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BRUMS at SemEval-2020 Task 12: Transformer Based Multilingual Offensive Language Identification in Social Media

Tharindu Ranasinghe, Hansi Hettiarachchi


Abstract
In this paper, we describe the team BRUMS entry to OffensEval 2: Multilingual Offensive Language Identification in Social Media in SemEval-2020. The OffensEval organizers provided participants with annotated datasets containing posts from social media in Arabic, Danish, English, Greek and Turkish. We present a multilingual deep learning model to identify offensive language in social media. Overall, the approach achieves acceptable evaluation scores, while maintaining flexibility between languages.
Anthology ID:
2020.semeval-1.251
Volume:
Proceedings of the Fourteenth Workshop on Semantic Evaluation
Month:
December
Year:
2020
Address:
Barcelona (online)
Editors:
Aurelie Herbelot, Xiaodan Zhu, Alexis Palmer, Nathan Schneider, Jonathan May, Ekaterina Shutova
Venue:
SemEval
SIG:
SIGLEX
Publisher:
International Committee for Computational Linguistics
Note:
Pages:
1906–1915
Language:
URL:
https://aclanthology.org/2020.semeval-1.251
DOI:
10.18653/v1/2020.semeval-1.251
Bibkey:
Cite (ACL):
Tharindu Ranasinghe and Hansi Hettiarachchi. 2020. BRUMS at SemEval-2020 Task 12: Transformer Based Multilingual Offensive Language Identification in Social Media. In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pages 1906–1915, Barcelona (online). International Committee for Computational Linguistics.
Cite (Informal):
BRUMS at SemEval-2020 Task 12: Transformer Based Multilingual Offensive Language Identification in Social Media (Ranasinghe & Hettiarachchi, SemEval 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.semeval-1.251.pdf
Data
OLID