An NLP Based Review Method for Compliance of Technical System

Abstract

Abstract: 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.

Key words: technical system, compliance review, NER

FAN Zhi-qiang, LING Dong-yi , NIU Chan. An NLP Based Review Method for Compliance of Technical System[J]. Computer and Modernization, 2021, 0(09): 63-67.

References ［23］

［1］	铁道第三勘察设计院. 铁路车站客运管理信息系统技术体制［Z］.
［2］	雷云. 新业务技术体制下气象信息系统建设思考［J］. 贵州气象, 2007(1):3-6.
［3］	周彦. C4ISR系统仿真技术体制研究［C］// 2007系统仿真技术及其应用学术会议论文集. 2007:4.
［4］	柳林,张磊. 军事信息系统技术体制管理初探［J］. 技术与创新管理, 2012,33(4):403-405.
［5］	曾瑞琪,刘方正,姜秋喜,等. 雷达通信一体化的六种主要技术体制［J］. 现代雷达, 2019,41(2):10-14.
［6］	吴红兵,李月芳,周曼. 军事电子信息系统技术体制分类与描述方法［J］. 信息技术, 2013,37(5):169-172.
［7］	李西娟. 综合电子信息系统技术体制分类方法［J］. 电子制作, 2014(5):136.
［8］	杨怡,芮平亮. 综合电子信息系统技术体制描述框架［J］. 指挥信息系统与技术, 2014,5(1):1-5.
［9］	薛晓飞,陈少华,张义武,等. 指挥信息系统综合集成体制兼容装备研制技术［J］. 指挥信息系统与技术, 2019,10(5):81-85.
［10］	张泽鑫,程栋,刘娜,等. 军事信息系统信息交换标准符合性测评方法研究与实现［J］. 中国电子科学研究院学报, 2019,14(12):1242-1248.
［11］	陈颖,宋文宾. 信息交换类标准符合性测试评价指标体系研究［J］. 舰船电子工程, 2020,40(11):145-147.
［12］	武伟. 交通运输数据标准符合性检测研究及系统开发［D］. 西安:长安大学, 2012.
［13］	房友园,齐璇. Web服务互操作标准符合性测试框架设计与实现［C］// 全国第20届计算机技术与应用学术会议(CACIS·2009)暨全国第1届安全关键技术与应用学术会议论文集(下册). 2009:7.
［14］	苗夺谦,卫志华. 中文文本信息处理的原理与应用［M］. 北京:清华大学出版社, 2007.
［15］	GRISHMAN R, SUNDHEIM B. Message understanding conference-6: A brief history［C］// Proceedings of the 16h International Conference on Computational Linguistics. 1996:466-471.
［16］	愈鸿魁,张华平,刘群. 基于层叠隐马尔科夫模型的中文命名实体识别［C］// 全国网络与信息安全技术研讨会. 2005:185-194.
［17］	林亚平,刘云中,周顺先,等. 基于最大嫡的HMN文本信息抽取［J］. 电子学报, 2005,33(2):236-240.
［18］	沈勤中,周国栋,朱巧明,等. 基于字位置概率特征的条件随机场中文分词方法［J］. 苏州大学学报, 2008,24(3):49-54.
［19］	MCCALLUM A, FREITAGD, PEREIRA F. Maxminum entropy Marko models for information extraction and segmentation［C］// Proceedings of the 17th ICML. 2000:591-598.
［20］	张素香,高国洋,戚银城. 基于条件随机场的中国人名识别方法［J］. 郑州大学学报(理学版), 2009,41(2):40-43.
［21］	YU K, KUROHASHI S, LIU H, et al. Chinese word segmentation and recognition by character tagging［C］// The 3rd International Chinese lauguage Processing Bakeoff. 2006:146-149.
［22］	蔡勋梁. 基于多层条件随机场模型的自然语言序列标注研究［D］. 北京:中国科学院自动化研究所, 2007.
［23］	洪铭材,张阔,唐杰，等. 基于条件随机场(CRFs)的中文词性标注方法［J］. 计算机科学, 2006,33(10):148-155.

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