Abstract
Random Indexing is a vector-based technique for extracting semantically similar words from the co-occurrence statistics of words in large text data. We have applied the technique on aligned bilingual corpora, producing French-English and Swedish-English thesauri that we have used for cross-lingual query expansion. In this paper, we report on our CLEF 2001 experiments on French-to-English and Swedish-to-English query expansion.
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References
Deerwester, S., Dumais, S. T., Furnas, G. W., Landauer, T. K., Harshman, R.: Indexing by Latent Semantic Analysis. Journal of the Society for Information Science, 41(6) (1990) 391–407
Kanerva, P., Kristofersson, J., Holst, A.: Random Indexing of Text Samples for Latent Semantic Analysis. In: Gleitman, L.R., Josh, A.K. (eds.): Proceedings of the 22nd Annual Conference of the Cognitive Science Society. Erlbaum, New Jersey (2000) 1036
Karlgren, J., Sahlgren, M.: From Words to Understanding. In: Kanerva et al. (eds.): Foundations of Real World Intelligence. CSLI publications, Stanford (2001) 294–308
Landauer, T. K., Dumais, S. T.: A Solution to Plato’s Problem: The Latent Semantic Analysis Theory of Acquisition, Induction and Representation of Knowledge. Psychological Review, 104(2) (1997) 211–240
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© 2002 Springer-Verlag Berlin Heidelberg
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Sahlgren, M., Karlgren, J. (2002). Vector-Based Semantic Analysis Using Random Indexing for Cross-Lingual Query Expansion. In: Peters, C., Braschler, M., Gonzalo, J., Kluck, M. (eds) Evaluation of Cross-Language Information Retrieval Systems. CLEF 2001. Lecture Notes in Computer Science, vol 2406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45691-0_14
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DOI: https://doi.org/10.1007/3-540-45691-0_14
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