基于规则的双重否定识别——以“不v1不v2”为例(Double Negative Recognition Based on Rules——Taking “不v1不v2” as an Example)

Yu Wang (王昱)


Abstract
“不v1不v2”是汉语中典型的双重否定结构形式之一,它包括“不+助动词+不+v2”(不得不去)、“不+是+不v2”(不是不好)、述宾结构“不v1...不v2”(不认为他不去)等多种双重否定结构,情况复杂。本文以“不v1不v2”为例,结合“元语否定”、“动词叙实性”、“否定焦点”等概念,对“不v1不v2”进行了全面的考察,制定了“不v1不v2”双重否定结构的识别策略。根据识别策略,设计了双重否定自动识别程序,并在此过程中补充了助动词表、非叙实动词表等词库。最终,对28033句语料进行了识别,识别正确率为97.87%,召回率约为93.10%。
Anthology ID:
2020.ccl-1.1
Volume:
Proceedings of the 19th Chinese National Conference on Computational Linguistics
Month:
October
Year:
2020
Address:
Haikou, China
Venue:
CCL
SIG:
Publisher:
Chinese Information Processing Society of China
Note:
Pages:
1–9
Language:
Chinese
URL:
https://aclanthology.org/2020.ccl-1.1
DOI:
Bibkey:
Cite (ACL):
Yu Wang. 2020. 基于规则的双重否定识别——以“不v1不v2”为例(Double Negative Recognition Based on Rules——Taking “不v1不v2” as an Example). In Proceedings of the 19th Chinese National Conference on Computational Linguistics, pages 1–9, Haikou, China. Chinese Information Processing Society of China.
Cite (Informal):
基于规则的双重否定识别——以“不v1不v2”为例(Double Negative Recognition Based on Rules——Taking “不v1不v2” as an Example) (Wang, CCL 2020)
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