Abusive Language Recognition in Russian

Kamil Saitov; Leon Derczynski

Abusive Language Recognition in Russian

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

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.

Original language	English
Title of host publication	Proceedings of the 8th Workshop on Balto-Slavic Natural Language Processing
Publisher	Association for Computational Linguistics
Publication date	20 Apr 2021
Pages	20-25
Publication status	Published - 20 Apr 2021

Keywords

Abusive language detection
Russian language processing
Machine learning
Lexical diversity
Morphological analysis

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_EACL_2021__Abusive_Language_Recognition_in_RussianAccepted author manuscript, 249 KBLicence: CC BY

https://www.aclweb.org/anthology/2021.bsnlp-1.3/Licence: CC BY

Cite this

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title = "Abusive Language Recognition in Russian",

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.",

keywords = "Abusive language detection, Russian language processing, Machine learning, Lexical diversity, Morphological analysis",

author = "Kamil Saitov and Leon Derczynski",

year = "2021",

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booktitle = "Proceedings of the 8th Workshop on Balto-Slavic Natural Language Processing",

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AU - Saitov, Kamil

AU - Derczynski, Leon

PY - 2021/4/20

Y1 - 2021/4/20

N2 - 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.

AB - 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.

KW - Abusive language detection

KW - Russian language processing

KW - Machine learning

KW - Lexical diversity

KW - Morphological analysis

M3 - Article in proceedings

SP - 20

EP - 25

BT - Proceedings of the 8th Workshop on Balto-Slavic Natural Language Processing

PB - Association for Computational Linguistics

ER -

Abusive Language Recognition in Russian

Abstract

Keywords

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