Samsung Electronics Co., Ltd.

Lg Electronics Inc.

Ewha University-Industry Collaboration Foundation

Eunji Lee

Seonghan Ryu

Yongjin Cho

Sungja Choi

Yubin Seo

Sea La Park

Jiyeon Hong

Donghyeon Lee

Jongsun Lee

Sure Bak

Jongyoub Ryu

Seungchul Lee

Hyungrai Oh

Sam Hyuk Noh

Sungjong Park

Junghyo Woo

Hyokyung Bahn

Gangho Woo

Youngwon Jeong

Junhee Yeo

Sechun Kang

Suk-Soo Pyo

Hyeonmok Ko

Jinyung Park

HyunJung Kim

Inchul Hwang

Jaehoon Cho

Hyungtak Choi

Sungeun Kim

Kyungjin Kim

Kyenghun Lee

Saebom Jang

Jongcheol Kim

Changho Paeon

Raghavendra Ramappa

Pureum Jung

Haejun Lee

Jonghyun Kim

Youngtaek Kim

Jaechul Yang

Ramesh Venkatachalapathy

Hyungrok Kim

Jaehee Jung

Ikhee Shin

Ashesh Chagana Boyana

Krishna Prasad

Kodandarama Suman Rajkumaar

Taehee Gwak

Kangtae Kim

Srikanta Satapathy

Fairoz Matte

Saravana Kumar

Praveen Kumar Singapati

Ramappa Raghavendra

An electronic apparatus includes a memory configured to store personal data associated with a user, a communication interface configured to communicate with a server, and a processor configured to obtain, from the personal data associated with the user stored in the memory and based on a user speech being received, personal data corresponding to the user speech, identify, from the personal data corresponding to the user speech, first sub data corresponding to a private attribute and second sub data corresponding to a public attribute, obtain combination information based on the user speech and the second sub data, transmit, through the communication interface, the combination information to the server, and obtain response information corresponding to the combination information from the server.

Electronic apparatus and controlling method thereof

A control method of an electronic apparatus includes clustering words included in a plurality of domains respectively into a plurality of clustering groups based on information corresponding to the plurality of domains; obtaining an embedding vector between the words and the plurality of clustering groups based on learning data corresponding to respective domains, the words, and mass text learning data; and generating one or more final clustering groups of the words based on the obtained embedding vector and the plurality of clustering group.

Electronic apparatus and control method thererof

Provided are an electronic device for correcting a speech input, and an operating method thereof. The method may include receiving a first speech signal; obtaining first text; obtaining an intent of the first speech signal and a confidence score of the intent, by inputting the first text to a natural language understanding model; identifying a plurality of correction candidate semantic elements capable of being correction targets in the first text; receiving a second speech signal; obtaining second text; identifying whether the second speech signal is a speech signal for correcting the first text; comparing the plurality of correction candidate semantic elements in the first text with a semantic element in the second text, based on the confidence score; and correcting at least one of the plurality of correction candidate semantic elements in the first text.

Electronic device for correcting speech input of user and operating method thereof

Disclosed is an electronic device. The electronic device may execute an application for transmitting and receiving at least one of text data or voice data with another electronic device using the communication module, in response to occurrence of at least one event, based on receiving at least one of text data or voice data from the another electronic device, identify that a confirmation is necessary using the digital assistant based on at least one of text data or voice data being generated based on a characteristic of ab utterance using a digital assistant, generate a notification to request confirmation using the digital assistant based on confirmation being necessary, and output the notification using the application. A method for identifying that a confirmation is necessary may include identifying using voice data or text data that is received from another electronic device using a rule-based or AI algorithm. When a confirmation is necessary is identified using the AI algorithm, the method may use machine learning, neural network, or a deep learning algorithm.

Electronic device and method of controlling thereof

Disclosed are an electronic device, a system, and a controlling method thereof. The controlling method includes: receiving an input utterance, determining whether domain information and intent information are able to be extracted by analyzing the input utterance, based on at least one of the domain information and the intent information not being extracted, broadcasting a signal requesting previous utterance related information to one or more external devices connected to a same network as the electronic device, receiving the previous utterance related information from the at least one external device, extracting the domain information and the intent information based on the received previous utterance related information and the input utterance, and obtaining and outputting a response result based on the extracted domain information and intent information.

Electronic device, system and control method thereof

A mobile terminal and controlling method thereof are disclosed, which facilitates a terminal to be used in further consideration of user's convenience. According to at least one of embodiments of the present invention, a strict authentication procedure for expense payment can be performed via a simple and convenient user interface between a mobile terminal and a terminal user. In particular, since at least one of a selection and authentication of a payment means of the mobile terminal can be performed via at least one of an aligned direction, a moving direction and a moving track of the mobile terminal, the user interface between the mobile terminal and the terminal user for the expense payment can be further simplified.

Mobile terminal and controlling method thereof

A nonvolatile memory device including a memory cell array including a plurality of nonvolatile memory cells and a row decoder connected with the memory cell array through wordlines may be provided. The row decoder may be configured to precharge a first wordline corresponding to a first row address from among the wordlines, in response to receiving the first row address together with a first command, and maintain a precharge state of the first wordline, in response to receiving a second row address being identical to the first row address together with a second command following the first command.

Nonvolatile memory device, operating method of nonvolatile memory device, and electronic device including nonvolatile memory device

An electronic apparatus is provided. The electronic apparatus includes: a memory configured to store at least one instruction; and a processor configured to execute the at least one instruction to: obtain usage information on an application installed in the electronic apparatus, obtain a natural language understanding model, among a plurality of natural language understanding models, corresponding to the application based on the usage information, perform natural language understanding of a user voice input related to the application based on the natural language understanding model corresponding to the application, and perform an operation of the application based on the preformed natural language understanding.

Electronic apparatus and control method thereof

Disclosed is a method for controlling an electronic apparatus. A method for controlling an electronic apparatus includes: obtaining a speech signal; obtaining a first sentence based on the speech signal and obtaining a first feature value for the first sentence by inputting the first sentence to a natural language understanding module; obtaining first semantic information corresponding to the first sentence and obtaining a second feature value for the first semantic information by inputting the first semantic information to a natural language generation module; and training the natural language understanding module and the natural language generation module to provide the first feature value and the second feature value within a predetermined distance in a vector space.

Electronic apparatus and method for controlling thereof

A packet transmission method includes packaging a plurality of data in the form of a payload; storing information on whether the plurality of data are packaged in a header, the payload or a CRC area including a transmission error check code of the plurality of data; combining the header, the payload, and the CRC area with each other to generate a transaction layer packet; and outputting a packet including the transaction layer packet.

Interface circuit and packet transmission method thereof

Disclosed herein are a buffer cache apparatus, a journaling file system, and a journaling method capable of incorporating journaling features based on nonvolatile memory. The buffer cache apparatus provides a data buffering function between a central processing unit (CPU) and storage. The buffer cache apparatus includes a plurality of cache blocks and a journal management unit. The plurality of cache blocks are configured as volatile or nonvolatile memory devices. The journal management unit maintains states of freezing for write-protecting dirty up-to-date cache blocks among the plurality of cache blocks.

Buffer cache apparatus, journaling file system and journaling method for incorporating journaling features within non-volatile buffer cache

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Seoul, South Korea

Eunji Lee