基于规则的有标复句关系的自动识别
计算机科学

计算机科学 ›› 2021, Vol. 48 ›› Issue (11A): 124-129.doi: 10.11896/jsjkx.210100226

• 智能计算 • 上一篇    下一篇

基于规则的有标复句关系的自动识别

杨进才1, 胡巧玲1, 胡泉2   

  1. 1 华中师范大学计算机学院 武汉430079
    2 华中师范大学人工智能教育学部 武汉430079
  • 出版日期:2021-11-10 发布日期:2021-11-12
  • 通讯作者: 杨进才(jcyang@mail.ccnu.edu.cn)
  • 基金资助:
    国家社科基金(19BYY092)

Rule-based Automatic Recognition of Relations for Marked Complex Sentences

YANG Jin-cai1, HU Qiao-ling1, HU Quan2   

  1. 1 School of Computer,Central China Normal University,Wuhan 430079,China
    2 Faculty of Artificial Intelligence in Education,Central China Normal University,Wuhan 430079,China
  • Online:2021-11-10 Published:2021-11-12
  • About author:YANG Jin-cai,born in 1967,doctor,professor,doctoral supervisor,is a member of China Computer Federation.His main research interests include modern database and information system,Chinese information processing,artificial intelligence and natural language processing.
  • Supported by:
    National Social Science Fundation of China(19BYY092).

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摘要： 汉语复句的语义表达复杂,复句关系分类问题作为汉语篇章研究与应用的重要内容,一直是自然语言处理领域关注的热点。文中总结与挖掘出复句类别自动识别的十几类字面、句法特征,将特征形式化为规则,用关系词触发规则的机制,对有标复句进行十二类关系类别的识别。实验结果表明该方法取得了较高的准确率,优于现有的方法。

关键词: 复句关系分类, 规则, 有标复句, 自动识别

Abstract: Semantic expression of Chinese complex sentences is complicated.As an important content of Chinese discourse studies,complex sentences classification has always been a hot spot in the field of natural language processing.This paper summarizes and excavates more than ten types of literal and syntactic features for automatic identification of complex sentence categories,formalizes the features and constitutes rules,and uses the mechanism of relational words to trigger the rules to identify twelve types of relationship categories for marked complex sentences.Experimental results show that this method has achieved a higher accuracy rate,which is better than the existing methods.

Key words: Automatic recognition, Complex sentence classification, Marked complex sentences, Rules

中图分类号: 

  • TP391
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