Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Chinese natural language processing method based on deep learning

A natural language processing and deep learning technology, applied in natural language data processing, electrical digital data processing, special data processing applications, etc., can solve the inaccurate results presented, reduce the user experience, and cannot accurately determine the natural language processing results. and other problems to achieve the effect of accurate learning

Pending Publication Date: 2020-05-05
SICHUAN UNIVERSITY OF SCIENCE AND ENGINEERING
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Most tasks do not have specific corpus available at the beginning of creation, so it is difficult to realize different human-machine dialogues in specific fields; at the same time, for natural language processing, it is also impossible to accurately determine the results of natural language processing. The presented results are also inaccurate, resulting in reduced user experience in the process of man-machine communication

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0019] The embodiment of the present invention provides a Chinese natural language processing method based on deep learning, the method comprising: the semantic processing system receives sentence data, and obtains sentence text data; extracts fixed language information and generalized object information in the sentence text data; Judging whether there are special interrogative words in the extracted backbone structure, if there is, then obtaining the type of the special interrogative words; extrac...

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 relates to a Chinese natural language processing method based on deep learning, and the method comprises the steps: enabling a semantic processing system to receive statement data, and obtain statement text data; extracting fixed language information and generalized object information in the statement text data; judging whether a special questionnaire exists in the extracted backbonestructure or not, and if so, obtaining the type of the special questionnaire; extracting one or more keywords of the first statement; searching information or commands corresponding to one or more keywords; and presenting an execution result of the information or the command. The method has the characteristics of high efficiency, intelligence and accuracy in learning.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a Chinese natural language processing method based on deep learning. Background technique [0002] With the popularization of natural language understanding technology, different industries will face a common problem. Deep learning needs to be driven by huge corpus in specific fields. For different application fields, how to obtain effective data becomes the core of the problem. Most tasks do not have specific corpus available at the beginning of creation, so it is difficult to realize different human-machine dialogues in specific fields; at the same time, for natural language processing, it is also impossible to accurately determine the results of natural language processing. The presented results are also inaccurate, which reduces the user's sense of experience in the process of man-machine communication. Contents of the invention [0003] In order to solve ...

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): G06F16/332G06F40/284G10L15/26
CPCG06F16/3329G10L15/26
Inventor 赵良军
Owner SICHUAN UNIVERSITY OF SCIENCE AND ENGINEERING
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com