公开(公告)号：US20230260515A1

公开(公告)日：2023-08-17

申请号：US18305652

申请日：2023-04-24

Applicant: Samsung Electronics Co., Ltd.

Inventor： Seohyun BACK ,  Yonghyun RYU ,  Wonho RYU ,  Haejun LEE ,  Cheolseung JUNG ,  Sai CHETAN ,  Jiyeon HONG

IPC: G10L15/22 ,  G06T13/00 ,  G10L15/16 ,  G06N3/08 ,  G10L15/18

CPC classification number: G10L15/22 ,  G06T13/00 ,  G10L15/16 ,  G06N3/08 ,  G10L15/1815 ,  G10L2015/223

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.

公开(公告)号：US20240079008A1

公开(公告)日：2024-03-07

申请号：US18503741

申请日：2023-11-07

Applicant: Samsung Electronics Co., Ltd.

Inventor： Seohyun BACK ,  Yonghyun RYU ,  Wonho RYU ,  Haejun LEE ,  Cheolseung JUNG ,  Sai CHETAN ,  Jiyeon HONG

IPC: G10L15/22 ,  G06N3/08 ,  G06T13/00 ,  G10L15/16 ,  G10L15/18

CPC classification number: G10L15/22 ,  G06N3/08 ,  G06T13/00 ,  G10L15/16 ,  G10L15/1815 ,  G10L2015/223

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.

公开(公告)号：US20210174801A1

公开(公告)日：2021-06-10

申请号：US17111734

申请日：2020-12-04

Applicant: Samsung Electronics Co., Ltd.

Inventor： Seohyun BACK ,  Yonghyun RYU ,  Wonho RYU ,  Haejun LEE ,  Cheolseung JUNG ,  Sai CHETAN ,  Jiyeon HONG

IPC: G10L15/22 ,  G06T13/00 ,  G10L15/18 ,  G10L15/16 ,  G06N3/08

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.