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:
Dec. 19, 2023

Filed:

Aug. 20, 2021
Applicant:

Beijing Baidu Netcom Science and Technology Co., Ltd., Beijing, CN;

Inventors:

Yuchen Ding, Beijing, CN;

Yingqi Qu, Beijing, CN;

Jing Liu, Beijing, CN;

Kai Liu, Beijing, CN;

Dou Hong, Beijing, CN;

Hua Wu, Beijing, CN;

Haifeng Wang, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/33 (2019.01); G06N 20/20 (2019.01);
U.S. Cl.
CPC ...
G06F 16/3347 (2019.01); G06F 16/3344 (2019.01); G06N 20/20 (2019.01);
Abstract

The present application discloses a method and apparatus for training a retrieval model, device and computer storage medium that relate to intelligent search and natural language processing technologies. An implementation includes: acquiring initial training data; performing a training operation using the initial training data to obtain an initial retrieval model; selecting texts with the correlation degrees with a query in the training data meeting a preset first requirement from candidate texts using the initial retrieval model; performing a training operation using the updated training data to obtain a first retrieval model; and selecting texts with the correlation degrees with the query in the training data meeting a preset second requirement from the candidate texts using the first retrieval model; and/or selecting texts with the correlation degrees with the query meeting a preset third requirement; and performing a training operation using the expanded training data to obtain a second retrieval model.


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