Abstract
In languages that use compound words such as Swedish, it is often neccessary to split compound words when indexing documents or queries. One of the problems is that it is difficult to find constituents that express a concept similar to that expressed by the compound. The approach taken here is to expand a query with the leading constituents of the compound words. Every query term is truncated so as to increase recall by hopefully finding other compounds with the leading constituent as prefix. This approach increases recall in a rather uncontrolled way, so we use a Boolean quorum-level search method to rank documents both according to a tf-idf factor but also to the number of matching Boolean combinations.
The Boolean combinations performed relatively well, taking into consideration that the queries were very short (maximum of five search terms). Also included in this paper are the results of two other methods we are currently working on in our lab; one for re-ranking search results on the basis of stylistic analysis of documents, and one for dimensionality reduction using Random Indexing.
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References
Folk, M.J., Zoellick, B., Riccardi, G.: File Structures: An Object-Oriented Approach with C++, 3rd edn. Addison-Wesley, Reading (1998)
Kanerva, P., Kristofersson, J., Holst, A.: Random indexing of text samples for latent semantic analysis. In: Proceedings of the 22nd Annual Conference of the Cognitive Science Society, p. 1036, Erlbaum (2000)
Karlgren, J., Sahlgren, M.: From words to understanding. In: Uesaka, Y., Kanerva, P., Asoh, H. (eds.) Foundations of Real World Intelligence, pp. 294–308. CSLI publications, Stanford (2001)
Kaski, S.: Dimensionality reduction by random mapping: Fast similarity computation for clustering. In: Proceedings of the IJCNN 1998, International Joint Conference on Neural Networks, pp. 413–418. IEEE Service Center, Piscataway (1998)
Sahlgren, M., Karlgren, J., Cöster, R., Järvinen, T.: SICS at CLEF 2002: Automatic query expansion using random indexing. In: Peters, C., Braschler, M., Gonzalo, J. (eds.) CLEF 2002. LNCS, vol. 2785. Springer, Heidelberg (2003)
Salton, G., McGill, M.: Introduction to Modern Information Retrieval. McGraw-Hill, New York (1983)
Singhal, A., Buckley, C., Mitra, M.: Pivoted document length normalization. In: Proceedings of the 19th International Conference on Research and Development in Information Retrieval, pp. 21–29 (1996)
Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann, San Francisco (2000)
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© 2004 Springer-Verlag Berlin Heidelberg
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Cöster, R., Sahlgren, M., Karlgren, J. (2004). Selective Compound Splitting of Swedish Queries for Boolean Combinations of Truncated Terms. In: Peters, C., Gonzalo, J., Braschler, M., Kluck, M. (eds) Comparative Evaluation of Multilingual Information Access Systems. CLEF 2003. Lecture Notes in Computer Science, vol 3237. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30222-3_32
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DOI: https://doi.org/10.1007/978-3-540-30222-3_32
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