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Computer Science

Computer Science ››2019,Vol. 46 ››Issue (11A): 103-107.

• Intelligent Computing • Previous Articles    Next Articles

Hierarchy Division of Compound Sentence with Non-saturated Relation Word via Neural Network

YANG Jin-cai, YANG Lu-lu, WANG Yan-yan, SHEN Xian-jun  

  1. (School of Computer,Central China Normal University,Wuhan 430079,China)
  • Online:2019-11-10Published:2019-11-20

Abstract:Hierarchical division of a compound sentence is the basis of syntactic structure analysis and semantic discrimination.However,the ellipsis of relational markers bring difficulties to the hierarchical division of a compound sentence.This paper combined dependency syntactic trees and word2vec word vector model to extract the syntactic structure and semantic features of compound sentences,then used the neural network to train a hierarchy division model for compound sentences with non-saturated relation word,and the hierarchical division test was carried out on the complex sentences in the test set.The test accuracy of test set is 74%.

Key words:Compound sentence with non-saturated relation word,Depen-dency grammar,Hierarchical division of compound sentence,Neural network,word2vec

CLC Number: 

  • TP751

Cite this article

YANG Jin-cai, YANG Lu-lu, WANG Yan-yan, SHEN Xian-jun. Hierarchy Division of Compound Sentence with Non-saturated Relation Word via Neural Network[J].Computer Science, 2019, 46(11A): 103-107.

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