Abusive Language Recognition in Russian

Kamil Saitov; Leon Derczynski

Abusive Language Recognition in Russian

Kamil Saitov
, Leon Derczynski

Innopolis University

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › 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.

Originalsprog	Engelsk
Titel	Proceedings of the 8th Workshop on Balto-Slavic Natural Language Processing
Forlag	Association for Computational Linguistics
Publikationsdato	20 apr. 2021
Sider	20-25
Status	Udgivet - 20 apr. 2021
Begivenhed	Workshop on Balto-Slavic Natural Language Processing - Kiyv, Ukraine Varighed: 1 apr. 2021 → … Konferencens nummer: 8

Workshop

Workshop	Workshop on Balto-Slavic Natural Language Processing
Nummer	8
Land/Område	Ukraine
By	Kiyv
Periode	01/04/2021 → …

Emneord

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

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_EACL_2021__Abusive_Language_Recognition_in_RussianAccepteret manuskript, 249 KBLicens: CC BY

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

Citationsformater

@inproceedings{8010224b157e46e494ab3e1ac7877986,

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

author = "Kamil Saitov and Leon Derczynski",

year = "2021",

month = apr,

day = "20",

language = "English",

pages = "20--25",

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

publisher = "Association for Computational Linguistics",

address = "United States",

note = "Workshop on Balto-Slavic Natural Language Processing ; Conference date: 01-04-2021",

}

TY - GEN

T1 - Abusive Language Recognition in Russian

AU - Saitov, Kamil

AU - Derczynski, Leon

N1 - Conference code: 8

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

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

T2 - Workshop on Balto-Slavic Natural Language Processing

Y2 - 1 April 2021

ER -

Abusive Language Recognition in Russian

Abstract

Workshop

Emneord

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Fingeraftryk

Citationsformater