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- W3116345786 abstract "This paper summarizes our group’s efforts in the offensive language identification shared task, which is organized as part of the International Workshop on Semantic Evaluation (Sem-Eval2020). Our final submission system is an ensemble of three different models, (1) CNN-LSTM, (2) BiLSTM-Attention and (3) BERT. Word embeddings, which were pre-trained on tweets, are used while training the first two models. BERTurk, which is the first BERT model for Turkish, is also explored. Our final submitted approach ranked as the second best model in the Turkish sub-task." @default.
- W3116345786 created "2021-01-05" @default.
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- W3116345786 date "2020-01-01" @default.
- W3116345786 modified "2023-09-30" @default.
- W3116345786 title "SU-NLP at SemEval-2020 Task 12: Offensive Language IdentifiCation in Turkish Tweets" @default.
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- W3116345786 doi "https://doi.org/10.18653/v1/2020.semeval-1.288" @default.
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