公开(公告)号：US20230259545A1

公开(公告)日：2023-08-17

申请号：US18140202

申请日：2023-04-27

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Hyungtak CHOI ,  Hyeonmok Ko ,  Munjo Kim ,  Seonghan Ryu ,  Sejin Kwak ,  Lohith Ravuru ,  Ikhee Shin ,  Haehun Yang

IPC: G06F16/34 ,  G06V30/148 ,  G06F3/0485 ,  G06F16/332

CPC classification number: G06F16/345 ,  G06F3/0485 ,  G06F16/3329 ,  G06V30/153

Abstract: An electronic device and a method for controlling thereof are provided. The electronic device includes a display, a memory storing at least one instruction, and a processor, wherein the processor is configured to, by executing the at least one instruction, extract a plurality of texts displayed on a chat window of a message application and collect the texts, input the plurality of collected texts into a trained first neural network model and align the plurality of texts in order, input the plurality of texts aligned in order into a trained second neural network model and identify whether additional information for acquiring event information from the plurality of texts is necessary, and acquire event information from the plurality of texts based on the identification result.

公开(公告)号：US11880654B2

公开(公告)日：2024-01-23

申请号：US18140202

申请日：2023-04-27

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Hyungtak Choi ,  Hyeonmok Ko ,  Munjo Kim ,  Seonghan Ryu ,  Sejin Kwak ,  Lohith Ravuru ,  Ikhee Shin ,  Haehun Yang

IPC: G06F40/279 ,  G06F16/332 ,  G06F3/0485 ,  G06F40/205 ,  G06N3/08 ,  G06F16/34 ,  G06V30/148

CPC classification number: G06F40/279 ,  G06F3/0485 ,  G06F16/3329 ,  G06F40/205 ,  G06N3/08 ,  G06F16/345 ,  G06V30/153

Abstract: An electronic device and a method for controlling thereof are provided. The electronic device includes a display, a memory storing at least one instruction, and a processor, wherein the processor is configured to, by executing the at least one instruction, extract a plurality of texts displayed on a chat window of a message application and collect the texts, input the plurality of collected texts into a trained first neural network model and align the plurality of texts in order, input the plurality of texts aligned in order into a trained second neural network model and identify whether additional information for acquiring event information from the plurality of texts is necessary, and acquire event information from the plurality of texts based on the identification result.