Taxonomy Induction and Taxonomy-based Recommendations for Online Courses

Shuo Yang, Yansong Feng, Lei Zou, Aixia Jia, Dongyan Zhao
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引用次数: 2

Abstract

Taxonomy is a useful and ubiquitous way to organize knowledge. As online education attracting more and more attention, organizing lecture notes or exercises, from different online sources, in a more structured form has become an effective way to navigate users to better access course materials. However, it is expensive and time consuming to manually annotate large amounts of corpora to build a detailed taxonomy. In this paper, we propose a taxonomy induction framework with limited human involvement. We also show that the constructed taxonomy can be used to improve lecture notes/exercises recommendations.
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在线课程的分类归纳和基于分类的建议
分类法是组织知识的一种有用且普遍的方法。随着网络教育越来越受到人们的关注,从不同的网络资源中组织课堂笔记或练习,以一种更结构化的形式,已经成为引导用户更好地访问课程材料的有效方式。然而,手动标注大量语料库以构建详细的分类法是昂贵且耗时的。在本文中,我们提出了一个有限人参与的分类归纳框架。我们还展示了构建的分类法可以用于改进课堂笔记/练习推荐。
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