@inproceedings{das-etal-2020-kafk-semeval,
title = "{KAFK} at {S}em{E}val-2020 Task 12: Checkpoint Ensemble of Transformers for Hate Speech Classification",
author = "Das, Kaushik Amar and
Baruah, Arup and
Barbhuiya, Ferdous Ahmed and
Dey, Kuntal",
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-1.267",
doi = "10.18653/v1/2020.semeval-1.267",
pages = "2023--2029",
abstract = "This paper presents the approach of Team KAFK for the English edition of SemEval-2020 Task 12. We use checkpoint ensembling to create ensembles of BERT-based transformers and show that it can improve the performance of classification systems. We explore attention mask dropout to mitigate for the poor constructs of social media texts. Our classifiers scored macro-f1 of 0.909, 0.551 and 0.616 for subtasks A, B and C respectively. The code is publicly released online.",
}
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<abstract>This paper presents the approach of Team KAFK for the English edition of SemEval-2020 Task 12. We use checkpoint ensembling to create ensembles of BERT-based transformers and show that it can improve the performance of classification systems. We explore attention mask dropout to mitigate for the poor constructs of social media texts. Our classifiers scored macro-f1 of 0.909, 0.551 and 0.616 for subtasks A, B and C respectively. The code is publicly released online.</abstract>
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%0 Conference Proceedings
%T KAFK at SemEval-2020 Task 12: Checkpoint Ensemble of Transformers for Hate Speech Classification
%A Das, Kaushik Amar
%A Baruah, Arup
%A Barbhuiya, Ferdous Ahmed
%A Dey, Kuntal
%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 das-etal-2020-kafk-semeval
%X This paper presents the approach of Team KAFK for the English edition of SemEval-2020 Task 12. We use checkpoint ensembling to create ensembles of BERT-based transformers and show that it can improve the performance of classification systems. We explore attention mask dropout to mitigate for the poor constructs of social media texts. Our classifiers scored macro-f1 of 0.909, 0.551 and 0.616 for subtasks A, B and C respectively. The code is publicly released online.
%R 10.18653/v1/2020.semeval-1.267
%U https://aclanthology.org/2020.semeval-1.267
%U https://doi.org/10.18653/v1/2020.semeval-1.267
%P 2023-2029
Markdown (Informal)
[KAFK at SemEval-2020 Task 12: Checkpoint Ensemble of Transformers for Hate Speech Classification](https://aclanthology.org/2020.semeval-1.267) (Das et al., SemEval 2020)
ACL