Abstract: An electronic apparatus is provided. The electronic apparatus according to an embodiment includes a communication interface, a memory configured to store identification information of a plurality of device, and a processor configured to, based on a user speech signal including a request related to a device being received, extract a first keyword related to a type of the device and a second keyword related to a characteristic of the device from the user speech signal, obtain specification information of the plurality of devices based on identification information of a plurality of devices corresponding to the first keyword stored in the memory, compare specification information of the plurality of devices and select a device corresponding to the second keyword, and perform an operation corresponding to the user speech signal using identification information of the selected device.

Abstract: An artificial intelligence (AI) system using a machine learning algorithm such as deep learning, and an application thereof are provided. A method of providing, by a device, a voice assistance service includes obtaining a voice input of a user, receiving certain context information from at least one peripheral device, generating first query information from the received context information and the voice input, generating second query information including noise information by inputting the first query information into a noise learning model, transmitting the generated second query information to a server, receiving, from the server, response information obtained based on the transmitted second query information, generating a response message by removing response information corresponding to the noise information from the received response information, and outputting the response message.

Abstract: A foldable display device includes a display panel including a first non-folding area including a bending area and a non-bending area, a folding area connected to the first non-folding area, and a second non-folding area spaced apart from the first non-folding area by the folding area, an adhesive layer disposed on the non-bending area of the display panel and having a first height in a direction perpendicular to a main plane extension direction of the display panel, a polarizing layer disposed on the adhesive layer and a bending protective layer disposed on the bending area of the display panel and having a second height, in the direction, lower than the first height.

Abstract: An electronic device and a control method thereof are provided. The electronic device includes a camera, a microphone, a display, a communicator including circuitry, a memory, and a processor configured to capture an image of an external device through the camera and obtain information on the external device, based on a user's voice for requesting for solution information for solving a problem regarding the external device being input through the microphone while obtaining the information on the external device, control the communicator to transmit the input user's voice and the information on the external device to a server, receive a content related to the solution information from a content of a device related to the external device from the server via the communicator, and control the display to provide the content related to the solution information along with the captured image.

Abstract: A method, performed by an electronic device, of providing a conversational service includes: receiving an utterance input; identifying a temporal expression representing a time in a text obtained from the utterance input; determining a time point related to the utterance input based on the temporal expression; selecting a database corresponding to the determined time point from among a plurality of databases storing information about a conversation history of a user using the conversational service; interpreting the text based on information about the conversation history of the user, the conversation history information being acquired from the selected database; generating a response message to the utterance input based on a result of the interpreting; and outputting the generated response message.

Abstract: A method, performed by an electronic device, of providing a conversational service includes: receiving an utterance input; identifying a temporal expression representing a time in a text obtained from the utterance input; determining a time point related to the utterance input based on the temporal expression; selecting a database corresponding to the determined time point from among a plurality of databases storing information about a conversation history of a user using the conversational service; interpreting the text based on information about the conversation history of the user, the conversation history information being acquired from the selected database; generating a response message to the utterance input based on a result of the interpreting; and outputting the generated response message.

Abstract: Provided is a system and method of modifying a knowledge graph for providing a service. A method, performed by a server, of modifying a knowledge graph for providing a service includes obtaining text related to an inquiry of a user; identifying a service related to an intention of the user by interpreting the text using at least one natural language understanding (NLU) model; obtaining a detailed knowledge graph related to the identified service; identifying at least one parameter indicating a constraint based on the intention of the user, based on a result of the interpreting; selecting a common knowledge graph related to a parameter representing the constraint from among a plurality of common knowledge graphs related to the identified service; extracting a first knowledge triple related to the parameter from the selected common knowledge graph; and modifying the detailed knowledge graph based on the extracted first knowledge triple.

Abstract: Disclosed are an electronic device and a control method thereof. The electronic device includes a memory, and a processor configured to, based on a text being input, determine semantic roles of sentence components included in the text by inputting information on the input text to a first model trained to determine semantic roles of sentence components included in a sentence, obtain a risk level of the text by inputting the sentence components corresponding to the determined semantic roles to a second model trained to output a risk level based on the semantic roles of the sentence components included in the sentence, and perform an operation corresponding to the obtained risk level of the text.

Abstract: An electronic device and a control method thereof are provided. The electronic device includes a memory storing instructions; and a processor configured to execute the instructions to: based on a text being input, determine semantic roles of sentence components included in the text by inputting information on the text to a first model trained to determine the semantic roles of the sentence components; obtain a risk level of the text by inputting the sentence components with the determined semantic roles of the sentence components to a second model trained to output the risk level of the text based on the semantic roles of the sentence components; and perform an operation corresponding to the obtained risk level of the text.

