Higher education institutions or universities secure the quality of their education in order to build the confidence of stakeholders. In the mechanism of quality assurance, it is necessary to handle an enormous amount of text data related to their education activities. National Institution for Academic Degrees and Quality Enhancement of Higher Education conducts a research for quality assurance to analyze the text data of their admission, curriculum, and diploma policies. An effective support system for text information processing by using information technology is desired. In this paper, we will consider the mechanism of preliminary system using character‐level convolutional neural networks to judge the consistency between diploma policy and curriculum policy.

中文翻译：

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用字符级CNN构建文凭与课程政策一致性判断系统

高等教育机构或大学确保其教育质量，以建立利益相关者的信心。在质量保证机制中，有必要处理与其教育活动有关的大量文本数据。美国国家学位和高等教育质量提升研究所进行了质量保证研究，以分析其录取，课程和文凭政策的文本数据。需要一种使用信息技术来进行文本信息处理的有效支持系统。在本文中，我们将考虑使用字符级卷积神经网络来判断文凭政策和课程政策之间一致性的初步系统的机制。