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A Question Answering System Using Graph-Pattern Association Rules (QAGPAR) On YAGO Knowledge Base

机译:在YAGO知识库上使用图谱关联规则(QAGPAR)的问答系统

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A question answering system (QA System) was developed that uses graph-pattern association rules on the YAGO knowledge base. The answer as output of the system is provided based on a user question as input. If the answer is missing or unavailable in the database, then graph-pattern association rules are used to get the answer. The architecture of this question answering system is as follows: question classification, graph component generation, query generation, and query processing. The question answering system uses association graph patterns in a waterfall model. In this paper, the architecture of the system is described, specifically discussing its reasoning and performance capabilities. The results of this research is that rules with high confidence and correct logic produce correct answers, and vice versa.
机译:开发了一个问答系统(QA System),该系统使用了YAGO知识库上的图形-图形关联规则。基于用户问题作为输入来提供作为系统输出的答案。如果答案在数据库中丢失或不可用,则使用图模式关联规则来获取答案。该问答系统的体系结构如下:问题分类,图形组件生成,查询生成和查询处理。问答系统在瀑布模型中使用关联图模式。在本文中,描述了系统的体系结构,特别讨论了其推理和性能。这项研究的结果是,具有高置信度和正确逻辑的规则会产生正确答案,反之亦然。

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