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UNSUPERVISED GENERATION OF KNOWLEDGE LEARNING GRAPHS

机译:意外生成知识学习图

摘要

Method and apparatus for generating a knowledge graph. A first electronic document is received and each of a plurality of portions of the first electronic document is categorized as one of i) an introduction section and ii) a theory section, according to a rhetorical structure theory (“RST”) scheme. A first glossary of terms for the first document is determined. The knowledge graph containing a first plurality of nodes is generated, where each of the first plurality of nodes corresponds to a respective term from the first glossary of terms, and where a first edge between a first node corresponding to a first term and a second node corresponding to a second term is created based on determining that the first term appears within at least one introduction section and that the first term and the second term appears together within at least one theory section.
机译:用于生成知识图的方法和设备。根据修辞结构理论(“ RST”)方案,接收第一电子文档,并且将第一电子文档的多个部分中的每一个分类为i)简介部分和ii)理论部分之一。确定第一文档的第一术语表。生成包含第一多个节点的知识图,其中第一多个节点中的每个节点对应于术语第一词汇表中的相应术语,并且其中对应于第一术语的第一节点与第二节点之间的第一边缘基于确定第一术语出现在至少一个介绍部分内并且第一术语和第二术语一起出现在至少一个理论部分内来创建与第二术语相对应的词。

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