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Systems and methods for disambiguating a term based on static and temporal knowledge graphs

机译:用于基于静态和时间知识图对术语进行歧义消除的系统和方法

摘要

Systems and methods provided herein for a determining a meaning of an ambiguous term in a text segment based on a context term, a static knowledge graph and a temporal knowledge graph. These systems and methods access a first knowledge graph associated with the context term to determine a potential term that is the meaning of the unknown term. Upon determining that there are multiple potential terms in the first knowledge graph that could be the meaning of the unknown term, the systems and methods take into account the temporal dimension of relationships between entities for disambiguating the meaning of the unknown term. The systems and methods achieve this by determining a time stamp of the text segment and accessing a second knowledge graph associated with the first context term and related to the time stamp to determine the potential term that is the meaning of the first unknown term.
机译:本文提供的用于基于上下文项,静态知识图和时间知识图来确定文本段中的歧义术语的含义的系统和方法。这些系统和方法访问与上下文项相关联的第一知识图以确定潜在项,该潜在项是未知项的含义。在确定第一知识图中存在多个可能是未知术语的含义的潜在术语时,该系统和方法考虑了实体之间的关系的时间维度,以消除该未知术语的含义的歧义。该系统和方法通过确定文本段的时间戳并访问与第一上下文项相关联并与该时间戳相关的第二知识图来确定潜在的术语,即第一未知术语的含义,来实现这一点。

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