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

A technology of forecasting system and relational diagram, which is applied in forecasting, instrumentation, electrical digital data processing, etc., can solve problems such as the inability to consider the correlation between laws and regulations, and achieve the effect of improving accuracy and overcoming the citation relationship of laws and regulations

Active Publication Date: 2019-06-21
XI AN JIAOTONG UNIV
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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 gr...

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

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Embodiment Construction

[0034] The implementation of the present invention will be described in detail below in conjunction with the drawings and examples.

[0035] see figure 1 , the application provides a system for recommending and predicting legal articles based on an association graph, including:

[0036] The obtaining module 101 is used to obtain the description of the case, all the articles of the relevant laws and the citation relationship among them. First collect the case data for model training, including the description of the facts in the judgment documents of each case and the relevant laws involved, and determine the set of all relevant laws and regulations corresponding to the case. Taking criminal cases as an example, for the task of predicting the legal provisions involved in the description of the criminal case, all the legal provisions in the criminal law are the collection of legal provisions, and the description of each case is a piece of case data, which corresponds to several...

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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...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/18G06F16/35G06F16/36G06F17/27
Inventor 王平辉陈龙许诺王悦孙飞扬胡小雨曾立柱段凯馨王翔宇韩婷陶敬管晓宏
Owner XI AN JIAOTONG UNIV
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