@inproceedings{ranasinghe-hettiarachchi-2020-brums,
title = "{BRUMS} at {S}em{E}val-2020 Task 12: Transformer Based Multilingual Offensive Language Identification in Social Media",
author = "Ranasinghe, Tharindu and
Hettiarachchi, Hansi",
editor = "Herbelot, Aurelie and
Zhu, Xiaodan and
Palmer, Alexis and
Schneider, Nathan and
May, Jonathan and
Shutova, Ekaterina",
booktitle = "Proceedings of the Fourteenth Workshop on Semantic Evaluation",
month = dec,
year = "2020",
address = "Barcelona (online)",
publisher = "International Committee for Computational Linguistics",
url = "https://aclanthology.org/2020.semeval-1.251",
doi = "10.18653/v1/2020.semeval-1.251",
pages = "1906--1915",
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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<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.</abstract>
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%0 Conference Proceedings
%T BRUMS at SemEval-2020 Task 12: Transformer Based Multilingual Offensive Language Identification in Social Media
%A Ranasinghe, Tharindu
%A Hettiarachchi, Hansi
%Y Herbelot, Aurelie
%Y Zhu, Xiaodan
%Y Palmer, Alexis
%Y Schneider, Nathan
%Y May, Jonathan
%Y Shutova, Ekaterina
%S Proceedings of the Fourteenth Workshop on Semantic Evaluation
%D 2020
%8 December
%I International Committee for Computational Linguistics
%C Barcelona (online)
%F ranasinghe-hettiarachchi-2020-brums
%X 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.
%R 10.18653/v1/2020.semeval-1.251
%U https://aclanthology.org/2020.semeval-1.251
%U https://doi.org/10.18653/v1/2020.semeval-1.251
%P 1906-1915
Markdown (Informal)
[BRUMS at SemEval-2020 Task 12: Transformer Based Multilingual Offensive Language Identification in Social Media](https://aclanthology.org/2020.semeval-1.251) (Ranasinghe & Hettiarachchi, SemEval 2020)
ACL