The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 20, 2026

Filed:

Sep. 30, 2022
Applicant:

Xi'an Jiaotong University, Xi'an, CN;

Inventors:

Qinghua Zheng, Xi'an, CN;

Kunming MA, Xi'an, CN;

Jun Liu, Xi'an, CN;

Xingyi Li, Xi'an, CN;

Dailusi MA, Xi'an, CN;

Jiaxin Wang, Xi'an, CN;

Haiping Zhu, Xi'an, CN;

Kexin MA, Xi'an, CN;

Hongxuan Li, Xi'an, CN;

Bifan Wei, Xi'an, CN;

Lingling Zhang, Xi'an, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/02 (2023.01); G06F 16/36 (2019.01); G06F 18/20 (2023.01); G06F 18/241 (2023.01); G06F 40/211 (2020.01); G06F 40/295 (2020.01); G06F 40/30 (2020.01); G06N 3/042 (2023.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06N 5/022 (2023.01); G06V 30/19 (2022.01);
U.S. Cl.
CPC ...
G06N 5/02 (2013.01); G06V 30/19127 (2022.01); G06V 30/19187 (2022.01); G06F 16/367 (2019.01); G06F 18/241 (2023.01); G06F 18/29 (2023.01); G06F 40/211 (2020.01); G06F 40/295 (2020.01); G06F 40/30 (2020.01); G06N 3/042 (2023.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06N 5/022 (2013.01);
Abstract

A method and device for constructing a legal knowledge graph based on joint entity and relation extraction. The construction method comprises the following steps: constructing a triple data set; design of a model architecture and training of a model, wherein the model architecture comprises an encoding layer, a head entity extraction layer and a relation-tail entity extraction layer; determination of the relation between the sentences of the text; triple combination and graph visualization. The design of the model framework of the present disclosure adopts a Chinese Bert pre-training model as an encoder. In the entity extraction part, two BiLSTM binary classifiers are used to identify the start position and end position of an entity. The head entity is first extracted, and then the tail entity corresponding to the entity relation is extracted from the extracted head entity.


Find Patent Forward Citations

Zheng, Qinghua. (2026). Method and device for constructing legal knowledge graph based on joint entity and relation extraction (U.S. Patent No. 12530597). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12530597

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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