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A Multi-feature Classifier for Verbal Metaphor Identification in Russian Texts

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Artificial Intelligence and Natural Language (AINL 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 930))

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Abstract

The paper presents a supervised machine learning experiment with multiple features for identification of sentences containing verbal metaphors in raw Russian text. We introduce the custom-created training dataset, describe the feature engineering techniques, and discuss the results. The following set of features is applied: distributional semantic features, lexical and morphosyntactic co-occurrence frequencies, flag words, quotation marks, and sentence length. We combine these features into models of varying complexity; the results of the experiment demonstrate that fairly simple models based on lexical, morphosyntactic and semantic features are able to produce competitive results.

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Notes

  1. 1.

    https://github.com/yubadryzlova/metaphor_dataset_20_verbs.git.

  2. 2.

    The definitions throughout the paper are quoted from the Dictionary of the Russian Language [44].

  3. 3.

    LinearSVC, as implemented in scikit-learn [32].

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Acknowledgements

The contribution to this study by Polina Panicheva is supported by RFBR grant № 16-06-00529.

Author information

Authors and Affiliations

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

    Yulia Badryzlova

  2. St. Petersburg State University, Saint Petersburg, Russia

    Polina Panicheva

Authors
  1. Yulia Badryzlova
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  2. Polina Panicheva
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Corresponding author

Correspondence to Yulia Badryzlova .

Editor information

Editors and Affiliations

  1. Data and Web Science Group, University of Mannheim, Mannheim, Baden-Württemberg, Germany

    Dmitry Ustalov

  2. ITMO University, St. Petersburg, Russia

    Andrey Filchenkov

  3. University of Helsinki, Helsinki, Finland

    Lidia Pivovarova

  4. Mendel University, Brno, Czech Republic

    Jan Žižka

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Badryzlova, Y., Panicheva, P. (2018). A Multi-feature Classifier for Verbal Metaphor Identification in Russian Texts. In: Ustalov, D., Filchenkov, A., Pivovarova, L., Žižka, J. (eds) Artificial Intelligence and Natural Language. AINL 2018. Communications in Computer and Information Science, vol 930. Springer, Cham. https://doi.org/10.1007/978-3-030-01204-5_3

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  • DOI: https://doi.org/10.1007/978-3-030-01204-5_3

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