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Method and apparatus for concept-based searching of natural language discourse

机译:基于概念的自然语言话语搜索方法和装置

摘要

Searching computer-accessible content can be described as the utilization of an automated process to determine occurrences of where a sought-for concept is referred to in natural language discourse. Concept-based search refers to the reliable identification, within computer-accessible content that represents natural language discourse, of instances in which a particular pinnacle concept “C” is referenced. References to pinnacle concepts are not amenable to detection by the use of keywords. For each pinnacle concept “C,” whose reference is to be determined, a set of linguistic features can be compiled that is referred to herein as a “concept feature set.” In general, it is desirable for a concept feature set to be “complete.” A definition of completeness is presented. Concept-based search can be used in conjunction with keyword-based search. When using concept-based search with keyword-based search, it can be useful, from an efficiency perspective, to divide the process into two phases: an indexing phase and a search phase.
机译:搜索计算机可访问的内容可以被描述为利用自动过程来确定在自然语言话语中所寻求的概念在何处被提及。基于概念的搜索是指在代表自然语言论述的计算机可访问内容中,对引用了特定顶点概念“ C”的实例的可靠标识。顶峰概念的引用不适合使用关键字进行检测。对于将要确定其参考的每个顶峰概念“ C”,可以编译一组语言特征,在本文中将其称为“概念特征集”。通常,期望概念特征集是“完整的”。提出了完整性的定义。基于概念的搜索可以与基于关键字的搜索结合使用。从效率的角度来看,将基于概念的搜索与基于关键字的搜索一起使用时,将流程分为两个阶段可能是有用的:索引阶段和搜索阶段。

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