@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://aclanthology.org/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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T KDELAB at SemEval-2020 Task 12: A System for Estimating Aggression of Tweets Using Two Layers of BERT Features
%A Hanahata, Keisuke
%A Aono, Masaki
%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 hanahata-aono-2020-kdelab
%X 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.
%R 10.18653/v1/2020.semeval-1.268
%U https://aclanthology.org/2020.semeval-1.268
%U https://doi.org/10.18653/v1/2020.semeval-1.268
%P 2030-2034
Markdown (Informal)
[KDELAB at SemEval-2020 Task 12: A System for Estimating Aggression of Tweets Using Two Layers of BERT Features](https://aclanthology.org/2020.semeval-1.268) (Hanahata & Aono, SemEval 2020)
ACL