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Question answering system and method for structured knowledgebase using deep natural language question analysis

机译:基于深层自然语言问题分析的结构化知识库问答系统和方法

摘要

Disclosed are a question answering system for structured knowledgebase using deep natural language question analysis, and a method thereof, the question answering system for structured knowledgebase using deep natural language question analysis includes a deep natural language question analysis unit configured to create a structure of a semantic frame by analyzing a natural language question that is input, a question-intermediate expression creation unit configured to create a question-intermediate expression of a lexicon level based on the semantic frame, a knowledgebase-specialized query creation unit configured to create a query used to search in knowledgebase that is a subject of search, based on the question-intermediate expression, and a knowledgebase search unit configured to find a correct answer in the knowledgebase that is subject of search based on the query, to provide an accuracy of the correct answer, a confidence of the correct answer and an evidence for the correct answer.
机译:公开了一种使用深层自然语言问题分析的结构化知识库的问答系统及其方法,一种使用深层自然语言问题分析的结构化知识库的问答系统包括配置成创建语义结构的深层自然语言问题分析单元通过分析输入的自然语言问题来构建框架,配置为基于语义框架创建词典级别的问题中间表达的问题中间表达创建单元,配置为创建用于查询的查询的知识库专用查询创建单元基于问题中间表达,在作为搜索对象的知识库中进行搜索,以及知识库搜索单元,该知识库搜索单元被配置为基于查询在作为搜索对象的知识库中找到正确答案,以提供正确答案的准确性,正确答案的信心以及正确答案的证据嗯

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