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Keyphrase extraction from the Russian corpus on Linguistics by means of KEA and RAKE algorithm. / Moskvina, A.; Sokolova, E.; Mitrofanova, O.

Data Analytics and Management in Data Intensive Domains: Proceedings of the XX International Conference – DAMDID/RCDL’2018, October 9-12, 2018, Moscow. M., 2018. p. 369-372.

Research output: Chapter in Book/Report/Conference proceeding › Article in an anthology › peer-review

Harvard

Moskvina, A, Sokolova, E & Mitrofanova, O 2018, Keyphrase extraction from the Russian corpus on Linguistics by means of KEA and RAKE algorithm. in Data Analytics and Management in Data Intensive Domains: Proceedings of the XX International Conference – DAMDID/RCDL’2018, October 9-12, 2018, Moscow. M., pp. 369-372, Data Analytics and Management in Data Intensive Domains, Moscow, Russian Federation, 9/10/18.

APA

Moskvina, A., Sokolova, E., & Mitrofanova, O. (2018). Keyphrase extraction from the Russian corpus on Linguistics by means of KEA and RAKE algorithm. In Data Analytics and Management in Data Intensive Domains: Proceedings of the XX International Conference – DAMDID/RCDL’2018, October 9-12, 2018, Moscow (pp. 369-372).

Vancouver

Moskvina A, Sokolova E, Mitrofanova O. Keyphrase extraction from the Russian corpus on Linguistics by means of KEA and RAKE algorithm. In Data Analytics and Management in Data Intensive Domains: Proceedings of the XX International Conference – DAMDID/RCDL’2018, October 9-12, 2018, Moscow. M. 2018. p. 369-372

Author

Moskvina, A. ; Sokolova, E. ; Mitrofanova, O. / Keyphrase extraction from the Russian corpus on Linguistics by means of KEA and RAKE algorithm. Data Analytics and Management in Data Intensive Domains: Proceedings of the XX International Conference – DAMDID/RCDL’2018, October 9-12, 2018, Moscow. M., 2018. pp. 369-372

BibTeX

@inbook{5059c866574a48f79d2cec6991263c6e,
title = "Keyphrase extraction from the Russian corpus on Linguistics by means of KEA and RAKE algorithm",
abstract = "This paper is devoted to comparison of two state-of-the-art keyphrase extraction algorithms, namely KEA based on machine learning and RAKE working with morphosyntactic patterns. Comparative study deal with peculiarities of KEA and RAKE with regard to particular research tasks. Experiments carried out on the Russian corpus on Linguistics allow to work out the best options for testing KEA and RAKE and to find out which algorithm shows better results.",
author = "A. Moskvina and E. Sokolova and O. Mitrofanova",
year = "2018",
language = "English",
isbn = "978-5-519-65438-8",
pages = "369--372",
booktitle = "Data Analytics and Management in Data Intensive Domains",
note = "Data Analytics and Management in Data Intensive Domains : 20th International Conference ; Conference date: 09-10-2018 Through 12-10-2018",

}

RIS

TY - CHAP

T1 - Keyphrase extraction from the Russian corpus on Linguistics by means of KEA and RAKE algorithm

AU - Moskvina, A.

AU - Sokolova, E.

AU - Mitrofanova, O.

PY - 2018

Y1 - 2018

N2 - This paper is devoted to comparison of two state-of-the-art keyphrase extraction algorithms, namely KEA based on machine learning and RAKE working with morphosyntactic patterns. Comparative study deal with peculiarities of KEA and RAKE with regard to particular research tasks. Experiments carried out on the Russian corpus on Linguistics allow to work out the best options for testing KEA and RAKE and to find out which algorithm shows better results.

AB - This paper is devoted to comparison of two state-of-the-art keyphrase extraction algorithms, namely KEA based on machine learning and RAKE working with morphosyntactic patterns. Comparative study deal with peculiarities of KEA and RAKE with regard to particular research tasks. Experiments carried out on the Russian corpus on Linguistics allow to work out the best options for testing KEA and RAKE and to find out which algorithm shows better results.

UR - https://publications.hse.ru/en/chapters/403087466

M3 - Article in an anthology

SN - 978-5-519-65438-8

SP - 369

EP - 372

BT - Data Analytics and Management in Data Intensive Domains

CY - M.

T2 - Data Analytics and Management in Data Intensive Domains

Y2 - 9 October 2018 through 12 October 2018

ER -

ID: 37683707