Papers by Kaan Büyükdemirci
JL-Hate: An Annotated Dataset for Joint Learning of Hate Speech and Target Detection (2024.lrec-main)
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| Challenge: | Existing data resources for the detection of hate speech focus on text sequence classification, but the target of hateful content is lacking. |
| Approach: | They propose a tweet dataset for the task of joint learning of hate speech detection and target detection called JL-Hate. |
| Outcome: | The proposed dataset performs similar tasks to the existing datasets in sequence and token classification tasks. |