Dialogue interaction method, device and computer readable storage medium

A technology of interactive information and state machine, applied in computer parts, computing, instruments, etc., can solve the problems of large NLU calculation, high cost, error amplification, etc., to achieve the effect of shortening time, fast response, and reducing cost
CN110377716AActive Publication Date: 2019-10-25BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD +1
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
Publication Date
2019-10-25

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Abstract

Embodiments of the invention provide a dialogue interaction method, a dialogue interaction device, and a computer readable storage medium. The method comprises the steps of converting to-be-recognizedvoice into a first text; inputting the first text into a semantic analysis model to obtain intention information and word slot information of the first text; and inputting the intention information and the word slot information of the first text into a dialogue state machine to obtain interaction information corresponding to the first text. According to the embodiment of the invention, the intention information and the word slot information of the first text are directly obtained from the first text by utilizing the semantic analysis model. The step that the semantic analysis model needs to be connected behind the language model in the prior art is omitted, so that the time is shortened. The user can be responded more quickly. Meanwhile, according to the scheme, the calculation complexityis reduced, and the cost of the whole system is reduced.
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Description

technical field

[0001] The present invention relates to the technical field of artificial intelligence, in particular to a dialogue interaction method, device and computer-readable storage medium. Background technique

[0002] In recent years, artificial intelligence technology has developed rapidly, and products related to intelligent voice technology have entered thousands of households. People are gradually getting used to talking to machines, and have higher expectations for the machine's ability to understand and respond.

[0003] The mainstream speech-based dialogue system framework adopts the Automatic Speech Recognition (ASR, Automatic SpeechRecognition) model and the Natural Language Understanding (NLU, Natural Language Understanding) model. The workflow includes: first convert the user's voice into text through the ASR model, then use the NLU model for semantic analysis, and finally get the user's intention.

[0004] The main problem of the existing method is tha...

Claims

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