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Man-machine multi-round dialogue method and system for man-machine interaction and intelligent equipment

A human-computer interaction and human-computer technology, applied in the field of human-computer interaction, can solve the problems of poor voice interaction experience and achieve the effect of improving experience

Pending Publication Date: 2019-11-12
GREE ELECTRIC APPLIANCES INC +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the problem that current smart devices need multiple rounds of conversations to understand user intentions, resulting in poor voice interaction experience

Method used

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  • Man-machine multi-round dialogue method and system for man-machine interaction and intelligent equipment
  • Man-machine multi-round dialogue method and system for man-machine interaction and intelligent equipment
  • Man-machine multi-round dialogue method and system for man-machine interaction and intelligent equipment

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Experimental program
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Effect test

Embodiment 1

[0047] figure 1 It is a flowchart of a human-computer multi-round dialogue method for human-computer interaction according to Embodiment 1 of the present invention. Such as figure 1 As shown, the method includes the following steps:

[0048] Step S1: Establish a knowledge map of user dialogue behavior information;

[0049] Step S2: According to the information currently input by the user, determine the node corresponding to the currently input information and the child nodes of the node in the knowledge graph;

[0050] Step S3: Calculate the support degree of the child node relative to the node according to the number of times the node is queried and the number of times the child node and the node are queried simultaneously in the historical query records of the knowledge graph; and

[0051] Step S4: Determine whether to output the semantic information of the child node by judging the magnitude relationship between the support degree and a preset support degree threshold. ...

Embodiment 2

[0088] Figure 4 It is a flowchart of a human-computer multi-round dialogue method for human-computer interaction according to Embodiment 2 of the present invention. Different from the first embodiment, the human-computer multi-round dialogue method for human-computer interaction provided by the second embodiment can update the knowledge map in real time. Such as Figure 4 As shown, the method includes the following steps:

[0089] Step S1: Establish a knowledge map of user dialogue behavior information;

[0090] Step S2: According to the information currently input by the user, determine the node corresponding to the currently input information and the child nodes of the node in the knowledge graph;

[0091] Step S3: Calculate the support degree of the child node relative to the node according to the number of times the node is queried and the number of times the child node and the node are queried simultaneously in the historical query records of the knowledge graph;

[...

Embodiment 3

[0141] Corresponding to the human-computer multi-turn dialogue method for human-computer interaction in Embodiment 1 and Embodiment 2 of the present invention, Embodiment 3 of the present invention provides a human-computer multi-turn dialogue system for human-computer interaction. Figure 6 A human-computer multi-turn dialogue system for human-computer interaction according to Embodiment 3 of the present invention is schematically shown. Such as Figure 6 As shown, the system 600 includes:

[0142] Knowledge map building module 601, which is used to build a knowledge map of user dialogue behavior information;

[0143] An indexing module 602, configured to: determine the node corresponding to the currently input information and the child nodes of the node in the knowledge graph according to the information currently input by the user;

[0144] Calculation module 603, which is used to calculate the number of times that the child node is queried relative to the node according ...

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Abstract

The invention relates to a man-machine multi-round dialogue method and system for man-machine interaction and intelligent equipment. The method comprises: S1, establishing a knowledge graph of user dialogue behavior information; S2, determining a node corresponding to the currently input information and a child node of the node in the knowledge graph according to the currently input information ofthe user; S3, calculating the support degree of the child node relative to the node according to the query frequency of the node in the historical query record of the knowledge graph and the query frequency of the child node and the node at the same time; and S4, determining whether to output the semantic information of the child node or not by judging the size relationship between the support degree and a preset support degree threshold.

Description

technical field [0001] The present invention relates to the technical field of human-computer interaction, in particular to a method and system for human-computer multi-round dialogue for human-computer interaction, and an intelligent device. Background technique [0002] With the rapid development of smart homes and smart home appliances, voice interaction has gradually become the standard configuration of smart homes and smart home appliances. However, although the current voice interaction realizes basic task-based interaction and satisfies command control, there are still unintelligent states in the process of multi-dimensional dialogue understanding and intelligent response, resulting in poor voice interaction experience. [0003] From the perspective of the failure of human-to-human dialogue, the reason is often that the two parties lack a common cognitive background. Even in functional conversations, form and content can be inaccurate and need to be fixed to get back...

Claims

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Application Information

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IPC IPC(8): G06F16/332G06F16/33G06F16/36G06F17/27
CPCG06F16/3329G06F16/3344G06F16/367G06N5/022G06N5/04G06N3/082G06N5/02
Inventor 黄姿荣贾巨涛吴伟李禹慧戴林
Owner GREE ELECTRIC APPLIANCES INC
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