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Latent ambiguity handling in natural language processing

机译:自然语言处理中的潜在歧义处理

摘要

Mechanisms are provided for latent ambiguity handling in natural language processing. The method may include: providing an annotated semantic graph based on a knowledge base in which nodes representing semantic concepts are linked by semantic relationships, wherein one or more nodes are annotated to indicate a latent ambiguity of the semantic concept; processing a natural language input by activation of the annotated semantic graph; during processing when encountering an annotated node indicating a latent ambiguity of the semantic concept, applying a pre-defined latent ambiguity process to the node; and replacing any annotated nodes indicating a latent ambiguity of the concept remaining in an output of the processing of the natural language input with an alternative node from the semantic graph.
机译:提供机制,用于自然语言处理中的潜在歧义处理。该方法可以包括:基于知识库提供注释的语义图,其中表示语义概念的节点是通过语义关系链接的,其中一个或多个节点被注释以指示语义概念的潜在歧义;通过激活注释语义图来处理自然语言输入;在处理时在遇到指示语义概念的潜在歧义的注释节点期间,将预定义的潜伏期进程应用于节点;并替换指示概念的潜在歧义的任何注释节点,其剩余的概念在从语义图中的替代节点的自然语言输入的处理中剩余的输出。

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