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Proceedings of the Fourteenth Workshop on Semantic Evaluation
The paper presents a system developed for the SemEval-2020 competition Task 12 (OffensEval-2): Multilingual Offensive Language Identification in Social Media. We achieve the second place (2nd) in sub-task B: Automatic categorization of offense types and are ranked 55th with a macro F1-score of 90.59 in sub-task A: Offensive language identification. Our solution is using a stack of BERT and LSTM layers, training with the Noisy Student method. Since the tweets data contains a large number ofdoi:10.18653/v1/2020.semeval-1.280 fatcat:fx2gvvldcvbi5i2igzhymp6kxy