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Theft case legal document named entity identification method based on adversarial transfer learning

A named entity recognition and named entity technology, applied in the field of named entity recognition in legal documents

Active Publication Date: 2020-06-05
DALIAN UNIV OF TECH
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  • Summary
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AI Technical Summary

Problems solved by technology

Although many named entity recognition methods in the general field have emerged, the research on named entity recognition methods in the judicial field is still in the exploratory stage, and how to use the results of named entity recognition in the general field to improve the recognition performance of named entities in the judicial field , there is no related research

Method used

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  • Theft case legal document named entity identification method based on adversarial transfer learning
  • Theft case legal document named entity identification method based on adversarial transfer learning
  • Theft case legal document named entity identification method based on adversarial transfer learning

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Embodiment Construction

[0067] The present invention will be further described below in conjunction with accompanying drawing.

[0068] Such as figure 1 As shown, a named entity recognition method for legal documents in theft cases based on adversarial transfer learning includes the following steps:

[0069] Step 1. Construct a legal named entity dataset, define the meaning of the involved named entities, construct, label, and adjust the named entity recognition dataset for theft cases and generate a training set and a test set, specifically including the following sub-steps:

[0070] (a) The definition of named entities. According to the meaning of named entities involved in judicial documents and the judicial business involved, named entities are divided into natural attribute named entities and judicial business named entities. Natural attribute named entities are recorded as N-NER. Focusing on expressing the general and basic meaning represented by the entity, and the judicial business named ent...

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Abstract

The invention relates to a legal document named entity identification method, in particular to a theft case legal document named entity identification method based on adversarial transfer learning, which comprises the following steps: (1) constructing a legal named entity data set, (2) constructing an adversarial transfer learning neural network model, (3) testing the model, and (4) discussing a result. The method is practicable and clear in structure, has a reference value, can improve the accuracy of legal named entity recognition, can be applied to legal knowledge graph construction, multi-person multi-section case factual decomposition, evidence association analysis, judicial knowledge graph construction and the like based on legal named entity recognition.

Description

technical field [0001] The invention relates to a method for identifying named entities of legal documents, and more specifically, to a method for identifying named entities of legal documents in theft cases based on adversarial transfer learning. Background technique [0002] In recent years, with the continuous advancement of national judicial reform, the application of artificial intelligence technology in the judicial field has attracted extensive attention from researchers and attention from all parties, especially the intelligent analysis and processing of massive legal documents has become a judicial artificial intelligence important content of the research. The named entity recognition of legal documents, as an important and basic work in the field of judicial artificial intelligence, is widely used in tasks such as fact decomposition of multi-person and multi-section cases, evidence correlation analysis, and judicial knowledge map construction. Named Entity Recogni...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/295G06N3/04G06N3/08
CPCG06N3/08G06N3/045
Inventor 孙媛媛李春楠许策王小鹏
Owner DALIAN UNIV OF TECH
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