@inproceedings{hanahata-aono-2020-kdelab,
    title = "{KDELAB} at {S}em{E}val-2020 Task 12: A System for Estimating Aggression of Tweets Using Two Layers of {BERT} Features",
    author = "Hanahata, Keisuke  and
      Aono, Masaki",
    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://preview.aclanthology.org/ingest-emnlp/2020.semeval-1.268/",
    doi = "10.18653/v1/2020.semeval-1.268",
    pages = "2030--2034",
    abstract = "In recent years, with the development of social network services and video distribution services, there has been a sharp increase in offensive posts. In this paper, we present our approach for detecting hate speech in tweets defined in the SemEval- 2020 Task 12. Our system precise classification by using features extracted from two different layers of a pre-trained model, the BERT-large, and ensemble them."
}