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Disambiguating concepts in natural language

机译:用自然语言消除概念歧义

摘要

A computer receives a plurality of text and determines a concept is present in the plurality of text. The computer determines a set of hypotheses for the determined concept, wherein the set of hypotheses is a plurality of natural language representations of the determined concept. The computer substitutes the determined concept in the plurality of text with a hypothesis from the determined set of hypotheses. The computer determines the hypothesis is valid based on analyzing the plurality of text with a neural network, wherein the neural network is trained for hypothesis validation. Based on determining that the hypothesis is valid, the computer storing the plurality of text with the determined hypothesis in place of the substituted concept and displays the stored plurality of text.
机译:计算机接收多个文本并确定在多个文本中存在概念。该计算机为所确定的概念确定一组假设,其中该组假设是所确定的概念的多种自然语言表示。计算机用所确定的假设集合中的假设来代替多个文本中所确定的概念。该计算机基于使用神经网络分析多个文本来确定假设是否有效,其中训练该神经网络进行假设验证。基于确定假设是有效的,计算机存储具有所确定的假设的多个文本代替替代概念,并显示所存储的多个文本。

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