Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Text semantic understanding method, device and system

A semantic understanding and text technology, applied in semantic analysis, digital data processing, special data processing applications, etc., can solve the problems of high error rate of semantic understanding, difficult to optimize, poor text semantic understanding effect, etc., to improve the effect, increase The effect of network depth and smooth data flow

Active Publication Date: 2017-06-27
IFLYTEK CO LTD
View PDF6 Cites 26 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the usual recurrent neural network and convolutional neural network are difficult to optimize. Specifically, if the depth is not increased, the text semantic understanding effect is poor, and if the depth is increased, the error rate of training and optimization will increase, and it is difficult to obtain accurate training model, so the error rate of semantic understanding is also high
Therefore, the effect of the text semantic understanding method in the related art is not ideal

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Text semantic understanding method, device and system
  • Text semantic understanding method, device and system
  • Text semantic understanding method, device and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] Embodiments of the present application are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar modules or modules having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary, and are only for explaining the present application, and should not be construed as limiting the present application. On the contrary, the embodiments of the present application include all changes, modifications and equivalents falling within the spirit and scope of the appended claims.

[0023] figure 1 It is a schematic flowchart of a text semantic understanding method proposed by an embodiment of the present application.

[0024] Such as figure 1 As shown, the method of the present embodiment includes:

[0025] S11: Receive text to be semantically understood.

[0026] In a specific application, the user may input the text to be semantic...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a text semantic understanding method, device and system. The method comprises the steps that text pending to be subjected to semantic understanding is received; the text pending to be subjected to semantic understanding is subjected to semantic understanding according to a deep residual network model constructed in advance, and a semantic understanding result is obtained. By means of the method, the text semantic understanding effect can be improved.

Description

technical field [0001] The present application relates to the technical field of natural language understanding, in particular to a text semantic understanding method, device and system. Background technique [0002] As one of the important directions in the field of artificial intelligence, natural language understanding technology has always been a research hotspot for researchers in related fields. Especially in recent years, with the rapid development of mobile Internet technology and the increasing degree of informatization, people are increasingly eager to allow machines to understand natural language, so as to achieve the goals of reducing manual investment and sharing massive data. [0003] In related technologies, mainstream methods are text semantic understanding methods based on recurrent neural networks and text semantic understanding methods based on convolutional neural networks. However, the usual recurrent neural network and convolutional neural network are ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27
CPCG06F40/30
Inventor 刘也宽胡加学孙胜杰王震
Owner IFLYTEK CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products