Bai Xiaopeng


2024

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Chinese Essay Rhetoric Recognition and Understanding (CERRU)
Liu Nuowei | Chen Xinhao | Ren Yupei | Lan Man | Bai Xiaopeng | Wu Yuanbin | Mao Shaoguang | Xia Yan
Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)

“Rhetoric is fundamental to the reading comprehension and writing skills of primary and middle school students. However, current work independently recognize single coarse-grained categories or fine-grained categories. In this paper, we propose the CCL24-Eval Task6: Chinese Essay Rhetoric Recognition and Understanding (CERRU), consisting of 3 tracks: (1) Fine-grained Form-level Categories Recognition, (2) Fine-grained Content-level Categories Recognition and (3) Rhetorical Component Extraction. A total of 32 teams registered to participate in CERRU and 9 teams submitted evaluation results, with 7 of these teams achieving an overall score that surpassed the baseline.”

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Chinese Essay Fluency Evaluation (CEFE) Task
Zhuang Xinlin | Shen Xinshu | Wu Hongyi | Lan Man | Bai Xiaopeng | Wu Yuanbin | Zhou Aimin | Mao Shaoguang
Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)

“This paper presents a detailed review of Task 7 in the CCL24-Eval: the second Chinese Essay Fluency Evaluation (CEFE). The task aims to identify fine-grained grammatical errors that impair readability and coherence in essays authored by Chinese primary and secondary school students, evaluate the essays’ fluency levels, and recommend corrections to improve their written fluency. The evaluation comprises three tracks: (1) Coarse-grained and fine-grained error identification; (2) Error sentence rewriting; and (3) Essay Fluency Level Recognition. We garnered 29 completed registrations, resulting in 180 submissions from 10 dedicated teams. The paper discusses the submissions and analyzes the results from all participating teams.”