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

Programming education knowledge graph construction, completion and intelligent question and answer method

A knowledge map and intelligent question answering technology, applied in the field of computer science, can solve problems such as thin content, no Chinese question answering system, and low data quality, and achieve the effect of answering questions efficiently

Pending Publication Date: 2022-03-25
EAST CHINA NORMAL UNIV
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Through research, it is found that there is currently no Chinese knowledge graph focusing on the vertical field of computer science, and other computer-related open domain Chinese knowledge graphs have problems of low data quality and thin content, and there is no suitable Chinese knowledge graph on it. Question answering system for human use

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
  • Programming education knowledge graph construction, completion and intelligent question and answer method
  • Programming education knowledge graph construction, completion and intelligent question and answer method
  • Programming education knowledge graph construction, completion and intelligent question and answer method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0129] The real question and answer scene is designed and built a multi-group test data, the accuracy of the test template matching algorithm, as shown in Table 3. The first group and the second set of test data come from the true want to ask the question and answer system, and the third group and the fourth group of data are derived from the front climb to know the relevant problem, in which the third group About 50% is a single subject entity question, and about 70% of the fourth group is a single topic or a double subject entity question.

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 discloses a programming education knowledge graph construction, completion and intelligent question and answer method, which comprises the following steps of: a) processing programming domain knowledge, constructing a semi-automatic identification entity tool by combining BiLSTM-CRF with an artificially constructed knowledge point term dictionary, and assisting in artificially constructing a programming domain knowledge graph by means of the tool; b) discovering a part, which needs to be complemented, of the knowledge graph through a knowledge graph quality evaluation algorithm based on node centrality discrimination, and complementing the knowledge graph by using a direct perfection or crowdsourcing mode; and c) establishing a programming education field intelligent question-answering system based on the programming field knowledge graph. Compared with a traditional related method, the intelligent question-answering system in the programming education field is completed by means of the constructed knowledge graph in the programming education field. The practical problem that the knowledge graph is applied to the question and answer system from construction to completion is solved.

Description

Technical field [0001] The invention belongs to the field of computer science, and specifically, a method of programming education knowledge map construction, complement and intelligence question and answer. Background technique [0002] Knowledge maps use intelligent, efficient organizational knowledge methods, enabling relevant applications to accurately query the information you need, providing new ideas, comprehensive knowledge maps, and attribute, etc., can provide data mining, question and answer system Supporting, knowledge maps have become one of the core driving forces that promote the development of artificial intelligence. In recent years, with the development of knowledge map technology, the focus of knowledge map application and research gradually turned from open domain knowledge map to the domain knowledge map, the knowledge map and depth integration of various industries have become trend. Domain knowledge maps have stronger targeted and professionalism due to its...

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): G06F16/36G06F40/242G06F40/295G06N3/04G06Q50/20
CPCG06F16/367G06F40/242G06F40/295G06Q50/205G06N3/044
Inventor 冯博王丽苹宋培东李逸飞周琪丰
Owner EAST CHINA NORMAL UNIV
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