Devulgarization of Polish Texts Using Pre-trained Language Models-Reference-Cited by-同舟云学术

Devulgarization of Polish Texts Using Pre-trained Language Models

Published:2022 Issue: Volume: Page:49-55
ISSN:0302-9743
Container-title:Computational Science – ICCS 2022
language:
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Author:

Klamra Cezary^ORCID,Wojdyga Grzegorz^ORCID,Żurowski Sebastian^ORCID,Rosalska Paulina^ORCID,Kozłowska Matylda^ORCID,Ogrodniczuk Maciej^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-08754-7_7

Reference15 articles.

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2. Cheriyan, J., et al.: Towards offensive language detection and reduction in four software engineering communities. In: Evaluation and Assessment in Software Engineering, pp. 254–259. Association for Computing Machinery, New York (2021)

3. Ciura, M.: Przetak: Fewer Weeds on the Web. In: Ogrodniczuk, M., Kobyliński, Ł, (eds.) Proceeding PolEval 2019 Workshop, pp. 127–133. Institute of Computer Science, Polish Academy of Sciences (2019)

4. Dementieva, D., et al.: Methods for detoxification of texts for the Russian language. Multimodal Technol. Interact. 5, 54 (2021)

5. Grochowski, M.: Słownik polskich przekleństw i wulgaryzmów. PWN Scientific Publishers (2008)

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