A judicial case discrimination system and method based on event tree analysis

Abstract

The invention provides a judicial case discrimination system based on event tree analysis. The judicial case discrimination system comprises a legal text collection module, an event tree constructionmodule, an automatic criminal name discrimination module and an automatic penalty discrimination module. The legal text collection module is used for converting legal statement text information submitted by a litigation user into noiseless text data; the event tree construction module is used for converting the legal text data into triple information related to the two entities through a natural language processing technology, and forming time sequence legal event tree information through a treebank; the automatic criminal name discrimination module is used for giving an automatic criminal name discrimination result through an event tree similarity matching algorithm; and the automatic penalty discrimination module is used for providing an automatic penalty discrimination result through anevent tree similarity matching algorithm on the premise of criminal name discrimination. The method has the advantages that the litigation user can be helped to quickly know the preliminary result ofcase judgment, and the system and method can help a judge to perform a final case discrimination.

Description

technical field [0001] The present invention relates to a judicial case discrimination system and method based on event tree analysis, specifically an automatic legal case discrimination system based on legal event tree, which can help litigation users quickly understand the results of the entire case discrimination, including the final The crime and sentencing, and the system can output the legal event tree most similar to the litigation user itself, so that the litigation user can better understand the details of legal case judgment, which belongs to the field of judicial intelligence technology. Background technique [0002] With the rapid development of artificial intelligence, many traditional industries have undergone reforms following this wave. Judicial intelligence is the product of courts in the era of artificial intelligence. Judicial intelligence can help litigants directly understand various results related to their own cases without professional legal knowledge...

AI Technical Summary

Problems solved by technology

At present, the most popular way to automatically identify cases is to use deep learning, which can accurately predict the results based on big data, but lacks interpretability

In fact, the use of deep learning is equivalent to black-box testing, which makes the results uninterpretable. Such results are often unacceptable to litigation users, and for judges, the case judgment only gives the final result, not Reference

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