Judicial case knowledge graph construction method of dependency syntactic analysis relation extraction model

A technology of knowledge graph and dependency syntax, which is applied in the field of knowledge graph construction of judicial cases based on the relationship extraction model of dependency syntax analysis, can solve problems such as the lack of knowledge graph research, and achieve the effect of centralized and clear entity relationship description

Pending Publication Date: 2019-12-20
HUBEI UNIV OF TECH
View PDF3 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] To sum up, the research on the knowledge map of judi

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
  • Judicial case knowledge graph construction method of dependency syntactic analysis relation extraction model
  • Judicial case knowledge graph construction method of dependency syntactic analysis relation extraction model
  • Judicial case knowledge graph construction method of dependency syntactic analysis relation extraction model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0062] The present invention will be further described below in conjunction with accompanying drawing:

[0063] like figure 1 The flow chart of knowledge map construction of the present invention is shown. The construction of knowledge graph needs to rely on research results from different research fields. Through knowledge extraction technology, various types of knowledge constructed by knowledge graphs are obtained from different forms of data sources. Use knowledge fusion to eliminate all kinds of inappropriate knowledge and improve the quality and performance of knowledge graphs.

[0064] like figure 2 The flow chart of the dependency syntax analysis algorithm of the present invention is shown. The dependency parsing algorithm adds rich global features and clustering features so that it can more accurately find out the dependencies of the main components in the sentence. First input the feature vector, then predict the corresponding conversion type, and perform the c...

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 judicial case knowledge graph construction method of a dependency syntactic analysis relation extraction model. The method comprises the following steps of firstly, converting an unstructured judgment document into the structured data through an information extraction technology, then performing word segmentation, part-of-speech tagging and named entity identification processing on the structured data, and then extracting an entity relationship triple through a dependency syntax analysis relationship extraction model; and finally, importing the data in the triple forminto a Neo4j graph database in batches, and constructing a judgment document knowledge graph by utilizing the Neo4j and performing visual display on the judgment document knowledge graph. The dependency syntactic analysis relation extraction model can effectively extract the relation between the entities, is suitable for different large-scale corpora, and has the better transplantation applicability. The judgment document knowledge graph is intuitive and clear, so that the user can conveniently and efficiently master the information, and the great convenience is provided for the judicial work.

Description

technical field [0001] The invention belongs to the technical field of natural language processing in the field of artificial intelligence, and mainly studies the technical issues of information extraction and knowledge graph, in particular, a method for constructing a judicial case knowledge graph involving entity relationship extraction dependent on syntactic analysis relation extraction model. Background technique [0002] The judicial field is a relatively large knowledge system, and the domain knowledge is relatively complex. With the increasing amount of judicial case data, the relationship between data is becoming more and more complex. Traditional relational databases that can only handle simple data relationships have become Incompetent, the rise of knowledge graph is to solve this problem. Knowledge graph is to use visualization technology to describe knowledge resources and their carriers, mine, analyze, construct, draw and display knowledge and their interconnect...

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
IPC IPC(8): G06F16/36G06F17/27
CPCG06F16/367
Inventor 陈建峡张伟黄煜俊马忠宝张杰
Owner HUBEI UNIV OF TECH
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
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap