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Recognition of Named Entities in the Russian Subcorpus Google Books Ngram

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Advances in Computational Intelligence (MICAI 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12469))

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Abstract

This paper describes how to build a recognizer to identify named entities that occur in the Google Books Ngram corpus. In the previous studies, the text was usually input to the recognizer to solve the task of named entities recognition. In this paper, the decision is made based on the analysis of the word co-occurrence statistics. The recognizer is a neural network. A vector of frequencies of bigrams or syntactic bigrams including the studied word is fed at the input. The task is to recognize named entities denoted by one word. However, the proposed method can be further applied to recognize two- or multi-word named entities. The recognition error probability obtained on the test sample of 10 thousand words, which are free from homonymy, was 2.71% (F1-score is 0.963). Solving the problem of word classification in Google Books Ngram will allow one to create large dictionaries of named entities that will improve recognition quality of named entities in texts by existing algorithms.

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Acknowledgements

This research was financially supported by the Russian Government Program of Competitive Growth of Kazan Federal University, and by RFBR, grant № 17-29-09163.

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Authors and Affiliations

  1. Kazan Federal University, Kazan, 420008, Russia

    Vladimir V. Bochkarev, Stanislav V. Khristoforov & Anna V. Shevlyakova

Authors
  1. Vladimir V. Bochkarev
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  2. Stanislav V. Khristoforov
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  3. Anna V. Shevlyakova
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Corresponding author

Correspondence to Vladimir V. Bochkarev .

Editor information

Editors and Affiliations

  1. Facultad de Ingeniería, Universidad Panamericana, Mexico City, Mexico

    Lourdes Martínez-Villaseñor

  2. Universidad Autónoma Metropolitana, Mexico City, Mexico

    Oscar Herrera-Alcántara

  3. Facultad de Ingeniería, Universidad Panamericana, Mexico City, Mexico

    Hiram Ponce

  4. Universidad Autónoma del Estado de Hidalgo, Hidalgo, Mexico

    Félix A. Castro-Espinoza

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Bochkarev, V.V., Khristoforov, S.V., Shevlyakova, A.V. (2020). Recognition of Named Entities in the Russian Subcorpus Google Books Ngram. In: Martínez-Villaseñor, L., Herrera-Alcántara, O., Ponce, H., Castro-Espinoza, F.A. (eds) Advances in Computational Intelligence. MICAI 2020. Lecture Notes in Computer Science(), vol 12469. Springer, Cham. https://doi.org/10.1007/978-3-030-60887-3_2

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  • DOI: https://doi.org/10.1007/978-3-030-60887-3_2

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