@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://aclanthology.org/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."
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<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.</abstract>
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%0 Conference Proceedings
%T DeftPunk at SemEval-2020 Task 6: Using RNN-ensemble for the Sentence Classification.
%A Kaparina, Jekaterina
%A Soboleva, Anna
%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 kaparina-soboleva-2020-deftpunk
%X 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.
%R 10.18653/v1/2020.semeval-1.91
%U https://aclanthology.org/2020.semeval-1.91/
%U https://doi.org/10.18653/v1/2020.semeval-1.91
%P 697-703
Markdown (Informal)
[DeftPunk at SemEval-2020 Task 6: Using RNN-ensemble for the Sentence Classification.](https://aclanthology.org/2020.semeval-1.91/) (Kaparina & Soboleva, SemEval 2020)
ACL