Papers by Soohwan Kim
K-HATERS: A Hate Speech Detection Corpus in Korean with Target-Specific Ratings (2023.findings-emnlp)
Copied to clipboard
| Challenge: | Existing datasets on hate speech detection focus on overt forms of hate . however, a majority of these resources are English-centric, focusing on overtones of hate. |
| Approach: | They propose a new corpus for hate speech detection in Korean with target-specific offensiveness ratings that offer a three-point Likert scale. |
| Outcome: | The proposed corpus is the largest offensive language corpus in Korean and offers target-specific ratings on a three-point Likert scale. |