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Dialogue model training method and device, dialogue generation method and device, equipment and medium

A training method and model technology, applied in the field of data processing, can solve problems such as high development resources and low efficiency

Pending Publication Date: 2021-02-26
NETEASE (HANGZHOU) NETWORK CO LTD
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Problems solved by technology

[0005] The purpose of the present invention is to provide a dialogue model training, dialogue generation method, device, equipment and medium for the above-mentioned deficiencies in the prior art, so as to solve the problems in the related art that need to be performed for each scene and each situation. Manual customization, excessive development resources and low efficiency

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  • Dialogue model training method and device, dialogue generation method and device, equipment and medium
  • Dialogue model training method and device, dialogue generation method and device, equipment and medium

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[0098] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments.

[0099]Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0100] In the description of this application, it should be noted that if the orientation or position...

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Abstract

The invention provides a dialogue model training method and device, a dialogue generation method and device, equipment and a medium, and relates to the technical field of data processing. The method comprises the steps of obtaining a target question and answer data corpus comprising a plurality of sample question and answer pairs, wherein the target question and answer data corpus comprises expression statements meeting unconventional and high-frequency conditions; and training an initial dialogue model according to the target question and answer data corpus to obtain a dialogue model, whereinthe dialogue model is used for determining a plurality of initial question and answer pairs according to a sentence vector of the input statement and the target question and answer data corpus, evaluating the correlation degree of each initial question and answer pair, and outputting an output statement corresponding to the input statement based on the correlation degree. According to the dialogue model obtained by training based on the target question and answer data corpus, unconventional output statements, namely, more flexible statements with higher interestingness, can be output based onthe input statements, the statements with higher interestingness can be automatically output without manual special customization, development resources are reduced, and the development efficiency isimproved.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a dialogue model training, dialogue generation method, device, equipment and medium. Background technique [0002] With the rapid development of the Internet and AI (Artificial Intelligence, artificial intelligence) technology, in industries and fields such as games, e-commerce, and social media, man-machine question answering technology has become indispensable, and man-machine question answering technology can be replaced by machines Respond to user questions manually. [0003] In related technologies, according to the input question, the trained model is used to output some relatively safe replies, and generally such replies are less interesting. In order to improve the user experience in some scenarios, text classification can be used in the prior art to distribute input questions to different scenarios for replies, so as to reply interesting content in diffe...

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Application Information

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IPC IPC(8): G06F16/332G06F16/33G06F40/216G06F40/30G06K9/62
CPCG06F16/3329G06F16/3344G06F40/216G06F40/30G06F18/2321Y02D10/00
Inventor 汪硕芃周晓松张聪范长杰胡志鹏
Owner NETEASE (HANGZHOU) NETWORK CO LTD
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