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        <title>K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment</title>
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        <namePart type="given">Soyeon</namePart>
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    <abstract>Online hate speech detection has become an important issue due to the growth of online content, 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 a multi-label classification using 1 to 4 labels, and handles subjectivity and intersectionality. We evaluate strong baselines on K-MHaS. KR-BERT with a sub-character tokenizer outperforms others, recognizing decomposed characters in each hate speech class.</abstract>
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%0 Conference Proceedings
%T K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment
%A Lee, Jean
%A Lim, Taejun
%A Lee, Heejun
%A Jo, Bogeun
%A Kim, Yangsok
%A Yoon, Heegeun
%A Han, Soyeon Caren
%S Proceedings of the 29th International Conference on Computational Linguistics
%D 2022
%8 October
%I International Committee on Computational Linguistics
%C Gyeongju, Republic of Korea
%F lee-etal-2022-k
%X Online hate speech detection has become an important issue due to the growth of online content, 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 a multi-label classification using 1 to 4 labels, and handles subjectivity and intersectionality. We evaluate strong baselines on K-MHaS. KR-BERT with a sub-character tokenizer outperforms others, recognizing decomposed characters in each hate speech class.
%U https://aclanthology.org/2022.coling-1.311
%P 3530-3538

Markdown (Informal)

[K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment](https://aclanthology.org/2022.coling-1.311) (Lee et al., COLING 2022)

• K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment (Lee et al., COLING 2022)

ACL

• Jean Lee, Taejun Lim, Heejun Lee, Bogeun Jo, Yangsok Kim, Heegeun Yoon, and Soyeon Caren Han. 2022. K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment. In Proceedings of the 29th International Conference on Computational Linguistics, pages 3530–3538, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.