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DIALOG SYSTEM WITH SELF-LEARNING NATURAL LANGUAGE UNDERSTANDING

  • US 20190130904A1
  • Filed: 10/26/2017
  • Published: 05/02/2019
  • Est. Priority Date: 10/26/2017
  • Status: Active Grant
First Claim
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1. A method for a dialog system comprising a client device configured with a text input method to receive user input, and a first natural language understanding (NLU) model configured to communicate with the server, the user input involving at least one of text input typed by the user or Automatic Speech Recognition (ASR) output obtained from the user speech, and a server comprising a second NLU model, wherein the first NLU model and the second NLU model are different, the method comprising:

  • determining NLU results of an input dialog at the client device from applying the first NLU model;

    for a confidence score of the NLU results obtained from applying the first NLU model not meeting a threshold, having the client device access the server to execute an NLU process by using the second NLU model on the input dialog; and

    for the confidence score of the NLU results obtained from applying the first NLU model meeting the threshold, having the client device execute actions based on the NLU results obtained from applying the first NLU model.

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