计算机科学

计算机科学 ›› 2022, Vol. 49 ›› Issue (6A): 133-139.doi: 10.11896/jsjkx.210400132

• 智能计算 • 上一篇    下一篇

军事指控保障领域命名实体识别语料库的构建

杜晓明, 袁清波, 杨帆, 姚奕, 蒋祥   

  1. 陆军工程大学指挥控制工程学院 南京 210007
  • 出版日期:2022-06-10 发布日期:2022-06-08
  • 通讯作者: 袁清波(12661967@qq.com)
  • 作者简介:(bdar@163.com)
  • 基金资助:
    全军军事类研究生资助课题(JY2019C078)

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).

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摘要： 军事指控保障领域知识图谱的构建是军队信息化装备保障过程中的一个重要研究方向。针对保障领域知识图谱构建中命名实体识别模型缺乏相应基础训练语料库的现状,在分析相关研究现状的基础上,设计并实现了一个基于PyQt5应用程序基本框架的GUI命名实体识别语料库构建系统。首先,简要说明了系统整体架构和语料处理技术流程;其次,详细介绍了系统的数据预处理、标注体系、自动标注、标注分析和编码转换五大功能模块的相关内容,其中自动标注功能模块中的自动标注和自动去重算法的实现是重难点,也是整个系统的核心;最后,通过PyQt5应用程序基本框架和各类功能组件对各功能模块进行了图形用户界面实现。本系统的设计与实现,可以在军队专用电脑上对各种原始装备手册进行自动化处理,快速生成命名实体识别模型训练所需语料库,从而为后续构建相应领域知识图谱提供有效技术支持。

关键词: 军事指控保障, 命名实体识别, 语料库, 知识图谱, 自动标注

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

中图分类号: 

  • TP391
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