Dispute focus-based class case retrieval method, system and device and medium

A focal and legal technology, applied in the field of similar case retrieval based on the semantic vectorization of dispute focus, it can solve the problems of different semantics, unable to characterize the dispute focus semantics well, etc., to achieve accurate retrieval results, fast retrieval speed, and improved The effect of recall and precision

Inactive Publication Date: 2020-10-02
SICHUAN UNIV +1
View PDF6 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, the retrieval method of similar cases based on the focus of dispute mainly uses the traditional keyword technology or tf-idf technology, but the retrieval based on keyword can only recall the cases corresponding to the focus of dispute with the same keyword, and the weight of different keywords It is only based on tf-idf to assign values; in fact, the text expressions correspo

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
  • Dispute focus-based class case retrieval method, system and device and medium
  • Dispute focus-based class case retrieval method, system and device and medium
  • Dispute focus-based class case retrieval method, system and device and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0045] The similar case retrieval method based on the focus of disputes in the present invention will be based on the focus of disputes of the current case, using the semantic vectorization retrieval method based on the focus of disputes of the present invention, to search for the focus of disputes corresponding to the focus of disputes whose similarity to the current retrieval case is topK Show the case to the judge, provide reference for the judge, assist the judge to judge the case, and solve the problem of different judgments in similar cases; among them, similar cases are similar cases based on a certain dimension, and the focus of dispute is the most important used by legal workers a dimension of .

[0046] The whole retrieval method mainly includes the following steps:

[0047] Extract the corresponding focus of controversy from a number of currently public judgment documents, for example, extract the corresponding focus of controversy from more than 80 million judgment d...

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 dispute focus-based class case retrieval method and system, a dispute focus-based class case retrieval device and a medium, and relates to the field of natural language processing semantic similarity. The method comprises a dispute focus extraction processing step, a word segmentation processing step, a word vector acquisition processing step, a sentence vector acquisition processing step, a final dispute focus sentence vector acquisition processing step, an index database storage step, a final dispute focus sentence vector P acquisition step corresponding to a dispute focus to be retrieved and a corresponding retrieval step, a case corresponding to the topK similar dispute focus is obtained. According to the method, a sentence vector of a dispute focus is constructed by using a related model used for generating a word vector in the field of natural language processing, the construction method adopts an unsupervised mode, the complexity of manually labeling similar sentences is removed, the method is simple, and meanwhile, the method is based on semantic retrieval and is high in retrieval speed and accurate in retrieval result; and the recall rate and theaccuracy rate of class case retrieval based on dispute focuses are improved.

Description

technical field [0001] The present invention relates to the field of semantic similarity of natural language processing, in particular, to a similar case retrieval method, system, device and medium based on semantic vectorization of dispute focus. Background technique [0002] At present, the retrieval method of similar cases based on the focus of dispute mainly uses the traditional keyword technology or tf-idf technology, but the retrieval based on keyword can only recall the cases corresponding to the focus of dispute with the same keyword, and the weight of different keywords It is only based on tf-idf to assign values; in fact, the text expressions corresponding to the focus of controversy with the same semantics will be diverse, or the similarities in the focus of controversy may have different semantics; therefore, only using keyword technology is not very good As a result, the cases retrieved based on the dispute focus cannot provide accurate and effective auxiliary i...

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): G06F16/33G06F40/289G06F40/30G06Q50/18G06N20/00
CPCG06Q50/18G06F16/3344G06N20/00G06F40/289G06F40/30
Inventor 李鑫王竹翁洋其他发明人请求不公开姓名
Owner SICHUAN UNIV
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