@inproceedings{wang-etal-2022-shuang,
    title = "双重否定结构自动识别研究(The Research on Automatic Recognition of the Double Negation Structure)",
    author = "Wang, Yu  and
      Yuan, Yulin",
    editor = "Sun, Maosong  and
      Liu, Yang  and
      Che, Wanxiang  and
      Feng, Yang  and
      Qiu, Xipeng  and
      Rao, Gaoqi  and
      Chen, Yubo",
    booktitle = "Proceedings of the 21st Chinese National Conference on Computational Linguistics",
    month = oct,
    year = "2022",
    address = "Nanchang, China",
    publisher = "Chinese Information Processing Society of China",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2022.ccl-1.3/",
    pages = "24--34",
    language = "zho",
    abstract = "{\textquotedblleft}双重否定结构是一种{\textquotedblleft}通过两次否定表示肯定意义{\textquotedblright}的特殊结构,其存在会对自然语言处理中的语义判断与情感分类产生重要影响。本文以{\textquotedblleft}$eg$ $eg$ P== extgreater P{\textquotedblright}为标准,对现代汉语中所有的{\textquotedblleft}否定词+否定词{\textquotedblright}结构进行了遍历研究,将双重否定结构按照格式分为了3大类,25小类,常用双重否定结构或构式132个。结合动词的叙实性、否定焦点、语义否定与语用否定等相关理论,本文归纳了双重否定结构的三大成立条件,并据此设计实现了基于规则的双重否定结构自动识别程序。程序实验的精确率为98.85{\%},召回率为98.90{\%},F1值为98.85{\%}。同时,程序还从96281句语料中获得了8640句精确率约为99{\%}的含有双重否定结构的句子,为后续基于统计的深度学习模型提供了语料支持的可能。{\textquotedblright}"
}