Computer Science ›› 2018, Vol. 45 ›› Issue (11A): 12-16.

• Review • Previous Articles     Next Articles

Survey of Query-oriented Automatic Summarization Technology

WANG Kai-xiang   

  1. School of Information Resource Management,Renmin University of China,Beijing 100872,China
  • Online:2019-02-26 Published:2019-02-26

Abstract: This paper systematically combed the query-oriented automatic summarization technology,analyzed the basic ideas,advantages and disadvantages of the methods used,and summarized the future development direction.By analyzing,four kinds of query-oriented automatic summarization were summarized:the method based on graph model,the method based on machine learning,the method based on clustering and other methods.In the future,the method based on neural network and multi model fusion will become the focus of future research.In the application level,it will become a trend to study the algorithm combining with the actual application scene.

Key words: Graph model, Manifold ranking, Neural network, Summarization, Topic model

CLC Number: 

  • TP391
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