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

2020-10-13 10:39:14
Tharindu Ranasinghe, Hansi Hettiarachchi
arXiv_AI
       
Abstract

In this paper, we describe the team \textit{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.

Abstract (translated)

URL

https://arxiv.org/abs/2010.06278

PDF

https://arxiv.org/pdf/2010.06278.pdf

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