@inproceedings{luu-nguyen-2021-uit,
    title = "{UIT}-{ISE}-{NLP} at {S}em{E}val-2021 Task 5: Toxic Spans Detection with {B}i{LSTM}-{CRF} and {T}oxic{BERT} Comment Classification",
    author = "Luu, Son T.  and
      Nguyen, Ngan",
    editor = "Palmer, Alexis  and
      Schneider, Nathan  and
      Schluter, Natalie  and
      Emerson, Guy  and
      Herbelot, Aurelie  and
      Zhu, Xiaodan",
    booktitle = "Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)",
    month = aug,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2021.semeval-1.113/",
    doi = "10.18653/v1/2021.semeval-1.113",
    pages = "846--851",
    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."
}