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Processing rhetorical, morphosyntactic, and semantic features from corporate technical documents for identifying organizational domain knowledge

机译:从企业技术文档处理修辞,形态学和语义特征,用于识别组织域名知识

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During the requirements elicitation (RE) process, transformations among languages occur from natural language--in which the stakeholders express their domain and needs--to a controlled language. One source of domain information to be used by the transformation process is related to technical documents belonging to the organizations (e.g. technical reports, legacy documents, and procedure manuals). Some properties of such documents are: different representation formats, high degree of ambiguity, and particular linguistics elements. The analysis and processing of such documents becomes complex because of these properties and, in turn, the complexity makes difficult both identifying the domain knowledge and understanding the associated processes. As a solution for an automated transformation, in this paper we define linguistics features to enable identification and composition of information units from a procedure manual, as a central task for the language transformation process in RE. The identified features are classified into rhetorical, morphosyntactic, and semantic features. Also, the features can be used to identify and represent organizational domain knowledge.
机译:在要求阐述(重新)过程中,语言中的转换发生 - 利益相关者表达其域名和需求 - 对受控语言。转换过程使用的一个域信息源与属于组织的技术文件有关(例如技术报告,遗留文件和程序手册)。此类文件的一些属性是:不同的表示格式,高度歧义和特定语言学元素。这些文档的分析和处理由于这些属性而变得复杂,而且反过来,复杂性使得难以识别域知识并理解相关过程。作为自动转换的解决方案,在本文中,我们定义了语言学功能,以便从过程手册中找到信息单元的标识和组成,作为RE中语言转换过程的核心任务。所识别的特征被分为修辞,形态学和语义特征。此外,该特征可用于识别和代表组织域知识。

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