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        <title>UIT-ISE-NLP at SemEval-2021 Task 5: Toxic Spans Detection with BiLSTM-CRF and ToxicBERT Comment Classification</title>
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    <abstract>We present our works on SemEval-2021 Task 5 about Toxic Spans Detection. This task aims to build a model for identifying toxic words in whole posts. We use the BiLSTM-CRF model combining with ToxicBERT Classification to train the detection model for identifying toxic words in posts. Our model achieves 62.23% by F1-score on the Toxic Spans Detection task.</abstract>
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%0 Conference Proceedings
%T UIT-ISE-NLP at SemEval-2021 Task 5: Toxic Spans Detection with BiLSTM-CRF and ToxicBERT Comment Classification
%A Luu, Son T.
%A Nguyen, Ngan
%Y Palmer, Alexis
%Y Schneider, Nathan
%Y Schluter, Natalie
%Y Emerson, Guy
%Y Herbelot, Aurelie
%Y Zhu, Xiaodan
%S Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F luu-nguyen-2021-uit
%X We present our works on SemEval-2021 Task 5 about Toxic Spans Detection. This task aims to build a model for identifying toxic words in whole posts. We use the BiLSTM-CRF model combining with ToxicBERT Classification to train the detection model for identifying toxic words in posts. Our model achieves 62.23% by F1-score on the Toxic Spans Detection task.
%R 10.18653/v1/2021.semeval-1.113
%U https://aclanthology.org/2021.semeval-1.113
%U https://doi.org/10.18653/v1/2021.semeval-1.113
%P 846-851

Markdown (Informal)

[UIT-ISE-NLP at SemEval-2021 Task 5: Toxic Spans Detection with BiLSTM-CRF and ToxicBERT Comment Classification](https://aclanthology.org/2021.semeval-1.113) (Luu & Nguyen, SemEval 2021)

• UIT-ISE-NLP at SemEval-2021 Task 5: Toxic Spans Detection with BiLSTM-CRF and ToxicBERT Comment Classification (Luu & Nguyen, SemEval 2021)

ACL

• Son T. Luu and Ngan Nguyen. 2021. UIT-ISE-NLP at SemEval-2021 Task 5: Toxic Spans Detection with BiLSTM-CRF and ToxicBERT Comment Classification. In Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), pages 846–851, Online. Association for Computational Linguistics.