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Similar case recommendation method based on network representation learning

A network representation and recommendation method technology, applied in the field of network representation learning, to achieve the effect of improving work efficiency and efficiency

Active Publication Date: 2020-12-18
SOUTHEAST UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Scholars in European and American legal systems use the citation network of legal documents in the form of the Internet to complete the task of discovering similar cases, but considering the particularity of the citation network of legal documents in European and American legal systems—the network is sparse, 80% of the documents have never been cited Pass

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  • Similar case recommendation method based on network representation learning
  • Similar case recommendation method based on network representation learning
  • Similar case recommendation method based on network representation learning

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Embodiment Construction

[0026] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0027] The present invention provides a method for recommending similar cases based on network representation learning, which vectorizes legal documents through network representation learning and searches for similar documents in the document database. The invention crawls legal documents and legal entities from the Internet, links the legal entities contained in the legal documents to the legal entity database, obtains the vector representation of legal documents by using the network representation learning method, and calculates the cosine similarity to obtain similar laws paperwork.

[0028] The similar case recommendation method based on network representation learning of the present invention, wherein the schematic diagram of the basic process is as follows figure 1 As shown, the hierarchical architecture construction algorithm diagram is...

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Abstract

A similar case recommendation method based on network representation learning is mainly used for finding out ten legal documents most similar to legal documents in a huge legal document database underthe condition that the legal documents are given. According to the invention, the method includes taking legal instruments on the Internet as starting points, using a crawler technology for crawlinga large number of legal instruments, and using regular expressions for carrying out preliminary processing on the legal instruments; crawling a large number of legal entities by utilizing a crawler technology, calculating the similarity between the legal entities through bert, constructing a similar entity relationship between the legal entities reaching a threshold, constructing a legal knowledgenetwork by utilizing the legal entities and legal documents, inputting the constructed network into a network representation learning model to obtain vector values of the legal documents, and obtaining ten documents most similar to the legal documents through cosine similarity calculation.

Description

technical field [0001] The invention belongs to the field of network representation learning and relates to a method for recommending similar cases based on network representation learning. Background technique [0002] With the improvement of my country's judicial system and the establishment of legal document publicity networks such as China Judgment Document Network, a large number of legal documents have emerged on the Internet. Similar case discovery is based on the document currently viewed by the user, and similar documents are given to the current document. Finding similar cases from past cases ensures that similar situations get similar judgments. The discovery of similar cases is also a typical application module of judicial big data and smart justice, which is a great boost to my country's rule of law. The discovery of similar cases is very important in the judicial practice of legal documents. For judges, this is to ensure that the same situation is treated si...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/33G06F40/295G06Q50/18
CPCG06F16/3344G06F40/295G06Q50/18
Inventor 黄焱晖毕胜漆桂林陈佳敏
Owner SOUTHEAST UNIV
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