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:
Mar. 03, 2026

Filed:

May. 12, 2023
Applicants:

Hongyu LI, Beijing, CN;

Bin Dong, Beijing, CN;

Shanshan Jiang, Beijing, CN;

Lei Ding, Beijing, CN;

Inventors:

Hongyu Li, Beijing, CN;

Bin Dong, Beijing, CN;

Shanshan Jiang, Beijing, CN;

Lei Ding, Beijing, CN;

Assignee:

Ricoh Company, Ltd., Tokyo, JP;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/09 (2023.01); G06F 40/166 (2020.01); G06F 40/30 (2020.01); G06F 40/40 (2020.01);
U.S. Cl.
CPC ...
G06N 3/09 (2023.01); G06F 40/166 (2020.01); G06F 40/30 (2020.01); G06F 40/40 (2020.01);
Abstract

A method and an apparatus for training a machine reading comprehension model, and a non-transitory computer-readable recording medium are provided. A training process is repeatedly performed using a training sample set to obtain a machine reading comprehension model. The training process includes inputting a sample article and a sample question into the machine reading comprehension model, generating a first predicted answer, and calculating a first loss between the first predicted answer and a sample answer; replacing the sample question with a mask to obtain a mask question, inputting the sample article and the mask question into the machine reading comprehension model, generating a second predicted answer corresponding to the mask question, and calculating a second loss between the second predicted answer and the sample answer; and updating the machine reading comprehension model so as to minimize a total loss.


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