Computer Science ›› 2022, Vol. 49 ›› Issue (6A): 133-139.doi: 10.11896/jsjkx.210400132

• Intelligent Computing • Previous Articles     Next Articles

Construction of Named Entity Recognition Corpus in Field of Military Command and Control Support

DU Xiao-ming, YUAN Qing-bo, YANG Fan, YAO Yi, JIANG Xiang   

  1. College of Command and Control Engineering,Army Engineering University of PLA,Nanjing 210007,China
  • Online:2022-06-10 Published:2022-06-08
  • About author:DU Xiao-ming,born in 1970,Ph.D,professor,Ph.D supervisor.His main research interests include NLP and knowledge graph.
    YUAN Qing-bo,born in 1989,postgra-duate.His main research interests include NLP and knowledge graph.
  • Supported by:
    Military Postgraduate Funding Projects of the PLA(JY2019C078).

Abstract: The construction of the knowledge graph in the field of military command and control support is an important research direction in the process of the military information equipment support.Aiming at the current situation that the named entity re-cognition model lacks the corresponding basic training corpus in the construction of the guarantee domain knowledge graph,based on the analysis of the relevant research status,this paper designs and implements a GUI named entity recognition corpus construction system based on the basic framework of the PyQt5 application program.First,it briefly describes the overall system architecture and corpus processing technical process.Secondly,it introduces the system's data preprocessing,labeling system,automatic labeling,labeling analysis and coding conversion related content in five major functional modules.Among them,the automatic labeling function module is automatic.The implementation of automatic labeling and the realization of automatic de-duplication algorithm is the most important and difficult point,and also is the core of the entire system.Finally,the graphical user interface of each functional module is implemented through the basic framework of the PyQt5 application program and various functional components.The design and implementation of this system can automatically process various original equipment manuals on military computers,and quickly generate the corpus required for named entity recognition model training,so as to provide effective technical support for the subsequent construction of the corresponding domain knowledge graph.

Key words: Automatic annotation, Corpus, Knowledge graph, Military command and control support, Named entity recognition

CLC Number: 

  • TP391
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