Dialogue automatic reply system based on deep learning and reinforcement learning
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A technology of reinforcement learning and dialogue system, applied in speech analysis, speech recognition, instruments, etc., can solve problems such as inability to realize intelligent chat
Active Publication Date: 2017-02-22
EMOTIBOT TECH LTD
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[0004] Therefore, the defect in the existing technology is: the existing man-machine dialogue system implementation method cannot give a
Method used
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Embodiment 1
[0044] figure 1 Shows a schematic diagram of an automatic reply dialogue system 10 based on deep learning and reinforcement learning provided by the first embodiment of the present invention, such as figure 1 As shown, the first embodiment provides an automatic reply dialogue system 10 based on deep learning and reinforcement learning, including:
[0045] The user interaction module 101 is used to receive question information input by the user in the dialogue system interface;
[0046] The session management module 102 is used to record the user's activity state, the activity state includes historical dialogue information, user position change information, and user mood change information;
[0047] The user analysis module 103 is used to analyze the user's registration information and activity status, make a portrait for the user, and obtain user portrait information. The user portrait information is used to describe the personality characteristics of the user, and the user's registra...
Embodiment 2
[0099] The present invention is an automatic reply dialogue system 10 based on deep learning and reinforcement learning, combined with the user’s dialogue content on the system interface, specifically introduces the system process of the present invention;
[0100] User: Hello!
[0101] System: Good afternoon, how can I help you?
[0102] User: My computer does not display after booting.
[0103] System: Sorry for you. Are you using Windows operating system?
[0104] User: No, Linux system.
[0105] System: Is there any error message?
[0106] The user conducts a man-machine dialogue in the system interface, and enters the text information of the user dialogue, such as "hello". The system first converts the "hello" code into a word vector to facilitate the computer to calculate, and then for simple hello information, the system According to the preset mode, the corresponding answer will be given, such as "Good afternoon, how can I help you?" or "Good afternoon, what can I do?", and then...
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Abstract
The invention discloses a dialogue automatic reply system based on deep learning and reinforcement learning. The dialogue automatic reply system comprises a user interaction module which receives question information inputted by a user in a dialogue system interface; a session management module which records the active state of the user, wherein the active state includes historical dialogue information, user position transformation information and user emotion change information; a user analysis module which analyzes registration information and the active state of the user and portraits for the user so as to obtain user portrait information; a dialogue module which generates reply information through a language module according to the question information of the user with combination of the portrait of the user; and a model learning module which updates the language model through the reinforcement learning technology according to the reply information generated by the language model. According to the dialogue automatic reply system based on deep learning and reinforcement learning, the reply of the dialogue meeting the personality of the user can be given according to the dialogue text inputted by the user with combination of context information, the personality characteristics of the user and the intentions in the dialogue.
Description
Technical field [0001] The invention relates to the field of artificial intelligence, in particular to the field of intelligent human-machine dialogue. Background technique [0002] With the continuous evolution of human society informatization and the rising cost of human services, people increasingly hope to communicate with computers through natural language. Intelligent dialogue robot systems have become products born under this historical background, especially those that can understand users. The dialogue robot system that can memorize the user's historical dialogue, can take care of the user's emotions, and can provide users with personalized services is becoming the direction and focus of research and development of major companies and academic research institutions. [0003] The first implementation in the prior art requires constructing various answers to various questions and accurately designing the selection logic, which requires a huge investment of manpower. If you ...
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