Department of Computer Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, H-12, Islamabad, Pakistan;
Department of Computer Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, H-12, Islamabad, Pakistan;
Department of Computer Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, H-12, Islamabad, Pakistan;
Department of Computer Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, H-12, Islamabad, Pakistan;
Department of Computer Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, H-12, Islamabad, Pakistan;
Department of Computer Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, H-12, Islamabad, Pakistan;
NLP; AR2DT; Class diagram; Software requirements; Natural language processing;
机译:通过SBVR从软件需求规范生成的UML类模型的自然语言处理方法
机译:通过SBVR从软件需求规范产生的UML类模型的自然语言处理方法(Vol 27,11.101142 / S0218213018500276,2018)
机译:使用自然语言处理工具以半自动方式根据阿拉伯用户需求生成用例模型
机译:一种新的自然语言处理(NLP)方法,可以从初始软件要求自动生成概念类模型
机译:使用临床分类标准对用于临床编码的自然语言处理(NLP)和机器学习(ML)算法的选择集进行比较分析
机译:如何自动将患者的体验自由文本回复转化为可行的见解:自然语言编程(NLP)方法
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