Method for classifying legal texts by adopting semi-supervised convolutional neural network (SSC)

Abstract

The invention relates to a method for classifying legal texts by adopting a semi-supervised convolutional neural network (SSC) and belongs to the field of neural networks. According to the method, natural languages are processed by utilizing the SSC to achieve the main objective of a system; and through the processing on the legal case description, the problems that what rights and interests of parties does the legal case description violate or which laws and regulations does the parties violate are preliminarily solved, probably more than one rights and interests of the parties is violated orthe parties violate a plurality of laws and regulations at the same time and multi-label classification is realized. Through the legal service platform, case handlers are helped to efficiently handlevarious legal cases and the various legal cases are subjected to semantic analysis to achieve classification to ensure that not only the ability to understand literal meanings but also the ability tologically reason and understand deep meanings are provided in the aspect of the natural language understanding function.

Description

technical field [0001] The invention belongs to the field of neural networks and relates to a legal text classification method using a semi-supervised convolutional neural network. Background technique [0002] With the rapid development of economy and society, various public emergencies emerge one after another, and a large number of legal cases are generated every day. Emergency handling and automatic classification of cases are the most basic and critical steps. However, in the field of public security law enforcement, the experience of law enforcement personnel in handling cases and their familiarity with laws and regulations vary, resulting in many biased judgments, and the application of the existing public security information system basically stays in some simple tasks such as query and statistics. application, which cannot meet the needs of timely handling of cases; for law firms, traditional solutions usually use manual processing mode to handle legal cases one by ...

AI Technical Summary

Problems solved by technology

However, in the field of public security law enforcement, the experience of law enforcement personnel in handling cases and their familiarity with laws and regulations vary, resulting in many biased judgments, and the application of the existing public security information system basically stays in some simple tasks such as query and statistics. application, which cannot meet the needs of timely handling of cases; for law firms, traditional solutions usually use manual processing mode to handle legal cases one by one, which not only causes a lot of waste of human resources, but also fails to solve criminal violations in a timely and effective manner ; For ordinary people, it is imminent to identify which law they have violated in a timely manner

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