公开(公告)号：US20200293168A1

公开(公告)日：2020-09-17

申请号：US16814150

申请日：2020-03-10

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jaewon KIM ,  Haejun LEE

IPC: G06F3/0484 ,  G06F3/0488 ,  G06F3/0482 ,  G06F9/451 ,  G06F40/20

Abstract: An electronic apparatus is provided. The electronic apparatus includes a display and a processor configured to control the electronic apparatus to: obtain a text corresponding to an input based on a machine reading comprehension (MRC) model, obtain a plurality of operation information by dividing the text into an operation unit of the electronic apparatus, obtain sequence information of the plurality of operation information based on the plurality of operation information and the obtained text, and control the display to provide a guide user interface (UI) to sequentially perform the plurality of operations based on the sequence information.

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：US20220215276A1

公开(公告)日：2022-07-07

申请号：US17607702

申请日：2020-08-12

Applicant: Samsung Electronics Co., Ltd.

Inventor： Haejun LEE ,  Cheolseung JUNG

IPC: G06N5/04 ,  G06N3/08 ,  G06F16/903

Abstract: Disclosed are an electronic device and a method for controlling an electronic device. The electronic device according to the disclosure obtains text information corresponding to a user's question, obtains a plurality of keywords related to the user's question and importance values for the respective keywords by inputting the text information corresponding to the user's question to a trained first neural network model, identifies at least one search word to be input to a search engine among the plurality of keywords by inputting the plurality of keywords and the importance values to a trained second neural network model, and provides an answer to the user's question based on the at least one identified search word.

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：US20220237244A1

公开(公告)日：2022-07-28

申请号：US17671864

申请日：2022-02-15

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Haejun LEE ,  Jongyoub RYU

IPC: G06F16/9532 ,  G06F16/9537 ,  G06F16/9535 ,  G06F16/9538

Abstract: Provided are a method and device for providing an integrated search service. The method may include: determining a search word based on a text string, determining a common graphical user interface (GUI) template based on the search word, obtaining a plurality of search results retrieved based on the search word, categorizing the plurality of search results into a plurality of search result groups including a first search result group and a second search result group, displaying the common GUI template on a first region of a display among a plurality of regions of the display, and displaying summary information of the search results included in the first search result group and summary information of the search results included in the second search result group in the common GUI template displayed on the first region of the display.

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.