OffensEval2020

@inproceedings{safaya-etal-2020-kuisail,
    title = "{KUISAIL} at {S}em{E}val-2020 Task 12: {BERT}-{CNN} for Offensive Speech Identification in Social Media",
    author = "Safaya, Ali  and
      Abdullatif, Moutasem  and
      Yuret, Deniz",
    booktitle = "Proceedings of the Fourteenth Workshop on Semantic Evaluation",
    month = dec,
    year = "2020",
    address = "Barcelona (online)",
    publisher = "International Committee for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.semeval-1.271",
    pages = "2054--2059",
}

OffensEval Sub-task A

Offensive Speech Detection: paper here

Macro Averaged F1-Scores of test sets

Model	Arabic	Greek	Turkish	Average
SVM with TF-IDF	0.772	0.823	0.685	0.760
Multilingual BERT	0.808	0.807	0.774	0.796
Bi-LSTM	0.822	0.826	0.755	0.801
CNN-Text	0.840	0.825	0.751	0.805
BERT *	0.884	0.822	0.816	0.841
BERT-CNN (Ours)	0.897	0.843	0.814	0.851

*: For language specific pre-trained BERT we use these models: Arabic, Greek, Turkish