@inproceedings{lee-etal-2025-rocling,
    title = "{ROCLING}-2025 Shared Task: {C}hinese Dimensional Sentiment Analysis for Medical Self-Reflection Texts",
    author = "Lee, Lung-Hao  and
      Lin, Tzu-Mi  and
      Shih, Hsiu-Min  and
      Shyu, Kuo-Kai  and
      Hsu, Anna S.  and
      Lu, Peih-Ying",
    editor = "Chang, Kai-Wei  and
      Lu, Ke-Han  and
      Yang, Chih-Kai  and
      Tam, Zhi-Rui  and
      Chang, Wen-Yu  and
      Wang, Chung-Che",
    booktitle = "Proceedings of the 37th Conference on Computational Linguistics and Speech Processing (ROCLING 2025)",
    month = nov,
    year = "2025",
    address = "National Taiwan University, Taipei City, Taiwan",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/dashboard/2025.rocling-main.41/",
    pages = "375--380",
    ISBN = "979-8-89176-379-1",
    abstract = "This paper describes the ROCLING-2025 shared task aimed at Chinese dimensional sentiment analysis for medical self-refection texts, including task organization, data preparation, performance metrics, and evaluation results. A total of six participating teams submitted results for techniques developed for valence-arousal intensity prediction. All datasets with gold standards and evaluation scripts used in this shared task are publicly available online for further research."
}