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:
Aug. 05, 2025

Filed:

Apr. 24, 2023
Applicant:

Samsung Electronics Co., Ltd., Suwon-si, KR;

Inventors:

Seohyun Back, Suwon-si, KR;

Yonghyun Ryu, Suwon-si, KR;

Wonho Ryu, Suwon-si, KR;

Haejun Lee, Suwon-si, KR;

Cheolseung Jung, Suwon-si, KR;

Sai Chetan, Suwon-si, KR;

Jiyeon Hong, Suwon-si, KR;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/22 (2006.01); G06N 3/08 (2023.01); G06T 13/00 (2011.01); G10L 15/16 (2006.01); G10L 15/18 (2013.01);
U.S. Cl.
CPC ...
G10L 15/22 (2013.01); G06N 3/08 (2013.01); G06T 13/00 (2013.01); G10L 15/16 (2013.01); G10L 15/1815 (2013.01); G10L 2015/223 (2013.01);
Abstract

A method of improving output content through iterative generation is provided. The method includes receiving a natural language input, obtaining user intention information based on the natural language input by using a natural language understanding (NLU) model, setting a target area in base content based on a first user input, determining input content based on the user intention information or a second user input, generating output content related to the base content based on the input content, the target area, and the user intention information by using a neural network (NN) model, generating a caption for the output content by using an image captioning model, calculating similarity between text of the natural language input and the generated output content, and iterating generation of the output content based on the similarity.


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