@inproceedings{messaoudi-etal-2020-icompass,
    title = "i{C}ompass at {S}em{E}val-2020 Task 12: From a Syntax-ignorant N-gram Embeddings Model to a Deep Bidirectional Language Model",
    author = "Messaoudi, Abir  and
      Haddad, Hatem  and
      Ben Haj Hmida, Moez",
    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/jlcl-multiple-ingestion/2020.semeval-1.260/",
    doi = "10.18653/v1/2020.semeval-1.260",
    pages = "1978--1982",
    abstract = "We describe our submitted system to the SemEval 2020. We tackled Task 12 entitled {\textquotedblleft}Multilingual Offensive Language Identification in Social Media{\textquotedblright}, specifically subtask 4A-Arabic. We propose three Arabic offensive language identification models: Tw-StAR, BERT and BERT+BiLSTM. Two Arabic abusive/hate datasets were added to the training dataset: L-HSAB and T-HSAB. The final submission was chosen based on the best performances which was achieved by the BERT+BiLSTM model."
}