@inproceedings{mengxi-etal-2024-zhong,
    title = "中文意合图语义解析评测",
    author = "Mengxi, Guo  and
      Meng, Li  and
      Zeying, Jin  and
      Xiaojing, Wu  and
      Gaoqi, Rao  and
      Gongbo, Tang  and
      Endong, Xun",
    editor = "Lin, Hongfei  and
      Tan, Hongye  and
      Li, Bin",
    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/jlcl-multiple-ingestion/2024.ccl-3.9/",
    pages = "80--86",
    language = "zho",
    abstract = "{\textquotedblleft}中文意合图是近年提出的中文语义表示方法。本次评测是首次基于意合图理论的语义分析评测,旨在探索面向意合图理论的语义计算方法,评估机器的语义分析能力。本次评测共有14支队伍报名,最终有7支队伍提交结果,其中有5支队伍提交技术报告与模型,均成功复现。在评测截止时间内,表现最好的队伍使用大语言模型LoRA微调方法获得了F1值为72.06{\%}的成绩。在最终提交技术报告的5支队伍中,有4支队伍使用了大语言模型微调方法,在一定程度上表明了目前技术发展的趋势。{\textquotedblright}"
}