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Out-of-Dictionary Meanings Detecting Using Word-Sense Disambiguation Algorithms. / Borodina, Darya; Morozov, Dmitry.

Communications in Computer and Information Science. ed. / Maxim Bakaev; Radomir Bolgov; Anna Chizhik; Andrei Chugunov; Yury Kabanov; Roberto Pereira; Elakkiya R; Wei Zhang. Vol. 2534 Springer, 2026. p. 85-104 8.

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

Harvard

Borodina, D & Morozov, D 2026, Out-of-Dictionary Meanings Detecting Using Word-Sense Disambiguation Algorithms. in M Bakaev, R Bolgov, A Chizhik, A Chugunov, Y Kabanov, R Pereira, E R & W Zhang (eds), Communications in Computer and Information Science. vol. 2534, 8, Springer, pp. 85-104, 27th International Conference "Internet and Modern Society. Human-Computer Communication", Санкт-Петербург, Russian Federation, 24.06.2024. https://doi.org/10.1007/978-3-031-96177-9_8

APA

Borodina, D., & Morozov, D. (2026). Out-of-Dictionary Meanings Detecting Using Word-Sense Disambiguation Algorithms. In M. Bakaev, R. Bolgov, A. Chizhik, A. Chugunov, Y. Kabanov, R. Pereira, E. R, & W. Zhang (Eds.), Communications in Computer and Information Science (Vol. 2534, pp. 85-104). [8] Springer. https://doi.org/10.1007/978-3-031-96177-9_8

Vancouver

Borodina D, Morozov D. Out-of-Dictionary Meanings Detecting Using Word-Sense Disambiguation Algorithms. In Bakaev M, Bolgov R, Chizhik A, Chugunov A, Kabanov Y, Pereira R, R E, Zhang W, editors, Communications in Computer and Information Science. Vol. 2534. Springer. 2026. p. 85-104. 8 doi: 10.1007/978-3-031-96177-9_8

Author

Borodina, Darya ; Morozov, Dmitry. / Out-of-Dictionary Meanings Detecting Using Word-Sense Disambiguation Algorithms. Communications in Computer and Information Science. editor / Maxim Bakaev ; Radomir Bolgov ; Anna Chizhik ; Andrei Chugunov ; Yury Kabanov ; Roberto Pereira ; Elakkiya R ; Wei Zhang. Vol. 2534 Springer, 2026. pp. 85-104

BibTeX

@inproceedings{e4cb57a1145843589dafd8ddd71ebc7d,
title = "Out-of-Dictionary Meanings Detecting Using Word-Sense Disambiguation Algorithms",
abstract = "Automatic semantic shift detection can be used in a number of applied problems in linguistics, from compiling explanatory dictionaries to analyzing historical documents. In this paper, we consider the related problem of word-sense disambiguation (WSD) and the feasibility of adapting algorithms based on explanatory dictionaries to detect out-of-dictionary meanings. We selected 50 reference words, for which we collected a dataset of context-gloss pairs based on the National Media subcorpus of the Russian National Corpus, news feed of the Vkontakte social network, and the Big Explanatory Dictionary of the Russian Language. We adapted four algorithms originally developed for the WSD problem. The best quality (F1-score = 0.96) was achieved through the GlossBERT algorithm. We also assessed the generalization ability of this algorithm applying a train-test split by reference words. In this case, F1-score dropped significantly to a value of 0.71.",
keywords = "Semantic Shift Detection, Word-Sense Disambiguation, Natural Language Processing",
author = "Darya Borodina and Dmitry Morozov",
note = "Borodina, D., Morozov, D. (2026). Out-of-Dictionary Meanings Detecting Using Word-Sense Disambiguation Algorithms. In: Bakaev, M., et al. Internet and Modern Society. Human-Computer Communication. IMS 2024. Communications in Computer and Information Science, vol 2534. Springer, Cham. https://doi.org/10.1007/978-3-031-96177-9_8; 27th International Conference {"}Internet and Modern Society. Human-Computer Communication{"}, IMS 2024 ; Conference date: 24-06-2024 Through 26-06-2024",
year = "2026",
doi = "10.1007/978-3-031-96177-9_8",
language = "English",
isbn = "978-3-031-96176-2",
volume = "2534",
pages = "85--104",
editor = "Maxim Bakaev and Radomir Bolgov and Anna Chizhik and Andrei Chugunov and Yury Kabanov and Roberto Pereira and Elakkiya R and Wei Zhang",
booktitle = "Communications in Computer and Information Science",
publisher = "Springer",
address = "United States",
url = "https://ims.itmo.ru/",

}

RIS

TY - GEN

T1 - Out-of-Dictionary Meanings Detecting Using Word-Sense Disambiguation Algorithms

AU - Borodina, Darya

AU - Morozov, Dmitry

N1 - Conference code: 27

PY - 2026

Y1 - 2026

N2 - Automatic semantic shift detection can be used in a number of applied problems in linguistics, from compiling explanatory dictionaries to analyzing historical documents. In this paper, we consider the related problem of word-sense disambiguation (WSD) and the feasibility of adapting algorithms based on explanatory dictionaries to detect out-of-dictionary meanings. We selected 50 reference words, for which we collected a dataset of context-gloss pairs based on the National Media subcorpus of the Russian National Corpus, news feed of the Vkontakte social network, and the Big Explanatory Dictionary of the Russian Language. We adapted four algorithms originally developed for the WSD problem. The best quality (F1-score = 0.96) was achieved through the GlossBERT algorithm. We also assessed the generalization ability of this algorithm applying a train-test split by reference words. In this case, F1-score dropped significantly to a value of 0.71.

AB - Automatic semantic shift detection can be used in a number of applied problems in linguistics, from compiling explanatory dictionaries to analyzing historical documents. In this paper, we consider the related problem of word-sense disambiguation (WSD) and the feasibility of adapting algorithms based on explanatory dictionaries to detect out-of-dictionary meanings. We selected 50 reference words, for which we collected a dataset of context-gloss pairs based on the National Media subcorpus of the Russian National Corpus, news feed of the Vkontakte social network, and the Big Explanatory Dictionary of the Russian Language. We adapted four algorithms originally developed for the WSD problem. The best quality (F1-score = 0.96) was achieved through the GlossBERT algorithm. We also assessed the generalization ability of this algorithm applying a train-test split by reference words. In this case, F1-score dropped significantly to a value of 0.71.

KW - Semantic Shift Detection

KW - Word-Sense Disambiguation

KW - Natural Language Processing

UR - https://www.scopus.com/pages/publications/105019249740

UR - https://www.mendeley.com/catalogue/5d8c8c19-3252-3e8c-a708-91911972c6a0/

U2 - 10.1007/978-3-031-96177-9_8

DO - 10.1007/978-3-031-96177-9_8

M3 - Conference contribution

SN - 978-3-031-96176-2

VL - 2534

SP - 85

EP - 104

BT - Communications in Computer and Information Science

A2 - Bakaev, Maxim

A2 - Bolgov, Radomir

A2 - Chizhik, Anna

A2 - Chugunov, Andrei

A2 - Kabanov, Yury

A2 - Pereira, Roberto

A2 - R, Elakkiya

A2 - Zhang, Wei

PB - Springer

T2 - 27th International Conference "Internet and Modern Society. Human-Computer Communication"

Y2 - 24 June 2024 through 26 June 2024

ER -

ID: 71312786