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Methods and Systems for Intent Detection and Slot Filling in Spoken Dialogue Systems

机译:语音对话系统中用于意图检测和插槽填充的方法和系统

摘要

A method for spoken language understanding (SLU) includes generating a first encoded representation of words from a user based on an output of a recurrent neural network (RNN), generating an intent label corresponding to the words based on an output of a first RNN decoder based on the first encoded representation, generating a corrected plurality of words based on an output of a second RNN decoder based on the first encoded representation and the intent label, generating a second encoded representation corresponding to the plurality of corrected words using the RNN encoder based on the plurality of corrected words, and generating a machine-readable dialogue phrase that includes at least one word in the plurality of corrected words assigned to at least one slot based on an output of a third RNN decoder based on the second encoded representation of the plurality of corrected words and the intent label.
机译:一种用于口语理解(SLU)的方法,包括基于循环神经网络(RNN)的输出来生成来自用户的单词的第一编码表示,基于第一RNN解码器的输出来生成与单词相对应的意图标签基于所述第一编码表示,基于所述第二编码表示和所述意图标签,基于第二RNN解码器的输出生成校正的多个词,并基于所述RNN编码器,生成与所述多个校正的单词相对应的第二编码表示根据第三RNN解码器的输出,基于机器翻译的第二个编码表示,生成机器可读对话短语,该机器可读对话短语包括在分配给至少一个时隙的多个修正单词中的至少一个单词。多个更正的单词和意图标签。

著录项

  • 公开/公告号US2019244603A1

    专利类型

  • 公开/公告日2019-08-08

    原文格式PDF

  • 申请/专利权人 ROBERT BOSCH GMBH;

    申请/专利号US201815962900

  • 发明设计人 PONGTEP ANGKITITRAKUL;RAPHAEL SCHUMANN;

    申请日2018-04-25

  • 分类号G10L15/16;G10L15/22;G10L15/18;

  • 国家 US

  • 入库时间 2022-08-21 12:06:08

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