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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Embodiment 1
[0042] Below, will refer to Figure 1 to Figure 5 An embodiment of the user intention recognition method for an intelligent voice robot of the present invention is described.
[0043] figure 1 It is a flow chart of an example of the user intention recognition method for the intelligent voice robot of the present invention.
[0044] Such as figure 1 As shown, the user intention recognition method includes the following steps.
[0045] Step S101, extracting candidate feature words from historical question-and-answer texts between the intelligent voice robot and the user, and building a feature database based on the candidate feature words.
[0046] Step S102, constructing multiple intent recognition models, each of which includes updating model parameters during the training process.
[0047] Step S103, acquire the speech text of the user to be processed, and determine the corresponding intention recognition model.
[0048] Step S104, using the determined intent recognition...
Embodiment 2
[0143] refer to Figure 6 , Figure 7 and Figure 8 , the present invention also provides a user intention recognition device 400 for an intelligent voice robot, the user intention recognition device 400 includes: an extraction processing module 401, used for historical question and answer texts between the intelligent voice robot and the user , extracting candidate feature words, and establishing a feature database based on the candidate feature words; the model building module 402 is used to build a plurality of intent recognition models, and the plurality of intent recognition models include updating model parameters during training; model determination The module 403 is used to acquire the speech text of the user to be processed, and determine the corresponding intention recognition model; the output module 404 is used to use the determined intention recognition model to output the intention prediction value of the speech text of the user to be processed.
[0144] In ano...
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