Criminal legal document criminal name recommendation method and system

Abstract

The invention relates to a criminal legal document criminal name recommendation method and system. The method comprises the steps of obtaining a criminal legal document, and performing word segmentation processing on the criminal legal document to obtain a text set taking entries as units; obtaining a word2vec word vector model and a text separable convolutional neural network model; taking the word2vec word vector model as an embedding layer, and combining the text separable convolutional neural network model to construct a criminal name recommendation model; and obtaining a criminal name label matrix according to the text set by utilizing the criminal name recommendation model, and further determining a criminal name corresponding to the criminal legal document according to the criminalname label matrix. The criminal legal document criminal name recommendation method and system have the advantages of being low in labor cost, high in criminal name obtaining efficiency, high in criminal name recommendation accuracy and the like.

Description

technical field [0001] The invention relates to the technical field of text processing, in particular to a method and system for recommending crimes of criminal legal documents. Background technique [0002] According to the case description and facts of criminal legal documents, predicting charges refers to predicting the corresponding charges of criminals in criminal cases when they are brought into criminal proceedings based on a specific text describing a criminal case. [0003] There are the following methods of conviction under criminal law instruments: [0004] Pure manual judgment is generally a relatively primitive method for professionals to artificially judge crimes based on relevant knowledge. This method needs manpower rich in criminal law knowledge and experience, its accuracy also depends on the professional level of the personnel, it also needs to spend a lot of time, and the efficiency is low. [0005] The automatic prediction method based on keyword match...

AI Technical Summary

Problems solved by technology

The usual deep learning algorithms based on sequence models or recurrent neural networks do not require manual construction of features, but they have high requirements for original training data. Very good fit, but poor fit for crime classes with few occurrences

In addition, using the above-mentioned deep learning model alone is not enough to obtain the semantic information of the description of the criminal legal documents and the factual text. It often needs to be combined with the input that can extract the semantic information of the original text to have a better accuracy effect, and , this type of method has the disadvantage of long training time due to the complex network structure

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