@inproceedings{huo-chen-2024-ancient,
    title = "{A}ncient {C}hinese Sentence Segmentation and Punctuation on Xunzi {LLM}",
    author = "Huo, Shitu  and
      Chen, Wenhui",
    editor = "Sprugnoli, Rachele  and
      Passarotti, Marco",
    booktitle = "Proceedings of the Third Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA) @ LREC-COLING-2024",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.lt4hala-1.29",
    pages = "242--245",
    abstract = "This paper describes the system submitted for the EvaHan 2024 Task on ancient Chinese sentence segmentation and punctuation. Our study utillizes the Xunzi large language model as the base model to evaluate the overall performance and the performance by record type. The applied methodologies and the prompts utilized in our study have shown to be helpful and effective in aiding the model{'}s performance evaluation.",
}

This paper describes the system submitted for the EvaHan 2024 Task on ancient Chinese sentence segmentation and punctuation. Our study utillizes the Xunzi large language model as the base model to evaluate the overall performance and the performance by record type. The applied methodologies and the prompts utilized in our study have shown to be helpful and effective in aiding the model{'}s performance evaluation.
Huo, Shitu Chen, Wenhui
Ancient Chinese Sentence Segmentation and Punctuation on Xunzi LLM