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SEMANTIC CLASSIFICATION METHOD AND DEVICE, NEURAL NETWORK TRAINING METHOD AND DEVICE, AND MEDIUM

机译:语义分类方法和装置,神经网络训练方法和装置,中等

摘要

A semantic classification method and device, a neural network training method and device, and a storage medium. The semantic classification method comprises: inputting a first comment related to a first object; processing the first comment by using a common expression extractor, so as to extract a first common expression vector representing a common expression in the first comment; processing the first comment by using a first expression extractor, so as to extract a first individual expression vector used to represent an individual expression in the first comment; joining the first common expression vector and the first individual expression vector to obtain a first expression vector; and processing the first expression vector by using a first semantic classifier, so as to obtain a semantic classification result of the first comment, wherein the common expression comprises a meaning expression for performing commenting for both the first object and a second object, the second object is an associated comment object different from the first object, and the individual expression of the first comment comprises a meaning expression solely for performing commenting for the first object.
机译:语义分类方法和设备,神经网络训练方法和设备以及存储介质。语义分类方法包括:输入与第一个对象相关的第一个注释;通过使用常见表达式提取器处理第一个评论,以便提取代表第一个注释中常见表达式的第一常见表达式载体;通过使用第一表达式提取器处理第一个注释,以便提取用于在第一次评论中表示单个表达式的第一个单独表达式向量;加入第一常见表达载体和第一单独表达载体以获得第一表达载体;通过使用第一语义分类器来处理第一表达式矢量,以便获得第一个注释的语义分类结果,其中公共表达式包括用于对第一个对象和第二个对象进行第二个对象的评论的含义表达式是与第一个对象不同的关联注释对象,并且第一个注释的各个表达式包括仅用于对第一个对象执行评论的含义表达式。

著录项

  • 公开/公告号WO2021047473A1

    专利类型

  • 公开/公告日2021-03-18

    原文格式PDF

  • 申请/专利权人 BOE TECHNOLOGY GROUP CO. LTD.;

    申请/专利号WO2020CN113740

  • 发明设计人 ZHANG ZHENZHONG;

    申请日2020-09-07

  • 分类号G06K9/62;

  • 国家 CN

  • 入库时间 2022-08-24 17:49:31

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