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.

中文翻译：

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使用教科书查找概念之间的先决条件关系

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所有内容。在当前的工作中，我们提出了一种使用相关教科书查找概念之间的先决条件关系的方法。以前的研究人员致力于通过无监督和有监督的学习方法，使用Wikipedia链接结构查找这些关系。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。利用这些信息，提出的统计方法可以估计概念之间的显式和隐式先决条件关系。在实验中 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RefD方法。与基于图形和文本的基于学习的方法相比，提出的基于学习的方法已显示出监督学习方法的效率显着提高。