一种基于NLP的技术体制符合性审查方法  

An NLP Based Review Method for Compliance of Technical System

作　　者：樊志强[1,2] 凌冬怡 牛婵 FAN Zhi-qiang;LING Dong-yi;NIU Chan(North China Institute of Computing Technology, Beijing 100083, China;Military Academy of Sciences, Beijing 100091, China)

机构地区：[1]华北计算技术研究所,北京100083 [2]军事科学院,北京100091

出　　处：《计算机与现代化》2021年第9期63-67,82,共6页Computer and Modernization

基　　金：中电太极集团技术创新基金资助项目(19010201)。

摘　　要：技术体制符合性审查是信息系统立项时的一个重要环节,是对新立项系统在体系中的定位作用和标准符合性的一个有效评估,也是对项目风险控制的一种重要措施。而目前对于技术体制符合性审查验证通常以人工审查、专家经验判断为主,缺乏有效的技术支撑手段。本文研究以自然语言处理(NLP)为主要技术手段的技术体制审查方法,提出针对技术体制审查的NLP命名实体识别算法,并基于技术体制审查业务和审查算法,实现技术体制审查系统。Technical system compliance review is an important work before the information system project is approved.It is an effective assessment of the new project approval system's positioning role in the system and standard compliance,and it is also an important measure for project risk control.At present,there is a lack of effective technical means to review and verify the compliance of technical system and standards.The commonly used method is manual review based on expert's experiments.This paper studies the implementation method of technical system compliance review.Taking Natural Language Processing(NLP)as the main technology,the NLP named entity recognition algorithm for technical regime review is proposed.Based on the technical regime review business and review algorithm,the technical regime review system is implemented.

关 键 词：技术体制 符合性审查 命名实体识别 

分 类 号：TP306[自动化与计算机技术—计算机系统结构]