@inproceedings{wang-etal-2025-overview-ccl25,
title = "Overview of {CCL}25-Eval Task 11: Evaluation of the Quality of Handwritten {C}hinese Characters",
author = "Wang, Meng and
Lu, Shicong and
Hu, Zhidan and
Su, Chen and
Cao, Yujie",
editor = "Lin, Hongfei and
Li, Bin and
Tan, Hongye",
booktitle = "Proceedings of the 24th {C}hina National Conference on Computational Linguistics ({CCL} 2025)",
month = aug,
year = "2025",
address = "Jinan, China",
publisher = "Chinese Information Processing Society of China",
url = "https://aclanthology.org/2025.ccl-2.54/",
pages = "452--460",
abstract = "``As an important means of disseminating Chinese cultural heritage, the development of Chinese handwriting skills faces dual challenges in the digital era: insufficient pedagogical resources anda lack of personalized feedback. At the 24th China National Conference on Computational Linguistics (CCL 2025), we organized a handwritten Chinese character evaluation task focusing on writing quality grading and comments generation. This benchmark utilized an expert-annotated calligraphic dataset to enhance task efficacy. Eight teams participated in the evaluation, three ofwhich submitted valid entries. In the character grading subtask, the top-performing team achieved an F1-score of 90.5{\%}, whereas the optimal system in the comments generation subtask attained a score of 52.8{\%}.''"
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<abstract>“As an important means of disseminating Chinese cultural heritage, the development of Chinese handwriting skills faces dual challenges in the digital era: insufficient pedagogical resources anda lack of personalized feedback. At the 24th China National Conference on Computational Linguistics (CCL 2025), we organized a handwritten Chinese character evaluation task focusing on writing quality grading and comments generation. This benchmark utilized an expert-annotated calligraphic dataset to enhance task efficacy. Eight teams participated in the evaluation, three ofwhich submitted valid entries. In the character grading subtask, the top-performing team achieved an F1-score of 90.5%, whereas the optimal system in the comments generation subtask attained a score of 52.8%.”</abstract>
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%0 Conference Proceedings
%T Overview of CCL25-Eval Task 11: Evaluation of the Quality of Handwritten Chinese Characters
%A Wang, Meng
%A Lu, Shicong
%A Hu, Zhidan
%A Su, Chen
%A Cao, Yujie
%Y Lin, Hongfei
%Y Li, Bin
%Y Tan, Hongye
%S Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)
%D 2025
%8 August
%I Chinese Information Processing Society of China
%C Jinan, China
%F wang-etal-2025-overview-ccl25
%X “As an important means of disseminating Chinese cultural heritage, the development of Chinese handwriting skills faces dual challenges in the digital era: insufficient pedagogical resources anda lack of personalized feedback. At the 24th China National Conference on Computational Linguistics (CCL 2025), we organized a handwritten Chinese character evaluation task focusing on writing quality grading and comments generation. This benchmark utilized an expert-annotated calligraphic dataset to enhance task efficacy. Eight teams participated in the evaluation, three ofwhich submitted valid entries. In the character grading subtask, the top-performing team achieved an F1-score of 90.5%, whereas the optimal system in the comments generation subtask attained a score of 52.8%.”
%U https://aclanthology.org/2025.ccl-2.54/
%P 452-460
Markdown (Informal)
[Overview of CCL25-Eval Task 11: Evaluation of the Quality of Handwritten Chinese Characters](https://aclanthology.org/2025.ccl-2.54/) (Wang et al., CCL 2025)
ACL