Case document cause classification method based on law bar chart convolutional network text and medium

Abstract

The invention provides a case document cause classification method based on legal instrument graph convolutional network text enhancement, which comprises the following steps: 1, data preprocessing: carrying out case extraction, text word segmentation and noise reduction and legal instrument co-occurrence relationship graph construction on data; 2, legal word embedding pre-training: carrying out a pre-training task on the legal domain corpus set to obtain legal domain word embedding; 3, model construction: establishing a case document cause classification model based on law bar chart convolution text enhancement; 4, model training: performing gradient descent update training on the model constructed in the step 3 by training set data to obtain model parameters; 5, case cause prediction: performing, by the classification model trained in the step 4, case cause classification on the case situation description text to be classified. According to the case document cause classification method based on the legal provision convolutional network text and the medium provided by the invention, enhanced legal provision text representation has stronger cause correlation.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular, to a method and medium for classifying case documents based on law graph convolutional network texts. Background technique [0002] The cause of case clarifies the nature of the case, which affects the determination of litigation disputes and the determination of the applicable law in the trial process, and the classification review of the cause of action is also an important part of case review, which is of great significance to the construction of an automated case review system. Therefore, the classification of cause of case can improve the efficiency of case review, and can also provide reference for other legal practitioners. [0003] In terms of the classification of the cause of action, most of the relevant methods only consider the description text of the case documents, and construct a text classification model based on the TF-IDF vector and word vector of ...

AI Technical Summary

Problems solved by technology

[0003] In terms of the classification of the cause of action, most of the relevant methods only consider the description text of the case documents, and build a text classification model based on the TF-IDF vector and word vector of the description text, and do not effectively use the text information of the legal provisions and the relationship between the legal provisions. connect

Images