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International Conference on Intelligent Text Processing and Computational Linguistics

CICLing 2016: Computational Linguistics and Intelligent Text Processing pp 648–662Cite as

Features for Discourse-New Referent Detection in Russian

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9623))

Abstract

This paper concerns discourse-new mention detection in Russian. This might be helpful for different NLP applications such as coreference resolution, protagonist identification, summarization and different tasks of information extraction to detect the mention of an entity newly introduced into discourse. In our work, we are dealing with the Russian where there is no grammatical devices, like articles in English, for the overt marking a newly introduced referent. Our aim is to check the impact of various features on this task. The focus is on specific devices for introducing a new discourse prominent referent in Russian specified in theoretical studies. We conduct a pilot study of features impact and provide a series of experiments on detecting the first mention of a referent in a non-singleton coreference chain, drawing on linguistic insights about how a prominent entity introduced into discourse is affected by structural, morphological and lexical features.

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Notes

  1. 1.

    The corpus may be downloaded on http://rucoref.maimbava.net.

  2. 2.

    Pronouns are a closed grammatical class therefore it may be treated as a list.

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Acknowledgments

The authors would like to thank anonymous reviewers for their helpful comments, the Lomonosov Moscow University students who participated in the corpus markup, and Dmitrij Gorshkov for software support.

This research was supported by grant from Russian Foundation for Basic Research Fund (15-07-09306).

Author information

Authors and Affiliations

  1. National Research University “Higher School of Economics”, Moscow, Russia

    Svetlana Toldova

  2. Goethe University Frankfurt, Frankfurt, Germany

    Max Ionov

  3. Moscow State University, Moscow, Russia

    Max Ionov

Authors
  1. Svetlana Toldova
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  2. Max Ionov
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Corresponding author

Correspondence to Max Ionov .

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Editors and Affiliations

  1. CIC, Instituto Politécnico Nacional, Mexico City, Mexico

    Alexander Gelbukh

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Toldova, S., Ionov, M. (2018). Features for Discourse-New Referent Detection in Russian. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2016. Lecture Notes in Computer Science(), vol 9623. Springer, Cham. https://doi.org/10.1007/978-3-319-75477-2_47

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  • DOI: https://doi.org/10.1007/978-3-319-75477-2_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75476-5

  • Online ISBN: 978-3-319-75477-2

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