A legal provision recommendation prediction system and method based on an association graph

Abstract

The invention provides a legal provision recommendation system and method based on an association graph. The system includes: an acquisition module for obtaining a description of the case, laws and the reference relationships between the laws; an association diagram construction model for constructing an association diagram by using the reference relationship between the rules; a semantic extraction module for constructing the learning model and extracting the main semantic information including the text of the case description; a classifier construction module which is configured to constructa classifier corresponding to each node in the association diagram to predict the likelihood that the corresponding node tag of the node is true and the next flow direction of the node; a training module which trains the mesh model composed of classifiers by using an optimization algorithm of deep learning. The system is applied to the recommendation task of the law, and can use the reference relationship between the rules to carry out multi-label prediction, and improve the accuracy of the recommendation work of the law.

Description

technical field [0001] The invention belongs to the technical field of text classification, and in particular relates to a system and method for recommending and predicting legal articles based on an association graph. Background technique [0002] In recent years, with the promotion of "smart courts", the informatization construction of the people's courts has been continuously improved, and the trials of cases have become more open and transparent. As of December 2018, the China Judgment Documents Network has collected more than 59 million judgment documents, which show a wealth of case information and trial conditions. These massive judicial data also contain huge value. [0003] During the trial of a case, judges often need to consult the relevant legal provisions and previous trials of similar cases, and analyze the case based on these contents. This part of the work often takes up a lot of time in the case trial. Although the retrieval work can already be completed b...

AI Technical Summary

Problems solved by technology

[0007] In order to overcome the shortcomings of the above-mentioned prior art, the purpose of the present invention is to provide a system and method for recommending and predicting legal articles based on a correlation graph, so as to solve the problem that the traditional legal article recommendation method predicts that each legal article is independent of each other and cannot consider the relationship between legal articles. sexual problems

Images