Extracting Dependency Relations from Digital Learning Content
Extracting Dependency Relations from Digital Learning Content
复制标题
从数字学习内容中提取依赖关系
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Giulia Venturi
中科院分区：
文献类型：
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作者：
G. Adorni;F. Dell’Orletta;Frosina Koceva;Ilaria Torre;Giulia Venturi
数字图书馆为开发电子学习应用程序提供了巨大的潜力，例如文本理解和问答工具。构建这种工具的一种方法是将数字内容结构化为相关概念和它们之间的依赖关系。虽然文献为前者提供了几种方法，但依赖性的识别，特别是先决关系的识别，仍然是一个开放的问题。我们提出了一种管理这项任务的方法。
Digital Libraries present tremendous potential for developing e-learning applications, such as text comprehension and question-answering tools. A way to build this kind of tools is structuring the digital content into relevant concepts and dependency relations among them. While the literature offers several approaches for the former, the identification of dependencies, and specifically of prerequisite relations, is still an open issue. We present an approach to manage this task.