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CREATING A KNOWLEDGE GRAPH BASED ON TEXT-BASED KNOWLEDGE CORPORA

机译:基于基于文本的知识语料创建知识图形

摘要

In some embodiments, a knowledge graph generation system extracts noun-phrases from sentences of a knowledge corpora and determines the relations between the noun-phrases based on a relation classifier that is configured to predict a relation between a pair of entities without restricting the entities to a set of named entities. The knowledge graph generation system further generates a sub-graph for each of the sentences based on the noun-phrases and the determined relations. Nodes or entities of the sub-graph represent the non-phrases in the sentence and edges represent the relations between the noun-phrases connected by the respective edges. The knowledge graph generation system merges the sub-graphs to generate the knowledge graph for the knowledge corpora.
机译:在一些实施例中,知识图形生成系统从知识语料库的句子提取名词 - 短语,并基于关系分类器确定名词 - 短语之间的关系,该关系分类被配置为预测一对实体之间的关系而不将实体限制为一套命名实体。知识图形生成系统还基于名词 - 短语和所确定的关系为每个句子生成子图。子图的节点或实体表示句子中的非短语,并且边缘表示由各个边缘连接的名词短语之间的关系。知识图形生成系统合并子图来为知识语料库生成知识图形。

著录项

  • 公开/公告号US2021117509A1

    专利类型

  • 公开/公告日2021-04-22

    原文格式PDF

  • 申请/专利权人 ADOBE INC.;

    申请/专利号US201916656163

  • 发明设计人 SOMAK ADITYA;ATANU SINHA;

    申请日2019-10-17

  • 分类号G06F17/27;G06N5/02;G06N5/04;G06N20;

  • 国家 US

  • 入库时间 2022-08-24 18:19:53

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