首页> 外国专利> METHOD AND DEVICE FOR EXTRACTING CAUSAL FROM NATURAL LANGUAGE SENTENCES FOR INTELLIGENT SYSTEMS

METHOD AND DEVICE FOR EXTRACTING CAUSAL FROM NATURAL LANGUAGE SENTENCES FOR INTELLIGENT SYSTEMS

机译:从智能系统的自然语言句中提取因果关系的方法和装置

摘要

A method and device for extracting causal from natural language sentences is disclosed. The method includes determining, by a computing device, a plurality of parameters for each target word in a sentence inputted by a user. The method further includes processing for each target word, by the computing device, an input vector comprising the plurality of parameters for a causal classifier neural network. The method includes identifying, by the computing device, causal tags associated with each target word in the sentence based on processing of associated input vector. The method includes extracting, by the computing device, the causal text from the sentence based on the causal tags associated with each target word in the sentence. The method further includes providing, by the computing device, a response to the sentence inputted by the user based on the causal text extracted for the sentence.
机译:公开了一种用于从自然语言句子中提取因果关系的方法和设备。该方法包括通过计算设备为用户输入的句子中的每个目标单词确定多个参数。该方法还包括由计算设备针对每个目标词处理包括因果分类器神经网络的多个参数的输入向量。该方法包括由计算设备基于相关输入矢量的处理来识别与句子中的每个目标单词相关的因果标签。该方法包括由计算设备基于与句子中的每个目标单词相关联的因果标签从句子中提取因果文本。该方法还包括由计算设备基于针对句子提取的因果文本来提供对用户输入的句子的响应。

著录项

  • 公开/公告号US2019294671A1

    专利类型

  • 公开/公告日2019-09-26

    原文格式PDF

  • 申请/专利权人 WIPRO LIMITED;

    申请/专利号US201815937629

  • 发明设计人 ARINDAM CHATTERJEE;KARTIK SUBODH BALLAL;

    申请日2018-03-27

  • 分类号G06F17/27;G10L25/30;

  • 国家 US

  • 入库时间 2022-08-21 12:10:24

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