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Environment context-based semantic understanding method for robot

A technology of semantic understanding and robotics, applied in the field of voice robots, can solve problems such as unsatisfactory effects and inability to understand meanings, and achieve the effect of convenient management and maintenance, and smooth man-machine dialogue

Inactive Publication Date: 2017-07-07
江苏东方金钰智能机器人有限公司
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Problems solved by technology

Ordinary keyword-based methods cannot understand the meaning of the input questions very well, and often answer the wrong questions, and the effect is not satisfactory

Method used

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  • Environment context-based semantic understanding method for robot

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Embodiment Construction

[0023] The present invention will be further clarified below in conjunction with specific embodiments and drawings. It should be understood that the following specific embodiments are only used to illustrate the present invention and not to limit the scope of the present invention.

[0024] figure 1 It is a flow chart of the present invention. It can be seen from the accompanying drawings that the method for robots to understand semantics based on environmental context includes the following steps:

[0025] Step 1: Obtain semantic understanding knowledge from massive data on the Internet and build a knowledge base system;

[0026] Step 2: Use deep neural network technology to classify the knowledge base according to the environmental context to obtain a scene set, and the robot will match the input and output according to the scene set;

[0027] Step 3: Build a robot knowledge base;

[0028] Step 4: Use the concept of semantic understanding to provide the knowledge base to multi-termi...

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Abstract

The invention discloses an environment context-based semantic understanding method for a robot. The method comprises the following operation steps of 1, obtaining semantic understanding knowledge from massive network data to construct a knowledge base system; 2, classifying knowledge bases according to environment contexts by utilizing a deep neural network technology to obtain a scene set, and performing input and output matching according to the scene set by the robot; 3, establishing a robot knowledge base; and 4, by utilizing a semantic understanding concept, providing the knowledge base in a service form for the multi-terminal robot. According to the method, the input problem can be understood more accurately, and through semantic understanding of the contexts, more accurate answers can be given, so that smoother man-machine conversation is realized.

Description

Technical field [0001] The invention relates to a method for semantic understanding of a robot based on an environment context, and belongs to the technical field of voice robots. Background technique [0002] In the process of designing service-type robots such as chat, the process of question and answer interaction between humans and robots is often involved. The key to the question answering system is how to quickly and accurately match from the knowledge base based on the user's input, and then return the most suitable answer to the user. Ordinary keyword-based methods cannot have a good understanding of the meaning of the input question, and often the answer is not what is asked, and the effect is not satisfactory. How to understand user input at the semantic level has attracted much attention in recent years. Summary of the invention [0003] In order to solve the above-mentioned problems, the present invention discloses a method for robots to understand semantics based on...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06N3/08H04L29/08
CPCG06F16/3329G06F16/3344G06N3/08H04L67/10H04L67/12
Inventor 武星曹金龙马叶柳泽宇
Owner 江苏东方金钰智能机器人有限公司
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