Title:
LEGAL PROVISION SEARCH METHOD BASED ON NEURAL NETWORK HYBRID MODEL, AND RELATED DEVICE
Document Type and Number:
WIPO Patent Application WO/2021/072892
Kind Code:
A1
Abstract:
A legal provision search method based on a neural network hybrid model, and a related device, wherein same relate to the field of artificial intelligence. The method comprises: acquiring an input text, vectorizing the input text, and obtaining a first text vector and a second text vector (s101); performing stack embedment on the first text vector and the second text vector to obtain a first cyclic vector and a second cyclic vector (s102); splicing the first cyclic vector and the second cyclic vector to obtain a hybrid vector, and performing stack embedment on the hybrid vector to obtain a hybrid stack vector (s103); and performing normalization processing on the hybrid stack vector to obtain a text search result (s104). According to the method, by means of performing multi-path input on an input text, the multi-path input text is vectored, a stack embedding cyclic operation is performed, and a stack embedding cyclic operation is re-performed after splicing operation results to obtain a search result of a legal provision, such that the degree of accuracy of a legal provision search can be effectively improved.
Inventors:
YU XIUMING (CN)
LIE JUNFENG (CN)
LIU JIAWEI (CN)
CHEN CHEN (CN)
LI KE (CN)
WANG WEI (CN)
LIE JUNFENG (CN)
LIU JIAWEI (CN)
CHEN CHEN (CN)
LI KE (CN)
WANG WEI (CN)
Application Number:
PCT/CN2019/119314
Publication Date:
April 22, 2021
Filing Date:
November 19, 2019
Export Citation:
Assignee:
PING AN TECH SHENZHEN CO LTD (CN)
International Classes:
G06F16/33
Foreign References:
| CN109829055A | 2019-05-31 | |||
| CN110276068A | 2019-09-24 | |||
| CN107679224A | 2018-02-09 | |||
| CN109271524A | 2019-01-25 | |||
| CN110188192A | 2019-08-30 | |||
| CN109446416A | 2019-03-08 | |||
| CN110334189A | 2019-10-15 | |||
| US20160232444A1 | 2016-08-11 |
Attorney, Agent or Firm:
BEIJING JINGDA LAW FIRM (CN)
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