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

• URL: http://arxiv.org/abs/2010.06278v1
• Date: Tue, 13 Oct 2020 10:39:14 GMT
• Title: BRUMS at SemEval-2020 Task 12 : Transformer based Multilingual Offensive Language Identification in Social Media
• Authors: Tharindu Ranasinghe, Hansi Hettiarachchi
• Abstract summary: We present a multilingual deep learning model to identify offensive language in social media. The approach achieves acceptable evaluation scores, while maintaining flexibility between languages.
• Score: 9.710464466895521
• License: http://creativecommons.org/licenses/by/4.0/
• 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.

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