Abstract
"This paper provides an overview of the CCL25-Eval Task 10, i.e., Fine-grained Chinese Hate Speech Identification Evaluation. The primary objective of this task is to perform a fine-grained analysis of hateful samples. In addition to binary classification, systems are required to identify and extract the comment target, argument span, and the associated targeted group within each sample, thereby enhancing the model’s capability in fine-grained detection and improving the interpretability of its decisions. In total, more than 300 teams registered for the task, with 100 teams submitting valid results. We present the submitted results and provide a comprehensive analysis of the technical approaches adopted by the top-performing teams. The dataset used in this task has been available."
- Anthology ID:
- 2025.ccl-2.46
- Volume:
- Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)
- Month:
- August
- Year:
- 2025
- Address:
- Jinan, China
- Editors:
- Hongfei Lin, Bin Li, Hongye Tan
- Venue:
- CCL
- SIG:
- Publisher:
- Chinese Information Processing Society of China
- Note:
- Pages:
- 387–394
- Language:
- URL:
- https://aclanthology.org/2025.ccl-2.46/
- DOI:
- Bibkey:
- Cite (ACL):
- Junyu Lu, Zewen Bai, Shengdi Yin, Liang Yang, and Hongfei Lin. 2025. Overview of CCL25-Eval Task 10: Fine-grained Chinese Hate Speech Identification Evaluation Task. In Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025), pages 387–394, Jinan, China. Chinese Information Processing Society of China.
- Cite (Informal):
- Overview of CCL25-Eval Task 10: Fine-grained Chinese Hate Speech Identification Evaluation Task (Lu et al., CCL 2025)
- Copy Citation:
- PDF:
- https://aclanthology.org/2025.ccl-2.46.pdf