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

Ranasinghe, Tharindu and Hettiarachchi, Hansi (2020) BRUMS at SemEval-2020 Task 12: Transformer Based Multilingual Offensive Language Identification in Social Media. In: 14th International Workshop on Semantic Evaluation (SemEval-2020), 1st December 2020, Online.

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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.

Item Type:	Conference or Workshop Item (Paper)
Identification Number:	10.18653/v1/2020.semeval-1.251
Dates:	Date Event 29 March 2020 Accepted 12 December 2020 Published
Subjects:	CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science
Divisions:	Architecture, Built Environment, Computing and Engineering > Computer Science
Depositing User:	Hansi Hettiarachchi
Date Deposited:	21 Dec 2021 15:35
Last Modified:	21 Dec 2021 15:35
URI:	https://www.open-access.bcu.ac.uk/id/eprint/12556

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