User intention recognition method and device, and computer equipment
A technology of user intent and identification method, applied in computer parts, calculation, character and pattern recognition, etc., can solve the problem of high error rate of user intent judgment and low user intent recognition rate, so as to reduce the intent recognition time and improve the model Accuracy and the effect of improving the efficiency of intent recognition
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[0041] Example 1
[0042] Below, reference will be Figure 1 to 5 An embodiment of a user intent recognition method for a smart voice robot is described in the present invention.
[0043] figure 1 A flowchart of an example of a user intent identification method for a smart voice robot of the present invention.
[0044] like figure 1 As shown, the user intention identification method includes the following steps.
[0045] In step S101, from the historical Q & A text between the smart voice robot and the user, the candidate feature word is extracted, and the feature database is established based on the candidate feature word.
[0046] Step S102, constructing a plurality of intended diagram recognition models, including the update model parameters during the training process.
[0047] Step S103, obtain the corresponding intent identification model to obtain the user's voice text to determine the corresponding intent identification model.
[0048] Step S104, using the determined inten...
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[0142] Example 2
[0143] Refer Image 6 , Figure 7 with Figure 8 The present invention also provides a user intent identification device 400 for a smart voice robot, the user intention identification device 400, comprising: extract processing module 401 for historical Q & A text between the smart voice robot and the user In the present, the candidate feature word is extracted, and the feature database is established based on the candidate feature word; the model build module 402 is used to construct a plurality of intended diagram recognition models, including the multi-purpose diagram of identification model, including update model parameters during training; model determination Module 403, configured to obtain the user's voice text, determine the corresponding intent identification model; output module 404 for outputting the intended user voice text using the determined intended identification model to output the intended user speech text.
[0144] In another embodiment, if Figu...
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[0171] Example 3
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