@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://preview.aclanthology.org/Add-Cong-Liu-Florida-Atlantic-University-author-id/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."
}