@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://preview.aclanthology.org/author-degibert/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.''"
}