Interpretable legal judgment prediction method and device, electronic equipment and storage medium

A predictive method and legal technology, applied in special data processing applications, instruments, unstructured text data retrieval, etc., can solve unacceptable problems

Pending Publication Date: 2021-01-26
成都纬创立科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The legal judgment prediction task is obviously unacceptable to the "black box" model, and the unexplainable black box model conflicts with the core characteristic of la...

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
  • Interpretable legal judgment prediction method and device, electronic equipment and storage medium
  • Interpretable legal judgment prediction method and device, electronic equipment and storage medium
  • Interpretable legal judgment prediction method and device, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0037] Embodiment 1, an interpretable legal judgment prediction method based on the collegiate mechanism of court hearings, applied to electronic devices, such as figure 1 As shown, the method mainly includes several steps such as S100-S500.

[0038] Step S100: Obtain text information of legal documents to be processed.

[0039] Step S200: Analyzing and processing the legal document text information to be processed by a concept tree classifier trained on the concept tree, and outputting a first legal judgment prediction result.

[0040] The concept tree in the present invention is constructed from the features of legal document sample information. Generally, the concept tree can be manually set according to professional knowledge or prior information, or feature information capable of coarse-grained division of legal document sample information can be automatically extracted to form a feature domain, and a clustering operation is performed based on the feature domain to const...

Embodiment 1

[0057] Embodiment 1: The predicted result of the first legal judgment includes the result of the first case; the predicted result of the second legal judgment includes the result of the second case; in step S400, the result of the first case and the result of the second case are combined Checking, if the first case result is consistent with the concepts in the second case result, then accept the current prediction result, and output the first case result or the second case result; if the first case If there is at least one inconsistency between the result and the concept in the result of the second case, the collegial mechanism of court hearing will be activated.

Embodiment 2

[0058] Embodiment 2: The first legal judgment prediction result includes the first case result and the first concept cluster containing multiple concepts; the second legal judgment prediction result includes the second case result and the second concept containing multiple concepts cluster; in step S400, check the first concept cluster and the second concept cluster, if the concepts in the first concept cluster and the second concept cluster are consistent, then accept the current prediction result and output The result of the first case or the result of the second case; if at least one of the concepts in the first concept cluster is inconsistent with the concept in the second concept cluster, a court hearing collegiate mechanism is activated.

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 the field of natural language processing, in particular to cross application of judicial and artificial intelligence technologies, and provides an interpretable legal judgmentprediction method and device based on a court trial copulation mechanism, electronic equipment and a storage medium. The method comprises the steps of obtaining legal instrument text information to be processed; analyzing and processing the legal document text information to be processed through a concept tree classifier and a multi-classifier, and outputting a first legal judgment prediction result and a second legal judgment prediction result; if the two prediction results are consistent, accepting the current prediction result; if not, starting a court trial congruence mechanism; and through a plurality of arbitration tree classifiers, performing voting analysis processing on the second prediction result information, and determining a final prediction result according to the principlethat a small number obeys a majority. The interpretable legal judgment prediction method and device, the electronic equipment and the storage medium not only have interpretability from features to concept levels, but also further improve classification accuracy on the basis of an original model through a correction mechanism.

Description

technical field [0001] The invention belongs to the field of natural language processing, especially relates to the cross-application of judicial and artificial intelligence technology, and proposes an interpretable legal judgment prediction method, device, electronic equipment and storage medium based on the collegiate mechanism of court hearing. Background technique [0002] In the judicial field, artificial intelligence systems can not only effectively provide legal assistance to legal workers, but also quickly and effectively solve some legal problems encountered in daily life for ordinary people. While the artificial legal system serves ordinary people, its role in popularizing the law can improve the legal literacy of citizens, which in turn is conducive to maintaining social order. [0003] The goal of legal judgment prediction (Legal Judgment Prediction) is to predict the outcome of the judgment based on the factual part of the legal document. This technology is a ve...

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): G06F16/35G06K9/62
CPCG06F16/35G06F18/24323G06F18/214
Inventor 邓蔚杨欢刘新星赵远霞查金豆曹雅筠吴欣怡
Owner 成都纬创立科技有限公司
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