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Extraction of Concept Maps from Textbooks for Domain Modeling

机译:从域建模的教科书提取概念地图

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Previous research using concept maps as domain models in intelligent tutoring systems has demonstrated their power and flexibility. However, these concept maps must still be authored by a domain expert, creating a development bottleneck. We present a new, streamlined methodology for automatically extracting concept maps from textbooks using term extraction, semantic parsing, and relation classification.
机译:以前使用概念地图作为智能辅导系统中的域模型的研究已经证明了他们的功率和灵活性。但是,这些概念地图仍必须由域专家撰写,创建开发瓶颈。我们展示了一种新的,简化的方法,用于自动提取来自教科书的概念映射,使用术语提取,语义解析和关系分类。

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