-
公开(公告)号：US20230360651A1
公开(公告)日：2023-11-09
申请号：US18330766
申请日：2023-06-07
发明人： Hyungtak CHOI , Lohith RAVURU , Hyeonmok KO , Haehun YANG , Seungchul LEE
IPC分类号： G10L15/22
CPC分类号： G10L15/22 , G10L2015/228 , G10L2015/223
摘要： An electronic apparatus is provided. The electronic apparatus includes a communication device, a memory configured to store at least one instruction and one or more vector values corresponding to dialogue history information, and a processor, based on execution of the at least one instruction, configured to extract text from the dialogue content received through the communication device, calculate a vector value of the extracted text by using a predetermined encoding algorithm, and generate response information by using the calculated vector value and the stored one or more vector values.
-
公开(公告)号：US20230020143A1
公开(公告)日：2023-01-19
申请号：US17947758
申请日：2022-09-19
发明人： Hyungtak CHOI , Munjo KIM , Seonghan RYU , Sejin KWAK , Lohith RAVURU , Haehun YANG
摘要： The disclosure refers to electronic apparatuses and controlling methods thereof. In an embodiment, an electronic apparatus includes an input interface, an output interface, and a processor that is communicatively coupled to the input interface and the output interface. The processor is configured to control the input interface to receive conversation data including one or more texts and one or more images. The processor is further configured to extract a first text and an image from the conversation data. The processor is further configured to identify a meaning of the conversation data based on at least one of the first text and the image. The processor is further configured to control the output interface to output the meaning of the conversation data.
-
公开(公告)号：US20220351151A1
公开(公告)日：2022-11-03
申请号：US17428211
申请日：2021-07-09
发明人： Hyungtak CHOI , Lohith RAVURU , Haehun YANG
IPC分类号： G06Q10/10 , G06F40/284 , G06V30/18
摘要： Disclosed is an electronic apparatus. The electronic apparatus includes: a display, a memory storing at least one instruction, and a processor connected to the memory and the display and configured to control the electronic apparatus, the processor, by executing the at least one instruction, is configured to: based on receiving a command for adding a schedule being input while an image is displayed on the display, obtain a plurality of texts by performing text recognition of the image, obtain main datetime information corresponding to each of a plurality of pieces of schedule information and sub-datetime information corresponding to the main datetime information by causing the plurality of obtained texts to be provided to a first neural network model, and update schedule information of a user based on the obtained datetime information, and the first neural network model is configured to be trained to output main datetime information and sub-datetime information corresponding to the main datetime information based on receiving a plurality of pieces of datetime information.
-
公开(公告)号：US20210090565A1
公开(公告)日：2021-03-25
申请号：US16993878
申请日：2020-08-14
发明人： Hyungtak CHOI , Hannam KIM , Sunghwan BAEK , Haehun YANG , Kwanho LEE , Namkoo LEE , Daye LEE , Yeseul LEE , Hojung LEE , Jisun CHOI , Inchul HWANG
摘要： An electronic device and a method for controlling the same are provided. The electronic device includes a microphone, a memory storing at least one instruction and dialogue history information, and a processor configured to be connected to the microphone and the memory and control the electronic device, in which the processor, by executing the at least one instruction, is configured to, based on a user's voice being input via the microphone, obtain response information for generating a response sentence to the user's voice, select at least one template phrase for generating the response sentence to the user's voice based on the stored dialogue history information, generate the response sentence using the response information and the at least one template phrase, and output the generated response sentence.
-
公开(公告)号：US20210049328A1
公开(公告)日：2021-02-18
申请号：US16966249
申请日：2019-01-28
发明人： Hyungtak CHOI , Heesik JEON , Jihie KIM , Haehun YANG , Inchul HWANG , Seungsoo KANG , Hyunwoo PARK , Daye LEE
摘要： Provided in the present disclosure are an electronic device and a natural language generation method thereof. The natural language generation method of the electronic device comprises: obtaining input data with information on a plurality of slots included for generating a response; obtaining a natural language corresponding to the input data by inputting the information on the plurality of slots to one of artificial intelligence models trained for obtaining a natural language generation template and a natural language; and outputting the obtained natural language. In particular, at least a part of a method for obtaining a natural language in order to provide a response can use an artificial intelligence model having learned according at least one of machine learning, a neural network, or a deep-learning algorithm
-
公开(公告)号：US20200057758A1
公开(公告)日：2020-02-20
申请号：US16545388
申请日：2019-08-20
发明人： Hyungtak CHOI , Seungsoo KANG , Sunhwa KO , Jihie KIM , Hyunwoo PARK , Haehun YANG , Daye LEE , Siddarth K M , Inchul HWANG
摘要： A server and a control method thereof are disclosed. The control method of a server includes receiving knowledge information from a first electronic device, storing the received knowledge information in a personal knowledge database corresponding to a user using the first electronic device, transmitting a response to an inquiry to obtain the knowledge information to at least one second electronic device based on the knowledge information stored in the personal knowledge database, based on the inquiry being received from the at least one second electronic device, receiving feedback information to the response from the at least one second electronic device, and storing the knowledge information in a global knowledge database based on the feedback information. At least a part of a method of allowing a server to provide a response to a user inquiry may use an artificial intelligence model learned according to at least one of machine learning, neural networks, or deep learning algorithms.
-
-
-
-
-
搜索结果
6 条记录 (耗时 0.015 秒)
