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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SemEval-2020-BRUMS at SemEval-2020 Task 12 Transformer Based Multilingual Offensive Language Identification in Social Media.pdf - Published Version Available under License Creative Commons Attribution. Download (211kB) |
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) | ||||||
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Identification Number: | https://doi.org/10.18653/v1/2020.semeval-1.251 | ||||||
Dates: |
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Subjects: | CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science | ||||||
Divisions: | Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology | ||||||
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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