@inproceedings{zhou-hong-zhao-2025-ji,
    title = "基于构式知识本体抽取评价名词的评价对象",
    author = "周红照, 周红照",
    editor = "Sun, Maosong  and
      Duan, Peiyong  and
      Liu, Zhiyuan  and
      Xu, Ruifeng  and
      Sun, Weiwei",
    booktitle = "Proceedings of the 24th {C}hina National Conference on Computational Linguistics ({CCL} 2025)",
    month = aug,
    year = "2025",
    address = "Jinan, China",
    publisher = "Chinese Information Processing Society of China",
    url = "https://preview.aclanthology.org/ingest-ccl/2025.ccl-1.17/",
    pages = "227--236",
    abstract = "``针对中文评价对象抽取缺少评价名词的专门研究和深层情感知识本体的问题,提出构式知识本体驱动的评价名词{---}评价对象抽取方法。根据评价对象在情感构式中充当何种句法成分,归纳概括出主语型、定语型、同位语型等九种情感构式;提炼九种情感构式的意义模式,精准指出机器自动识别每一意义模式中的评价对象所依据的形式特征;定义形式符号与逻辑运算规则,把九种模式及其形式特征转化为机器可读的形式语言;创建语义词典与情感构式规则库,编程实现为评价名词{---}评价对象智能抽取系统CUCNsas。实验结果表明:CUCNsas在1万条《人民日报》和《新闻联播》测试语料上的准确率为88.3{\%}、召回率为82.1{\%}、F1值为85.1{\%}。在中文评价名词{---}评价对象抽取任务上,着眼于句子整体形-义配对关系的构式语法,相较于语义特征法、短语结构文法和依存语法更具优势。''"
}