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DEEP LEARNING BASED DIALOG METHOD, APPARATUS, AND DEVICE

机译:基于深度学习的对话方法,装置和设备

摘要

A deep learning based dialog method, apparatus, and device are provided and belong to the field of artificial intelligence. The method includes: obtaining a to-be-replied statement, encoding the to-be-replied statement to obtain a first vector , where the first vector is a representation of the to-be-replied statement; obtaining dialog history information corresponding to the to-be-replied statement, and the attention vector is used to represent search intent; making each dialog statement interact with the attention vector, so as to extract information related to the search intent from the dialog statement to obtain a plurality of result vectors, generating a to-be-decoded vector based on the plurality of result vectors, and decoding the to-be-decoded vector to obtain a next word in the reply statement. In the method, the reply statement refers to a dialog history.
机译:提供了一种基于深度学习的对话方法,装置和设备,属于人工智能领域。该方法包括:获取待复制语句,对待复制语句进行编码,得到第一向量,其中,第一向量是待复制语句的表示;以及获取所述待回复语句对应的对话历史信息,所述关注向量用于表示搜索意图;使每个对话语句与注意力向量交互,以便从对话语句中提取与搜索意图有关的信息,以获取多个结果向量,并基于多个结果向量生成待解码向量,并进行解码待解码向量,以在回复语句中获得下一个单词。在该方法中,reply语句引用对话历史记录。

著录项

  • 公开/公告号US2019228070A1

    专利类型

  • 公开/公告日2019-07-25

    原文格式PDF

  • 申请/专利权人 HUAWEI TECHNOLOGIES CO. LTD.;

    申请/专利号US201916369579

  • 发明设计人 ZHENGDONG LU;SHAN HE;QIANG JIANG;

    申请日2019-03-29

  • 分类号G06F17/27;G06N3/08;G06F16/2455;

  • 国家 US

  • 入库时间 2022-08-21 12:09:27

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