@inproceedings{saitov-derczynski-2021-abusive,
title = "Abusive Language Recognition in {R}ussian",
author = "Saitov, Kamil and
Derczynski, Leon",
editor = "Babych, Bogdan and
Kanishcheva, Olga and
Nakov, Preslav and
Piskorski, Jakub and
Pivovarova, Lidia and
Starko, Vasyl and
Steinberger, Josef and
Yangarber, Roman and
Marci{\'n}czuk, Micha{\l} and
Pollak, Senja and
P{\v{r}}ib{\'a}{\v{n}}, Pavel and
Robnik-{\v{S}}ikonja, Marko",
booktitle = "Proceedings of the 8th Workshop on Balto-Slavic Natural Language Processing",
month = apr,
year = "2021",
address = "Kiyv, Ukraine",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.bsnlp-1.3/",
pages = "20--25",
abstract = "Abusive phenomena are commonplace in language on the web. The scope of recognizing abusive language is broad, covering many behaviors and forms of expression. This work addresses automatic detection of abusive language in Russian. The lexical, grammatical and morphological diversity of Russian language present potential difficulties for this task, which is addressed using a variety of machine learning approaches. Finally, competitive performance is reached over multiple domains for this investigation into automatic detection of abusive language in Russian."
}
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%0 Conference Proceedings
%T Abusive Language Recognition in Russian
%A Saitov, Kamil
%A Derczynski, Leon
%Y Babych, Bogdan
%Y Kanishcheva, Olga
%Y Nakov, Preslav
%Y Piskorski, Jakub
%Y Pivovarova, Lidia
%Y Starko, Vasyl
%Y Steinberger, Josef
%Y Yangarber, Roman
%Y Marcińczuk, Michał
%Y Pollak, Senja
%Y Přibáň, Pavel
%Y Robnik-Šikonja, Marko
%S Proceedings of the 8th Workshop on Balto-Slavic Natural Language Processing
%D 2021
%8 April
%I Association for Computational Linguistics
%C Kiyv, Ukraine
%F saitov-derczynski-2021-abusive
%X Abusive phenomena are commonplace in language on the web. The scope of recognizing abusive language is broad, covering many behaviors and forms of expression. This work addresses automatic detection of abusive language in Russian. The lexical, grammatical and morphological diversity of Russian language present potential difficulties for this task, which is addressed using a variety of machine learning approaches. Finally, competitive performance is reached over multiple domains for this investigation into automatic detection of abusive language in Russian.
%U https://aclanthology.org/2021.bsnlp-1.3/
%P 20-25
Markdown (Informal)
[Abusive Language Recognition in Russian](https://aclanthology.org/2021.bsnlp-1.3/) (Saitov & Derczynski, BSNLP 2021)
ACL
- Kamil Saitov and Leon Derczynski. 2021. Abusive Language Recognition in Russian. In Proceedings of the 8th Workshop on Balto-Slavic Natural Language Processing, pages 20–25, Kiyv, Ukraine. Association for Computational Linguistics.