@inproceedings{pei-etal-2025-overview,
title = "Overview of {CCL}25-Eval Task 5: {C}hinese Classical Poetry Appreciation Evaluation ({CCPA}) Task",
author = "Pei, Zhenwu and
Zhu, Yingjie and
Chen, Rongbo and
Bai, Xuefeng and
Chen, Kehai and
Zhang, Min",
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-2.26/",
pages = "212--219",
abstract = "``This paper presents a review of CCL2025-Eval Task 5: Appreciation Evaluation (CCPA). The primary aim of this task is to evaluate the ability of lan-guage models in performing deep semantic understanding and aesthetic appreciation of Chinese classical poetry. The evaluation comprises two tracks: (1) Poetic content understanding, which examines models' ability to interpret both fine-grained and coarse-grained semantics; (2) Poetic emotion recognition, which evaluates models' capacity to identify and analyze emotional expressions. A total of 55 teams registered for the task, among which 7 teams provided valid submissions. The paper provides an in-depth analysis of the submissions and results from all participating teams.''"
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<abstract>“This paper presents a review of CCL2025-Eval Task 5: Appreciation Evaluation (CCPA). The primary aim of this task is to evaluate the ability of lan-guage models in performing deep semantic understanding and aesthetic appreciation of Chinese classical poetry. The evaluation comprises two tracks: (1) Poetic content understanding, which examines models’ ability to interpret both fine-grained and coarse-grained semantics; (2) Poetic emotion recognition, which evaluates models’ capacity to identify and analyze emotional expressions. A total of 55 teams registered for the task, among which 7 teams provided valid submissions. The paper provides an in-depth analysis of the submissions and results from all participating teams.”</abstract>
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%0 Conference Proceedings
%T Overview of CCL25-Eval Task 5: Chinese Classical Poetry Appreciation Evaluation (CCPA) Task
%A Pei, Zhenwu
%A Zhu, Yingjie
%A Chen, Rongbo
%A Bai, Xuefeng
%A Chen, Kehai
%A Zhang, Min
%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 pei-etal-2025-overview
%X “This paper presents a review of CCL2025-Eval Task 5: Appreciation Evaluation (CCPA). The primary aim of this task is to evaluate the ability of lan-guage models in performing deep semantic understanding and aesthetic appreciation of Chinese classical poetry. The evaluation comprises two tracks: (1) Poetic content understanding, which examines models’ ability to interpret both fine-grained and coarse-grained semantics; (2) Poetic emotion recognition, which evaluates models’ capacity to identify and analyze emotional expressions. A total of 55 teams registered for the task, among which 7 teams provided valid submissions. The paper provides an in-depth analysis of the submissions and results from all participating teams.”
%U https://aclanthology.org/2025.ccl-2.26/
%P 212-219
Markdown (Informal)
[Overview of CCL25-Eval Task 5: Chinese Classical Poetry Appreciation Evaluation (CCPA) Task](https://aclanthology.org/2025.ccl-2.26/) (Pei et al., CCL 2025)
ACL