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Legal information extraction model, method and system, device and auxiliary system

An information extraction and legal technology, applied in neural learning methods, biological neural network models, instruments, etc., can solve the problem of low accuracy of legal information, and achieve the effect of reducing dependence and improving accuracy

Active Publication Date: 2020-09-18
SICHUAN UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problem of low accuracy of extracting legal information in the trial process of the people's court, the purpose of the present invention is to start from the public judgment document, and finally realize the extraction of relevant important legal information elements in the judgment document

Method used

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  • Legal information extraction model, method and system, device and auxiliary system
  • Legal information extraction model, method and system, device and auxiliary system

Examples

Experimental program
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Embodiment 1

[0039]Embodiment 1. Embodiment 1 of the present invention provides a judicial document legal information extraction model, which includes: a word embedding layer, a shared-private information extractor, a task-specific CRF layer, and a task discriminator; The word embedding layer is used to convert the words in the sentence into word vectors; the shared-private information extractor consists of BI-LSTM, and the shared-private information extractor includes 2 private information extractors and a shared information extractor, one of which is private The information extractor is used to learn the boundary line in the word segmentation task, another private information extractor is used to learn the boundary line in the entity recognition task, and the shared information extractor is used to learn the boundary line shared by the word segmentation task and the entity recognition task; the task-specific CRF layer is The output representations of the two private information extractors...

Embodiment 2

[0041] Please refer to figure 1 , figure 1 It is a flow diagram of a judgment document information extraction method based on adversarial transfer learning. From public judgment documents, judges can use the present invention to extract relevant legal information elements to achieve multiple purposes such as assisting subsequent case handling and establishing a judicial case database. Specific steps are as follows:

[0042] First, legal experts define the types of entities that need to be marked, such as common entity types such as names, companies, and money, as well as legal entity types based on actual conditions;

[0043] Select several judgment documents, the more judgment documents the better, such as 50,000 judgment documents, mark the defined entity type with the existing labeling tool, mark the entity in the form of BIO, and B indicates the beginning of the entity , I represents the middle character of the entity, and O represents the character not related to the en...

Embodiment 3

[0053] Please refer to figure 2 , figure 2 It is a schematic diagram of the composition of the legal information extraction system, an embodiment of the present invention provides a legal information extraction system, and the system includes:

[0054] The definition unit is used to define the entity types that need to be marked in the referee document;

[0055] The labeling unit is used to label the entity types in the selected referee documents based on the defined entity types to obtain the labeled entity recognition data set;

[0056] The training set obtaining unit is used to obtain the public legal word segmentation data set, and obtain the training set based on the legal word segmentation data set and the entity recognition data set;

[0057] The model establishment and training unit is used to establish a legal information extraction model of adjudication documents, use the training set to train the legal information extraction model of adjudication documents, and ...

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Abstract

The invention discloses a legal information extraction model, a legal information extraction method, a legal information extraction system, a legal information extraction device and an auxiliary system, and relates to the field of natural language processing. Labeling entity types in the plurality of selected judgment documents; obtaining a training set based on the legal word segmentation data set and the entity recognition data set; establishing a judgment document legal information extraction model, and training the judgment document legal information extraction model by utilizing the training set; inputting a judgment document with legal information to be extracted into the trained judgment document legal information extraction model, and outputting a legal information extraction result in the judgment document; the judgment document legal information extraction model structure comprises a word embedding layer, a sharing-private information extractor, a task specific CRF layer anda task discriminator. According to the method, the disclosed judgment document is taken as a starting point, and finally extraction of relevant important legal information elements in the judgment document is realized.

Description

technical field [0001] The present invention relates to the field of natural language processing, in particular, to a legal information extraction model, method, system, device and medium in adjudication documents, and a legal case trial auxiliary system. Background technique [0002] Judgment documents are documents with legal significance issued by the people's court to the parties based on the specific case conditions after hearing the parties' requests or disputes. At present, there are a large number of legal information elements in the judgment documents, which are helpful to the subsequent trial process in the construction of the legal information case database. Existing methods for extracting legal information elements of judgment documents are mostly based on summarizing relevant rules by legal experts, constantly improving the regular engine or by converting the information extraction task into a named entity recognition task, but there are incomplete word meanings...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/284G06N3/04G06N3/08G06Q50/18
CPCG06F40/284G06Q50/18G06N3/08G06N3/044G06N3/045
Inventor 翁洋李鑫王竹其他发明人请求不公开姓名
Owner SICHUAN UNIV
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