@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://aclanthology.org/2022.ccl-1.3",
pages = "24--34",
abstract = "{``}双重否定结构是一种{``}通过两次否定表示肯定意义{''}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{``}$eg$ $eg$ P== extgreater P{''}为标准,对现代汉语中所有的{``}否定词+否定词{''}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。{''}",
language = "Chinese",
}
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<abstract>“双重否定结构是一种“通过两次否定表示肯定意义”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“eg eg P== extgreater P”为标准,对现代汉语中所有的“否定词+否定词”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。”</abstract>
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%0 Conference Proceedings
%T 双重否定结构自动识别研究(The Research on Automatic Recognition of the Double Negation Structure)
%A Wang, Yu
%A Yuan, Yulin
%Y Sun, Maosong
%Y Liu, Yang
%Y Che, Wanxiang
%Y Feng, Yang
%Y Qiu, Xipeng
%Y Rao, Gaoqi
%Y Chen, Yubo
%S Proceedings of the 21st Chinese National Conference on Computational Linguistics
%D 2022
%8 October
%I Chinese Information Processing Society of China
%C Nanchang, China
%G Chinese
%F wang-etal-2022-shuang
%X “双重否定结构是一种“通过两次否定表示肯定意义”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“eg eg P== extgreater P”为标准,对现代汉语中所有的“否定词+否定词”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。”
%U https://aclanthology.org/2022.ccl-1.3
%P 24-34
Markdown (Informal)
[双重否定结构自动识别研究(The Research on Automatic Recognition of the Double Negation Structure)](https://aclanthology.org/2022.ccl-1.3) (Wang & Yuan, CCL 2022)
ACL