Yoshikawa, M. and Uemura, S.: Query Expansion Techniques for the CLEF Bilingual Track. In Proceedings of the CLEF 2001 Cross-Language System Evaluation Campaign (2001) 99–104.
Salton, G and McGill, M.: Introduction to Modern Information Retrieval. New York: McGraw-Hill (1983).
Yamabana, K., Muraki, K., Doi, S. and Kamei, S.: A Language Conversion Front-End for Cross-Linguistic Information Retrieval. In Proceedings of SIGIR Workshop on Cross-Linguistic Information Retrieval, Zurich, Switzerland (1996).
Voorhees, M. E.: Query Expansion using Lexical-Semantic Relations. In Proceedings of the 17th ACM SIGIR Conference (1994) 61–69.
Vossen, P.: EuroWordNet, A Multilingual Database for Information Retrieval. In Proceedings of the DELOS Workshop on Cross-language Information Retrieval, Zurich (1997).
Vossen, P.: EuroWordNet, A Multilingual Database with Lexical Semantic Networks. The Kluwer Academic Publishers (1998).
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Sadat, F., Yoshikawa, M., Uemura, S. (2002). Cross-Language Information Retrieval Using Multiple Resources and Combinations for Query Expansion. In: Yakhno, T. (eds) Advances in Information Systems. ADVIS 2002. Lecture Notes in Computer Science, vol 2457. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36077-8_11
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DOI: https://doi.org/10.1007/3-540-36077-8_11
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