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Knowledge-driven dialogue strategy network optimization method, system and device

A network optimization and knowledge-driven technology, applied in the direction of neural learning methods, biological neural network models, and promotion of communication between physicians or patients, can solve the problem of low utilization of training data and achieve the effect of improving data utilization

Active Publication Date: 2021-02-02
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

[0005] In order to solve the above-mentioned problems in the prior art, that is, in order to solve the problem of low utilization rate of training data in the optimization process of the existing dialogue system in the medical field, the first aspect of the present invention proposes a knowledge-driven dialogue strategy network optimization method , applied to the training of dialogue systems, including:

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[0049] In order to make the purpose, technical solutions and advantages 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 accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, rather than Full examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0050]The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, rather than to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention ...

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Abstract

The invention belongs to the field of human-machine dialogue, and specifically relates to a knowledge-driven dialogue strategy network optimization method, system, and device, aiming to solve the problem of low utilization rate of training data in the optimization process of the existing dialogue system in the medical field. The method of the present invention is applied to the training of the dialogue system, including: based on the input characteristics of the dialogue samples in the selected field, the self-encoder is optimized by using the collaborative filtering method based on the encoder; the encoder in the self-encoder is used to The input features are mapped to a low-dimensional space; the dialogue policy network is optimized based on a loss function that includes an additional reward value; the additional reward value is inversely proportional to the frequency of state-action pairs in the behavior-action space. The invention can fully explore the state-action space under the condition of limited training data, and improve the data utilization rate.

Description

technical field [0001] The invention belongs to the field of man-machine dialogue, and in particular relates to a knowledge-driven dialogue strategy network optimization method, system and device. Background technique [0002] In recent years, with the development of artificial intelligence technology, dialogue systems in the medical field have gradually received attention. The present invention mainly relates to the automatic consultation task in the medical field, and its main steps include: first, the user provides a description of his condition, and the system adopts an active questioning strategy to interact with the user according to the user's description, asking the user for disease-related information, and finally , the system judges the user's disease according to the information provided by the user. The automatic consultation system is a task-based dialogue system, that is, a human-computer interaction system that assists users to complete specific tasks in a sp...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/332G06F40/295G16H80/00G06N3/08
CPCG06N3/08G16H80/00G06F16/3329G06F40/295
Inventor 周玉李梅向露宗成庆
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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