Standard

Keyness Analysis and Its Representation in Russian Academic Papers on Computational Linguistics: Evaluation of Algorithms. / Khokhlova, Maria ; Koryshev, Mikhail .

Proceedings of the Sixteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2022. Tribun EU, 2022. p. 25–33 ( Recent Advances in Slavonic Natural Language Processing).

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

Harvard

Khokhlova, M & Koryshev, M 2022, Keyness Analysis and Its Representation in Russian Academic Papers on Computational Linguistics: Evaluation of Algorithms. in Proceedings of the Sixteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2022. Recent Advances in Slavonic Natural Language Processing, Tribun EU, pp. 25–33, 16th Workshop on Recent Advances in Slavonic Natural Languages Processing, Karlova Studánka, Czech Republic, 9/12/22. <https://nlp.fi.muni.cz/raslan/2022/paper9.pdf>

APA

Khokhlova, M., & Koryshev, M. (2022). Keyness Analysis and Its Representation in Russian Academic Papers on Computational Linguistics: Evaluation of Algorithms. In Proceedings of the Sixteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2022 (pp. 25–33). ( Recent Advances in Slavonic Natural Language Processing). Tribun EU. https://nlp.fi.muni.cz/raslan/2022/paper9.pdf

Vancouver

Khokhlova M, Koryshev M. Keyness Analysis and Its Representation in Russian Academic Papers on Computational Linguistics: Evaluation of Algorithms. In Proceedings of the Sixteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2022. Tribun EU. 2022. p. 25–33. ( Recent Advances in Slavonic Natural Language Processing).

Author

Khokhlova, Maria ; Koryshev, Mikhail . / Keyness Analysis and Its Representation in Russian Academic Papers on Computational Linguistics: Evaluation of Algorithms. Proceedings of the Sixteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2022. Tribun EU, 2022. pp. 25–33 ( Recent Advances in Slavonic Natural Language Processing).

BibTeX

@inbook{97bd3945c2bf48529dacabf5a131f63d,
title = "Keyness Analysis and Its Representation in Russian Academic Papers on Computational Linguistics: Evaluation of Algorithms",
abstract = "Extraction of relevant lexis has gained significance as theamount of information is continuously growing with news, posts on social networks, reviews, academic papers, etc. piling up. Automated algorithms are needed to analyze texts to facilitate understanding of their content. The paper scrutinizes methods for keyword extraction in abstractsof Russian scientific texts on computational linguistics. Unsupervised algorithms based on statistics, graphs and machine learning principles areconsidered. The results are evaluated against the keywords assigned byauthors themselves, followed by expert opinion. Log-likelihood producedthe best results in comparison with author keywords, while KeyBERT implementation with vectorizers outperformed other algorithms accordingto expert assessment.",
keywords = "Keyword extraction, Academic papers, abstracts, computational linguistics, Log-likelihood, TextRank, RAKE, YAKE, KeyBERT",
author = "Maria Khokhlova and Mikhail Koryshev",
year = "2022",
language = "English",
isbn = "9788026317524",
series = " Recent Advances in Slavonic Natural Language Processing",
publisher = "Tribun EU",
pages = "25–33",
booktitle = "Proceedings of the Sixteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2022",
address = "Czech Republic",
note = "16th Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2022 ; Conference date: 09-12-2022 Through 11-12-2022",
url = "https://raslan2022.nlp-consulting.net/index.html",

}

RIS

TY - CHAP

T1 - Keyness Analysis and Its Representation in Russian Academic Papers on Computational Linguistics: Evaluation of Algorithms

AU - Khokhlova, Maria

AU - Koryshev, Mikhail

PY - 2022

Y1 - 2022

N2 - Extraction of relevant lexis has gained significance as theamount of information is continuously growing with news, posts on social networks, reviews, academic papers, etc. piling up. Automated algorithms are needed to analyze texts to facilitate understanding of their content. The paper scrutinizes methods for keyword extraction in abstractsof Russian scientific texts on computational linguistics. Unsupervised algorithms based on statistics, graphs and machine learning principles areconsidered. The results are evaluated against the keywords assigned byauthors themselves, followed by expert opinion. Log-likelihood producedthe best results in comparison with author keywords, while KeyBERT implementation with vectorizers outperformed other algorithms accordingto expert assessment.

AB - Extraction of relevant lexis has gained significance as theamount of information is continuously growing with news, posts on social networks, reviews, academic papers, etc. piling up. Automated algorithms are needed to analyze texts to facilitate understanding of their content. The paper scrutinizes methods for keyword extraction in abstractsof Russian scientific texts on computational linguistics. Unsupervised algorithms based on statistics, graphs and machine learning principles areconsidered. The results are evaluated against the keywords assigned byauthors themselves, followed by expert opinion. Log-likelihood producedthe best results in comparison with author keywords, while KeyBERT implementation with vectorizers outperformed other algorithms accordingto expert assessment.

KW - Keyword extraction

KW - Academic papers

KW - abstracts

KW - computational linguistics

KW - Log-likelihood

KW - TextRank

KW - RAKE

KW - YAKE

KW - KeyBERT

UR - https://dblp.org/db/conf/raslan/raslan2022.html

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85171465447&origin=inward&txGid=a59a60d431102e0964fac2763cd058cd

M3 - Chapter

SN - 9788026317524

T3 - Recent Advances in Slavonic Natural Language Processing

SP - 25

EP - 33

BT - Proceedings of the Sixteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2022

PB - Tribun EU

T2 - 16th Workshop on Recent Advances in Slavonic Natural Languages Processing

Y2 - 9 December 2022 through 11 December 2022

ER -

ID: 105206630