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Generating Logical Representations for Natural Language Requirements Using Syntactic Dependencies and Norm Analysis Patterns

机译:使用句法依赖关系和规范分析模式生成自然语言要求的逻辑表示

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Requirements expressed in Natural Language are often ambiguous, inconsistent and, not amenable to automated analysis and validation. Formal approaches like mathematical or logical formalism to requirements representation offer possible solution to these problems. However, formal specifications are not widespread in industry as analysts and business users find them difficult to comprehend. In this paper, we present an approach to translate Natural Language representation of requirements to Logical representations. We have used Courteous logic, a non-monotonic form of logic, for the purpose. Our approach is based on syntactic dependency analysis of requirements statements, Norm Analysis Patterns and Grammatical Knowledge Patterns. The analyzed information is stored in frame-based structured representation for the requirements. These structured representations are translated to courteous logic form. We also report the effectiveness of our approach through the case-studies conducted.
机译:以自然语言表达的要求通常是含糊不清的,不一致的,而且不适合自动分析和验证。正式的方法,如数学或逻辑形式主义,要求表示可能对这些问题提供解决方案。然而,正式规格在工业中并不普遍,因为分析师和商业用户发现他们很难理解。在本文中,我们提出了一种将要求的自然语言表达转化为逻辑表现的方法。我们已经使用了礼貌的逻辑,非单调的逻辑形式,为目的。我们的方法是基于要求陈述的句法依赖性分析,规范分析模式和语法知识模式。分析的信息存储在基于帧的结构化表示中,以获得要求。这些结构化表示转化为礼貌的逻辑形式。我们还通过进行的案例研究报告了我们的方法的有效性。

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