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Information Extraction from Interviews to Obtain Tacit Knowledge: A Text Mining Application

机译:从采访中获取隐性知识的信息提取:文本挖掘应用

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One of the most challenging knowledge management tasks is to obtain, summarize, and present tacit knowledge. It is important to develop approaches for creating insightful summaries from the knowledge obtained. In this paper, we present different information extraction methods for summarizing interview transcripts. Manual, semi-automatic, and automatic text analysis are evaluated to transform tacit knowledge into explicit form and to substantially reduce the time required to perform this transformation. These approaches are described in the context of a real application.
机译:最具挑战性的知识管理任务之一是获取,总结和呈现隐性知识。开发从获得的知识中创建有见地的摘要的方法很重要。在本文中,我们提出了用于汇总访谈笔录的不同信息提取方法。对手动,半自动和自动文本分析进行了评估,以将隐性知识转换为显式形式,并显着减少执行此转换所需的时间。这些方法是在实际应用程序的上下文中描述的。

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