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Systems and methods for identifying a meaning of an ambiguous term in a natural language query

机译:用于识别自然语言查询中含糊不清术语的含义的系统和方法

摘要

Methods and systems for identifying a meaning of an ambiguous term in a natural language query. The media guidance application isolates first and second terms from a query received from a user and identifies, in a knowledge graph, first and second pluralities of candidate components associated with the first and second terms. The first and second terms each having multiple candidate components indicates the first and second terms have ambiguous meanings. The media guidance application matches each candidate component of the first and second pluralities of candidate components to form a plurality of pairs and determines strength of association for each pair in the plurality of pairs. The media guidance application filters the plurality of pairs by strength of association for each pair and determines a plurality of possible meanings based on the filtered plurality of pairs. The media guidance application selects a meaning from the plurality of possible meanings.
机译:用于识别自然语言查询中含糊不清术语的含义的方法和系统。媒体指导应用程序从用户接收的查询和识别与第一和第二术语相关联的知识图中识别的首先和第二项,并在知识图中识别,并在与第一和第二项相关联的候选组件中识别。每个具有多个候选组件的第一和第二术语表示第一和第二项具有模糊含义。媒体指导应用程序匹配第一和第二多个候选组件的每个候选组件以形成多对并确定多个对中的每对的关联强度。媒体引导应用通过每个对的关联强度滤波多个对,并基于过滤的多对确定多个可能的截程。媒体指导应用程序从多个可能的含义中选择含义。

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