Abstract
Vector space techniques can be used for extracting semantically similar words from the co-occurrence statistics of words in large text data collections. We have used a technique called Random Indexing to accumulate context vectors for Swedish, French and Italian. We have then used the context vectors to perform automatic query expansion. In this paper, we report on our CLEF 2002 experiments on Swedish, French and Italian monolingual query expansion. © Springer-Verlag Berlin Heidelberg 2003.
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CITATION STYLE
Sahlgren, M., Karlgren, J., Cöster, R., & Järvinen, T. (2003). SICS at CLEF 2002: Automatic query expansion using random indexing. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2785, 311–320. https://doi.org/10.1007/978-3-540-45237-9_26
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