@inproceedings{ozdemir-yeniterzi-2020-su,
title = "{SU}-{NLP} at {S}em{E}val-2020 Task 12: Offensive Language {I}dentifi{C}ation in {T}urkish Tweets",
author = "Ozdemir, Anil and
Yeniterzi, Reyyan",
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://aclanthology.org/2020.semeval-1.288",
doi = "10.18653/v1/2020.semeval-1.288",
pages = "2171--2176",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T SU-NLP at SemEval-2020 Task 12: Offensive Language IdentifiCation in Turkish Tweets
%A Ozdemir, Anil
%A Yeniterzi, Reyyan
%Y Herbelot, Aurelie
%Y Zhu, Xiaodan
%Y Palmer, Alexis
%Y Schneider, Nathan
%Y May, Jonathan
%Y Shutova, Ekaterina
%S Proceedings of the Fourteenth Workshop on Semantic Evaluation
%D 2020
%8 December
%I International Committee for Computational Linguistics
%C Barcelona (online)
%F ozdemir-yeniterzi-2020-su
%X 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.
%R 10.18653/v1/2020.semeval-1.288
%U https://aclanthology.org/2020.semeval-1.288
%U https://doi.org/10.18653/v1/2020.semeval-1.288
%P 2171-2176
Markdown (Informal)
[SU-NLP at SemEval-2020 Task 12: Offensive Language IdentifiCation in Turkish Tweets](https://aclanthology.org/2020.semeval-1.288) (Ozdemir & Yeniterzi, SemEval 2020)
ACL