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K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment

2022-08-23 02:10:53
Jean Lee, Taejun Lim, Heejun Lee, Bogeun Jo, Yangsok Kim, Heegeun Yoon, Soyeon Caren Han
arXiv_AI
           
Abstract

Online Hate speech detection has become important with the growth of digital devices, but resources in languages other than English are extremely limited. We introduce K-MHaS, a new multi-label dataset for hate speech detection that effectively handles Korean language patterns. The dataset consists of 109k utterances from news comments and provides multi-label classification from 1 to 4 labels, and handling subjectivity and intersectionality. We evaluate strong baselines on K-MHaS. KR-BERT with sub-character tokenizer outperforms, recognising decomposed characters in each hate speech class.

Abstract (translated)

URL

https://arxiv.org/abs/2208.10684

PDF

https://arxiv.org/pdf/2208.10684.pdf

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