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Title:
METHODS FOR NATURAL LANGUAGE PROCESSING AND TRAINING NATURAL LANGUAGE PROCESSING MODEL, AND DEVICE
Document Type and Number:
WIPO Patent Application WO/2023/020522
Kind Code:
A1
Abstract:
The present disclosure relates to methods for natural language processing (NLP) and a method for training an NLP model, an electronic device, and a computer-readable storage medium, which relate to the technical field of NLP. A method for NLP comprises: obtaining text data; and processing the text data by using an NLP model, and obtaining output information, the NLP model comprising a first attention model, the first attention model comprising a sequential encoding matrix, and the sequential encoding matrix being used for adding, on the basis of the text data, sequential relationship information between at least one word and another word in the text data. According to the present disclosure, by adding a sequential encoding matrix to the first attention model, the NLP model can more conveniently and rapidly learn about word order information of the text data, so as to more conveniently and rapidly understand semantic information of the text data, thereby improving the accuracy of NLP.

Inventors:
ZHONG CHUQIAN (CN)
JIANG BORAN (CN)
OU GE (CN)
JI CHAO (CN)
WEI SHUQI (CN)
HOU MENGJUN (CN)
Application Number:
PCT/CN2022/112930
Publication Date:
February 23, 2023
Filing Date:
August 17, 2022
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Assignee:
BOE TECHNOLOGY GROUP CO LTD (CN)
BEIJING BOE TECHNOLOGY DEV CO LTD (CN)
International Classes:
G06F40/284
Foreign References:
CN113239700A2021-08-10
CN112288075A2021-01-29
CN112241631A2021-01-19
US20200250379A12020-08-06
Attorney, Agent or Firm:
CCPIT PATENT AND TRADEMARK LAW OFFICE (CN)
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