Abusive Language Recognition in Russian

Kamil Saitov, Leon Derczynski

Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer 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.
OriginalsprogEngelsk
TitelProceedings of the 8th Workshop on Balto-Slavic Natural Language Processing
ForlagAssociation for Computational Linguistics
Publikationsdato20 apr. 2021
Sider20-25
StatusUdgivet - 20 apr. 2021

Emneord

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

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