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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:提供了用于自然语言处理中潜在歧义处理的机制。该方法可以包括:基于知识库提供带注释的语义图,其中表示语义概念的节点通过语义关系链接,其中,对一个或多个节点进行注释以指示该语义概念的潜在歧义。通过激活带注释的语义图来处理自然语言输入;在处理过程中,当遇到注释节点表示语义概念的潜在歧义时,对节点应用预定义的潜在歧义过程;并用语义图中的替代节点替换表示自然概念输入处理的输出中剩余的表示概念潜在歧义的任何注释节点。

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