Abstract
The aim of this paper is to study possibilities of latent semantic analysis for automatic extraction of word pair collocations from domain texts. The basic idea of this work consists in a search of collocations among pairs of words with strong (stable) relations since collocations are nothing else than steady combinations of words. Results of experiments on a corpus of texts from a Russian online newspaper demonstrate that applying latent semantic analysis to collocation extraction significantly decreases information noise and strengthens the words associations. The proposed method will be used for an automatic building thesaurus for a domain.
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Nugumanova, A., Bessmertny, I. (2013). Applying the Latent Semantic Analysis to the Issue of Automatic Extraction of Collocations from the Domain Texts. In: Klinov, P., Mouromtsev, D. (eds) Knowledge Engineering and the Semantic Web. KESW 2013. Communications in Computer and Information Science, vol 394. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41360-5_8
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DOI: https://doi.org/10.1007/978-3-642-41360-5_8
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