Samsung Electronics Co., Ltd.

Munjo Kim

Hyeonmok Ko

Inchul Hwang

Hojung Lee

Hyungtak Choi

Youngbin Shin

Sangwook Park

Sejin Kwak

Seonghan Ryu

Yeonho Lee

Changho Paeon

Kookjin Yeo

Haehun Yang

Jaechul Yang

Ikhee Shin

Lohith Ravuru

A system and method for providing a voice assistant service for text including an anaphor are provided. A method, performed by an electronic device, of providing a voice assistant service includes: obtaining first text generated from a first input, detecting a target word within the first text and generating common information related to the detected target word, using a first natural language understanding (NLU) model, obtaining second text generated from a second input, inputting the common information and the second text to a second NLU model, detecting an anaphor included in the second text and outputting an intent and a parameter, based on common information corresponding to the detected anaphor, using the second NLU model, and generating response information related to the intent and the parameter.

System and method for providing voice assistant service regarding text including anaphora

A device and method for providing a recommended sentence related to an utterance input of a user are provided. The method, performed by the device for providing a voice assistant service, includes determining whether the utterance input is a single utterance input; obtaining application history data related to the utterance input from among application history data representing an execution history of one or more applications executed by the user in the device when the utterance input is the single utterance input; generating the recommended utterance sentence related to the utterance input by using the utterance input and the obtained application history data; and outputting the generated recommended utterance sentence.

Device and method for providing recommended sentence related to utterance input of user

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.

Acquiring event information from a plurality of texts

An electronic apparatus is provided. The electronic apparatus includes a memory and a processor configured to control the electronic apparatus to: classify a plurality of input data into a plurality of types to store in the memory, determine at least one among the input data of the classified plurality of types based on a voice command being recognized among the input data, and provide response information corresponding to the voice command based on the input data of the determined type.

Electronic apparatus and controlling method thereof

An electronic apparatus and a controlling method thereof are 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 control the electronic apparatus to: determine a keyword from a query based on the query being input, obtain a word related to the keyword based on information on a user preference, and provide a response to the user query based on the keyword and the word. The processor may be configured to control the electronic apparatus to obtain at least one word from among a plurality of candidate words corresponding to the keyword as a word related to the keyword based on the user preference information. For example, at least part of a method of providing a response to a query by the electronic apparatus may use an AI model that is trained using at least one of machine learning, neural network or deep learning algorithm.

Provided are a method and device for providing an event-emotion-based interactive interface by using an artificial intelligence (AI) system. The method includes identifying an emotional state of a user for at least one event by analyzing a response to a query, learning emotion information of the user for the at least one event, based on the emotional state of the user, determining an interaction type for the at least one event, based on the emotion information of the user, and providing notification information for the at least one event, based on the interaction type.

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Suwon-si, South Korea

Munjo Kim