Judgment document analysis method based on criminal behavior chain

Abstract

The invention discloses a judgment document analysis method based on a criminal behavior chain, and the method comprises the following steps: step 1, extracting information from the fact description of a case, declaring the concept and construction rule of the criminal behavior chain, and constructing the criminal behavior chain; step 2, obtaining semantic information from fact description of a case by using a TextCNN; step 3, based on the criminal behavior chain, performing vector representation on the criminal behavior chain by using a Bi-LSTM method, and performing text classification; andstep 4, proposing a judgment document analysis method of a neural network structure for splicing and outputting a result of the TextCNN method and a result of the Bi-LSTM method, wherein an identification result can be used for supporting various auxiliary judgment applications. According to the method disclosed by the invention, the associated information of the criminal behavior chain is fully utilized, the defects of a traditional legal judgment document analysis method are avoided, the judgment document analysis efficiency is improved, and a technical support is provided for solving modelsand methods for assisting judgment such as legal provision recommendation and class case pushing.

Description

technical field [0001] The invention relates to the fields of information extraction and text processing, in particular to a judgment document analysis method based on criminal behavior chains. It belongs to the field of natural language processing and machine learning technology. Background technique [0002] The rapid development of big data and artificial intelligence information technology has provided strong support for the construction of judicial data informatization. In recent years, "smart courts" have also become a key plan that has attracted attention. However, in the face of massive judicial text data, how to effectively use information extraction technology at a high speed to accurately extract the criminal behavior in the text and construct it into a complete criminal behavior chain to effectively improve the quality and efficiency of justice is still an urgent need. solved problem. [0003] Existing Chinese legal text mining mainly involves the classificati...

AI Technical Summary

Problems solved by technology

[0003] Existing Chinese legal text mining mainly involves the classification of case texts and the extraction of case information. It belongs to the superficial analysis and application of the text, which fails to fully consider the characteristic elements of the case in the case text with "criminal behavior" as the core, and cannot effectively support the auxiliary trial work such as legal recommendation, similar case push, and auxiliary sentencing

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