论文标题
使用教科书找到概念之间的先决关系
Finding Prerequisite Relations between Concepts using Textbook
论文作者
论文摘要
先决条件是您在尝试学习或了解新事物之前首先需要了解或理解的任何东西。在当前的工作中，我们提出了一种使用相关教科书之间找到概念之间的先决关系的方法。以前的研究人员专注于通过无监督和监督的学习方法使用Wikipedia Link结构来找到这些关系。在当前的工作中，我们提出了两种方法，一种是统计方法，另一种是基于学习的方法。我们挖掘教科书中可用的丰富而结构化的知识，以找到这些概念的内容及其讨论的顺序。使用此信息，建议的统计方法估计了概念之间的明确估计以及隐式的先决条件。在实验过程中，我们发现提出的统计方法的性能优于使用Wikipedia链接结构的流行REDD方法。与基于图形和基于文本的学习方法相比，提出的基于学习的方法显示了监督学习方法的效率显着提高。
A prerequisite is anything that you need to know or understand first before attempting to learn or understand something new. In the current work, we present a method of finding prerequisite relations between concepts using related textbooks. Previous researchers have focused on finding these relations using Wikipedia link structure through unsupervised and supervised learning approaches. In the current work, we have proposed two methods, one is statistical method and another is learning-based method. We mine the rich and structured knowledge available in the textbooks to find the content for those concepts and the order in which they are discussed. Using this information, proposed statistical method estimates explicit as well as implicit prerequisite relations between concepts. During experiments, we have found performance of proposed statistical method is better than the popular RefD method, which uses Wikipedia link structure. And proposed learning-based method has shown a significant increase in the efficiency of supervised learning method when compared with graph and text-based learning-based approaches.
