@inproceedings{kaparina-soboleva-2020-deftpunk,
    title = "{D}eft{P}unk at {S}em{E}val-2020 Task 6: Using {RNN}-ensemble for the Sentence Classification.",
    author = "Kaparina, Jekaterina  and
      Soboleva, Anna",
    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/fix-sig-urls/2020.semeval-1.91/",
    doi = "10.18653/v1/2020.semeval-1.91",
    pages = "697--703",
    abstract = "This paper describes participation in DeftEval 2020 (part of SemEval sharing task competition), and is focused on the sentence classification. Our approach to the task was to create an ensemble of several RNNs combined with fasttext and ELMo embeddings. Results show that various types of models in an ensemble give a performance boost in comparison to standard models. Our model achieved F1-score of 78{\%} for a positive class on the DeftEval dataset."
}