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Semantic Clustering of Russian Web Search Results: Possibilities and Problems

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Book cover Information Retrieval (RuSSIR 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 505))

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Abstract

The present paper deals with word sense induction from lexical co-occurrence graphs. We construct such graphs on large Russian corpora and then apply the data to cluster the results of Mail.ru search according to meanings in the query. We compare different methods of performing such clustering and different source corpora. Models of applying distributional semantics to big linguistic data are described.

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Notes

  1. 1.

    http://opencorpora.org

  2. 2.

    http://ruscorpora.ru

  3. 3.

    http://go.mail.ru

  4. 4.

    http://analyzethis.ru/?analyzer=homonymous

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Author information

Authors and Affiliations

  1. Mail.ru Group, National Research University Higher School of Economics, Moscow, Russia

    Andrey Kutuzov

Authors
  1. Andrey Kutuzov
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Correspondence to Andrey Kutuzov .

Editor information

Editors and Affiliations

  1. Ural Federal University, Yekaterinburg, Russia

    Pavel Braslavski

  2. National Research University Higher School of Economics, Nizhniy Novgorod, Russia

    Nikolay Karpov

  3. Intelligent Systems Laboratory, University of Amsterdam, Amsterdam, The Netherlands

    Marcel Worring

  4. Barcelona Media Research Foundation, Barcelona, Spain

    Yana Volkovich

  5. National Research University Higher School of Economics, Moscow, Russia

    Dmitry I. Ignatov

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Kutuzov, A. (2015). Semantic Clustering of Russian Web Search Results: Possibilities and Problems. In: Braslavski, P., Karpov, N., Worring, M., Volkovich, Y., Ignatov, D.I. (eds) Information Retrieval. RuSSIR 2014. Communications in Computer and Information Science, vol 505. Springer, Cham. https://doi.org/10.1007/978-3-319-25485-2_12

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  • DOI: https://doi.org/10.1007/978-3-319-25485-2_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25484-5

  • Online ISBN: 978-3-319-25485-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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