Knowledge graph driving type law intelligent consultation system

A knowledge map and consulting system technology, applied in text database query, instrument, electronic digital data processing, etc., can solve problems such as high consulting cost, lack of intelligence, automatic answering, etc., to save manpower and material resources, improve work efficiency, and save costs Effect

Active Publication Date: 2020-02-07
杭州识度科技有限公司
View PDF5 Cites 32 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The present invention provides a knowledge map-driven legal intelligent consultation system, which can solve the high cost of consulting in courts or law firms,

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
  • Knowledge graph driving type law intelligent consultation system
  • Knowledge graph driving type law intelligent consultation system
  • Knowledge graph driving type law intelligent consultation system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] Embodiments of the present invention will be described in detail below with reference to the accompanying drawings, examples of which are shown in the drawings, wherein the same or similar reference numerals represent the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0058] Such as figure 1 As shown, the present invention provides a knowledge graph-driven legal intelligent consultation system, including:

[0059] Knowledge building blocks: used to build question-answer corpora and legal knowledge bases;

[0060] Legal language understanding module: used to train the corresponding entity recognition model, intent attribute recognition model and question-answer pair matching recognition model;

[0061] Feature recognition module: used to identif...

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 knowledge graph driving type legal intelligent consultation system. The knowledge graph driving type legal intelligent consultation system comprises a knowledge construction module used for constructing a question and answer corpus and a legal knowledge base; a legal language understanding module used for training to obtain a corresponding entity recognition model, an intention attribute recognition model and a question answer pair matching recognition model; a feature recognition module used for recognizing legal features; a knowledge association module used for searching attributes associated with the questions; a query matching module used for querying and matching answers in a knowledge base and forming a system question and answer log; and a knowledge operation module used for screening out effective questions in the system question and answer logs and updating answers matched with the effective questions into a knowledge base. According to the system andthe method, the user can be intelligently answered and guided to solve legal knowledge problems, the cost of legal consultation of common people is saved, manpower and material resources are saved, and the working efficiency of the user and legal professionals is improved.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a knowledge map-driven legal intelligent consultation system. Background technique [0002] As an important carrier for describing natural knowledge and social knowledge, the most direct and important task of knowledge graph is to meet the precise information needs of users and provide personalized knowledge services. Among them, question answering and dialogue systems dedicated to answering various types of questions are one of the most typical tasks. However, in the legal consulting industry, due to the highly professional, knowledgeable and logical nature of the legal field, the existing general knowledge graph technology cannot be well applied, and can only reveal conventional entity associations. There are major deficiencies in technical processing, and the industry is still blank in using knowledge graph technology to build a legal consulting system. [0003] Second...

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): G06F16/332G06F16/33G06F16/36G06F40/242G06F40/247G06F40/295G06Q50/18
CPCG06F16/3329G06F16/3344G06F16/367G06Q50/18
Inventor 刘广峰张卓仁
Owner 杭州识度科技有限公司
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