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Conference on Artificial Intelligence and Natural Language

AINL 2017: Artificial Intelligence and Natural Language pp 107–112Cite as

Employing Wikipedia Data for Coreference Resolution in Russian

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 789))

Abstract

Semantic information has been deemed a valuable resource for solving the task of coreference resolution by many researchers. Unfortunately, not much has been done in the direction of using this data when working with Russian data. This work describes the first step of a research, attempting to create a coreference resolution system for Russian based on semantic data, concerned with using Wikipedia information for the task. The obtained results are comparable to ones for English data, which gives reasons to expect their improvement in further steps of the research.

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Notes

  1. 1.

    http://www.interfax.ru/.

  2. 2.

    https://github.com/bureaucratic-labs/natasha.

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Author information

Authors and Affiliations

  1. Higher School of Economics, Moscow, Russia

    Ilya Azerkovich

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  1. Ilya Azerkovich
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Correspondence to Ilya Azerkovich .

Editor information

Editors and Affiliations

  1. ITMO University, St. Petersburg, Russia

    Andrey Filchenkov

  2. University of Helsinki, Helsinki, Finland

    Lidia Pivovarova

  3. Mendel University , Brno, Czech Republic

    Jan Žižka

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Azerkovich, I. (2018). Employing Wikipedia Data for Coreference Resolution in Russian. In: Filchenkov, A., Pivovarova, L., Žižka, J. (eds) Artificial Intelligence and Natural Language. AINL 2017. Communications in Computer and Information Science, vol 789. Springer, Cham. https://doi.org/10.1007/978-3-319-71746-3_9

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  • DOI: https://doi.org/10.1007/978-3-319-71746-3_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-71745-6

  • Online ISBN: 978-3-319-71746-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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