Chinese Essay Rhetoric Recognition and Understanding (CERRU)

Nuowei Liu; Xinhao Chen; Yupei Ren; Man Lan; Xiaopeng Bai; Yuanbin Wu; Shaoguang Mao; Yan Xia

Chinese Essay Rhetoric Recognition and Understanding (CERRU)

Nuowei Liu, Xinhao Chen, Yupei Ren, Man Lan, Xiaopeng Bai, Yuanbin Wu, Shaoguang Mao, Yan Xia

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Abstract

“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.”

Anthology ID:: 2024.ccl-3.28
Volume:: Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)
Month:: July
Year:: 2024
Address:: Taiyuan, China
Editors:: Lin Hongfei, Tan Hongye, Li Bin
Venue:: CCL
SIG:
Publisher:: Chinese Information Processing Society of China
Note:
Pages:: 253–261
Language:: English
URL:: https://aclanthology.org/2024.ccl-3.28/
DOI:
Bibkey:
Cite (ACL):: Nuowei Liu, Xinhao Chen, Yupei Ren, Man Lan, Xiaopeng Bai, Yuanbin Wu, Shaoguang Mao, and Yan Xia. 2024. Chinese Essay Rhetoric Recognition and Understanding (CERRU). In Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations), pages 253–261, Taiyuan, China. Chinese Information Processing Society of China.
Cite (Informal):: Chinese Essay Rhetoric Recognition and Understanding (CERRU) (Liu et al., CCL 2024)
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PDF:: https://aclanthology.org/2024.ccl-3.28.pdf

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@inproceedings{nuowei-etal-2024-chinese,
    title = "{C}hinese Essay Rhetoric Recognition and Understanding ({CERRU})",
    author = "Liu, Nuowei  and
      Chen, Xinhao  and
      Ren, Yupei  and
      Lan, Man  and
      Bai, Xiaopeng  and
      Wu, Yuanbin  and
      Mao, Shaoguang  and
      Xia, Yan",
    editor = "Hongfei, Lin  and
      Hongye, Tan  and
      Bin, Li",
    booktitle = "Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)",
    month = jul,
    year = "2024",
    address = "Taiyuan, China",
    publisher = "Chinese Information Processing Society of China",
    url = "https://aclanthology.org/2024.ccl-3.28/",
    pages = "253--261",
    language = "eng",
    abstract = "``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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%0 Conference Proceedings
%T Chinese Essay Rhetoric Recognition and Understanding (CERRU)
%A Liu, Nuowei
%A Chen, Xinhao
%A Ren, Yupei
%A Lan, Man
%A Bai, Xiaopeng
%A Wu, Yuanbin
%A Mao, Shaoguang
%A Xia, Yan
%Y Hongfei, Lin
%Y Hongye, Tan
%Y Bin, Li
%S Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)
%D 2024
%8 July
%I Chinese Information Processing Society of China
%C Taiyuan, China
%G eng
%F nuowei-etal-2024-chinese
%X “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.”
%U https://aclanthology.org/2024.ccl-3.28/
%P 253-261

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Markdown (Informal)

[Chinese Essay Rhetoric Recognition and Understanding (CERRU)](https://aclanthology.org/2024.ccl-3.28/) (Liu et al., CCL 2024)

Chinese Essay Rhetoric Recognition and Understanding (CERRU) (Liu et al., CCL 2024)

ACL

Nuowei Liu, Xinhao Chen, Yupei Ren, Man Lan, Xiaopeng Bai, Yuanbin Wu, Shaoguang Mao, and Yan Xia. 2024. Chinese Essay Rhetoric Recognition and Understanding (CERRU). In Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations), pages 253–261, Taiyuan, China. Chinese Information Processing Society of China.