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Context Aware Knowledge Zoning: Traceability and Business Emails

机译:上下文感知知识分区:可追溯性和企业电子邮件

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Even if immaterial capital represents an increasingly important part of the value of our enterprises, it's not always possible to store, trace or capture knowledge and expertise, for instance in middle sized projects. Email it still widely used in professional projects especially among geographically distributed teams. In this paper we present a novel approach to detect zones inside business emails where elements of knowledge are likely to be found. We define an enhanced context taking into account not only the email content and metadata but also the competencies of the users and their roles. Also linguistic pragmatic analysis is added to usual NLP technics. After describing our model and method, we apply it to a real life corpus and evaluate the results based on machine learning experiments and filtering algorithm.
机译:即使非物质资本已成为我们企业价值的日益重要的组成部分,例如,在中型项目中,也不总是能够存储,追踪或获取知识和专长。通过电子邮件发送它仍广泛用于专业项目中,尤其是在地理位置分散的团队中。在本文中,我们提出了一种新颖的方法来检测企业电子邮件中可能发现知识元素的区域。我们定义增强的上下文,不仅要考虑电子邮件内容和元数据,还要考虑用户的能力及其角色。语言实用分析也被添加到常规的NLP技术中。在描述了我们的模型和方法之后,我们将其应用于现实生活中的语料库,并基于机器学习实验和过滤算法评估结果。

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