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A neural network-based joint forecasting method of criminal charges and articles

A neural network and prediction method technology, applied in the field of joint prediction of criminal cases, charges, laws and regulations based on neural network, can solve problems such as difficult to consider synergistic promotion between tasks, and achieve the effect of improving judicial automation and intelligence, and improving accuracy.

Active Publication Date: 2019-02-22
HANGZHOU SHIPING INFORMATION & TECH
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Problems solved by technology

However, the existing crime prediction and law prediction methods are difficult to take into account the synergistic promotion between tasks

Method used

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  • A neural network-based joint forecasting method of criminal charges and articles

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Embodiment Construction

[0022] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0023] see figure 1 , the present invention is based on the joint prediction method of criminal case crimes law article of neural network, comprises the following steps:

[0024] Step 1) Build a training data set: Crawl the criminal verdict from the China Judgment Documents Network, and obtain the description of the case, the corresponding charges and relevant laws and regulations as training data; here, there can be multiple crimes corresponding to the description of the case, and the relevant laws and regulations There can also be multiple items. Then map each crime and each law to a unique integer as its code.

[0025] Step 2) Construct and train the neural network joint prediction model.

[0026] The specific construction methods of the neural network joint prediction model include:

[0027] Step 2-1) Segment the case description and map it into a wor...

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Abstract

The method comprises the following steps: (1) constructing a training data set: climbing a standard criminal ruling to obtain a case description and corresponding charges and relevant laws as trainingdata; (2) obtaining a training data set from the training data set; The offence or offences to which the description of the case corresponds and the relevant articles are one or more, each of which is mapped to a unique integer as its encoding; 2, establishing a neural network joint prediction model by adopting a multi-layer perception mechanism and train that neural network through a training data set; Step 3, predicting the accusations of criminal cases through the trained neural network joint prediction model. The invention can improve the accuracy rate of the prediction model in two aspects of the law prediction and the accusation prediction, thereby providing a reliable reference for the judicial trial, and improving the judicial automation and intelligence degree.

Description

technical field [0001] The invention relates to the field of judicial intelligence, and relates to a neural network-based joint prediction method for crimes and laws in criminal cases. Background technique [0002] At present, the crime prediction of criminal cases is generally regarded as a text classification problem: the case description is used as the text to be classified, and the corresponding crime is used as the corresponding classification label, and then an SVM or neural network model is trained for classification. Most of the existing models can only focus on one task, such as a neural network only for crime prediction or only for law prediction. However, in reality, many tasks can actually be performed simultaneously. In addition, the solution of some tasks can help solve another task: it is often more accurate to consider that when a judge convicts, he first judges which laws the suspect has violated according to the laws, and then convicts. However, the existi...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/18
CPCG06Q10/04G06Q50/18
Inventor 王世晞张亮徐建忠李娇娇
Owner HANGZHOU SHIPING INFORMATION & TECH
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