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Dialog generation method, device, equipment and storage medium based on artificial intelligence

An artificial intelligence and dialogue technology, applied in the field of intelligent robots, can solve problems such as difficulty in combining contextual information, inappropriateness, and low precision, and achieve the effect of reducing the generation of universal answers, improving output accuracy, and reducing probability.

Active Publication Date: 2022-04-08
CLOUDMINDS SHANGHAI ROBOTICS CO LTD
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AI Technical Summary

Problems solved by technology

[0003] However, the responses returned by retrieval chatbots are often relatively single, unable to output answers outside the answer library, and difficult to combine contextual information
The responses generated by generative chatbots are difficult to control, and are more prone to grammatical errors and even some inappropriate expressions
[0004] To sum up, the output of the two implementations of the current chat machine is not ideal, and the accuracy is low

Method used

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  • Dialog generation method, device, equipment and storage medium based on artificial intelligence
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  • Dialog generation method, device, equipment and storage medium based on artificial intelligence

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Embodiment Construction

[0027] In order to make the object, technical solution and advantages of the present invention clearer, various embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. However, those of ordinary skill in the art can understand that, in each implementation manner of the present invention, many technical details are provided for readers to better understand the present application. However, even without these technical details and various changes and modifications based on the following implementation modes, the technical solution claimed in this application can also be realized.

[0028] The first embodiment of the present invention relates to a dialog generation method based on artificial intelligence. By obtaining the sentence to be replied, input the sentence to be replied into the retrieval model, wherein the retrieval model is used to filter out K candidate replies that respond to the sentence to be replied from...

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Abstract

The embodiment of the present invention relates to the field of intelligent robots, and discloses an artificial intelligence-based dialog generation method, device, network equipment, and storage medium. The artificial intelligence-based dialog generation method includes: obtaining the sentence to be replied, and inputting the sentence to be replied for retrieval In this model, the retrieval model is used to filter out K candidate replies that respond to the sentence to be replied from the preset dialogue corpus, and K is a positive integer; the K candidate replies output by the retrieval model are obtained, and the sentence to be replied is Input the generative model with K candidate replies, use the generative model to filter out the predicted words according to the sentence to be replied, K candidate replies and the inverse document frequency of each word in the dictionary, and output the predicted reply composed of predicted words; according to the predicted reply Get the reply statement. The artificial intelligence-based dialog generation method, device, network equipment, and storage medium provided in the embodiments of the present invention can improve the output accuracy of the chat robot.

Description

technical field [0001] The present invention relates to the field of intelligent robots, in particular to an artificial intelligence-based dialog generation method, device, equipment and storage medium. Background technique [0002] Chatbots, also known as dialogue systems. At present, there are two main implementation methods of chatbots: one is retrieval and the other is generation. Retrieval chatbot refers to finding the most suitable answer from a large number of existing candidate answers as a response to the user through retrieval and matching; generative chatbot uses a large amount of dialogue data to train the model, using Responsive sentences are generated word by word or word by word by combining conversation history and user input. [0003] However, the responses returned by retrieval chatbots are often relatively single, unable to output answers outside the answer library, and difficult to combine contextual information. The responses generated by generative c...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/332G06F16/33
CPCG06F16/3329G06F16/3344G06F16/3347
Inventor 张世西贾志强
Owner CLOUDMINDS SHANGHAI ROBOTICS CO LTD
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