Abstract
The use of domain-specific metadata (subject keywords) is tested for monolingual and bilingual retrieval on the GIRT social science collection. A new technique, Entry Vocabulary Modules, which adds subject keywords selected from the controlled vocabulary to the query, has been tested. As in previous years, we compare our techniques of thesaurus matching and Entry Vocabulary Modules to simple machine translation techniques in bilingual retrieval. A combination of machine translation and thesaurus matching achieves better results, whereas the introduction of Entry Vocabulary Modules has negligent impact on the retrieval results. Retrieval results for the German and English GIRT collection for monolingual as well as bilingual retrieval (with English and German as query languages) will be represented.
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References
Chen, A., Cooper, W., Gey, F.: Full text retrieval based on probabilistic equations with coefficients fitted by logistic regression. In: Harman, D.K. (ed.) The Second Text Retrieval Conference (TREC-2), March 1994, pp. 57–66 (1994)
Plaunt, C., Norgard, B.A.: An Association-Based Method for Automatic Indexing with Controlled Vocabulary. Journal of the American Society for Information Science 49(10), 888–902 (1998)
Gey, F., et al.: Advanced Search Technology for Unfamiliar Metadata. In: Proceedings of the Third IEEE Metadata Conference, Bethesda, Maryland (April 1999)
Petras, V., Perelman, N., Gey, F.: Using Thesauri in Cross-Language Retrieval of German and French Indexed Collections. In: Peters, C., Braschler, M., Gonzalo, J., Kluck, M. (eds.) CLEF 2001. LNCS, vol. 2406, pp. 349–362. Springer, Heidelberg (2002)
Petras, V., Perelman, N., Gey, F.: UC Berkeley at CLEF-2003 – Russian Language Experiments and Domain-Specific Retrieval. In: Peters, C., Braschler, M., Gonzalo, J. (eds.) CLEF 2002. LNCS, vol. 2785, pp. 401–411. Springer, Heidelberg (2003)
Schott, H.: Thesaurus for the Social Sciences, vol. 1 (German-English), vol. 2 (English-German). Informations-Zentrum Sozialwissenschaften, Bonn (2000)
Chen, A., Gey, F.: Multilingual Information Retrieval Using Machine Translation, Relevance Feedback and Decompounding. Information Retrieval 7(1-2), 149–182 (2004)
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Petras, V. (2005). GIRT and the Use of Subject Metadata for Retrieval. In: Peters, C., Clough, P., Gonzalo, J., Jones, G.J.F., Kluck, M., Magnini, B. (eds) Multilingual Information Access for Text, Speech and Images. CLEF 2004. Lecture Notes in Computer Science, vol 3491. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11519645_31
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DOI: https://doi.org/10.1007/11519645_31
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