Abusive Language Recognition in Russian
- Kamil Saitov,
- Innopolis University,
- ,
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOpen access
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.
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 20-25Publication milestones
- Published - 20/04/2021
Publication status
Published - 20/04/2021
Publisher
Association for Computational Linguistics, United StatesPublication IDs
- Scopus: 85119578848
Host publication title
Proceedings of the 8th Workshop on Balto-Slavic Natural Language ProcessingPublication metrics
PlumX
Citation count
6
Captures
67
Access to documents
Accepted author manuscript, 249.06 KB
License:CC BY, opens in new tab
Final published version
License:CC BY, opens in new tab
Related Event
Title
Workshop on Balto-Slavic Natural Language Processing
Event type
WorkshopDegree of recognition
International eventDate
01/04/2021 Location
KiyvUkraine
