Computer Science

Computer Science ›› 2021, Vol. 48 ›› Issue (11A): 124-129.doi: 10.11896/jsjkx.210100226

• Intelligent Computing • Previous Articles     Next Articles

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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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

CLC Number: 

  • TP391
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