Abstract: An electronic device and a control method thereof are provided. The electronic device includes a camera, a microphone, a display, a communicator including circuitry, a memory, and a processor configured to capture an image of an external device through the camera and obtain information on the external device, based on a user's voice for requesting for solution information for solving a problem regarding the external device being input through the microphone while obtaining the information on the external device, control the communicator to transmit the input user's voice and the information on the external device to a server, receive a content related to the solution information from a content of a device related to the external device from the server via the communicator, and control the display to provide the content related to the solution information along with the captured image.

Abstract: An electronic apparatus includes a memory storing instructions, a plurality of chat-bots for responding to a plurality of questions, and a question classification model trained to identify a chat-bot among the plurality of chat-bots for responding to an input question, and a processor configured to execute the instructions to input the input question into the question classification model, the question classification model outputting a first chat-bot among the plurality of chat-bots for responding to the input question, acquire a first response for the input question, through the outputted first chat-bot, based on the acquired first response comprising information of a function that can be performed at the electronic apparatus, generate a question requesting to perform the function, and input the generated question into the question classification model, the question classification model outputting a second chat-bot among the plurality of chat-bots for responding to the generated question.

Abstract: An electronic device is provided. The electronic device includes a memory storing recording data including a content of a conversation and at least one instruction, and a processor configured, by executing the at least one instruction, to input first data corresponding to a first voice in the content of the conversation into a first neural network model and acquire category information of the first data, and acquire category information of second data corresponding to a second voice in the content of the conversation. The processor is configured to, based on the category information of the first data and the category information of the second data being different, train the first neural network model based on the category information of the second data and the first data.

Abstract: An electronic device is provided. The electronic device includes a memory storing recording data including a content of a conversation and at least one instruction, and a processor configured, by executing the at least one instruction, to input first data corresponding to a first voice in the content of the conversation into a first neural network model and acquire category information of the first data, and acquire category information of second data corresponding to a second voice in the content of the conversation. The processor is configured to, based on the category information of the first data and the category information of the second data being different, train the first neural network model based on the category information of the second data and the first data.

Abstract: An artificial intelligence (AI) system using a machine learning algorithm such as deep learning, and an application thereof are provided. A method of providing, by a device, a voice assistance service includes obtaining a voice input of a user, receiving certain context information from at least one peripheral device, generating first query information from the received context information and the voice input, generating second query information including noise information by inputting the first query information into a noise learning model, transmitting the generated second query information to a server, receiving, from the server, response information obtained based on the transmitted second query information, generating a response message by removing response information corresponding to the noise information from the received response information, and outputting the response message.

Abstract: An electronic apparatus is provided. The electronic apparatus according to an embodiment includes a communication interface, a memory configured to store identification information of a plurality of device, and a processor configured to, based on a user speech signal including a request related to a device being received, extract a first keyword related to a type of the device and a second keyword related to a characteristic of the device from the user speech signal, obtain specification information of the plurality of devices based on identification information of a plurality of devices corresponding to the first keyword stored in the memory, compare specification information of the plurality of devices and select a device corresponding to the second keyword, and perform an operation corresponding to the user speech signal using identification information of the selected device.

Abstract: A method for providing a manual of an electronic apparatus is provided. The method includes providing a display device with one of a plurality of manuals for an external device, obtaining a user response for the provided manual, determining an understanding level for the manual based on the obtained user response, and substituting the provided manual with another manual among the plurality of manuals according to the understanding level. The plurality of manuals may include a general manual, a detailed manual, and a simple manual.

Abstract: An electronic device is provided. The electronic device includes a memory storing recording data including a content of a conversation and at least one instruction, and a processor configured, by executing the at least one instruction, to input first data corresponding to a first voice in the content of the conversation into a first neural network model and acquire category information of the first data, and acquire category information of second data corresponding to a second voice in the content of the conversation. The processor is configured to, based on the category information of the first data and the category information of the second data being different, train the first neural network model based on the category information of the second data and the first data.

Abstract: A method for providing a manual of an electronic apparatus is provided. The method includes providing a display device with one of a plurality of manuals for an external device, obtaining a user response for the provided manual, determining an understanding level for the manual based on the obtained user response, and substituting the provided manual with another manual among the plurality of manuals according to the understanding level. The plurality of manuals may include a general manual, a detailed manual, and a simple manual.

Abstract: A method, performed by an electronic device, of providing a conversational service includes: receiving an utterance input; identifying a temporal expression representing a time in a text obtained from the utterance input; determining a time point related to the utterance input based on the temporal expression; selecting a database corresponding to the determined time point from among a plurality of databases storing information about a conversation history of a user using the conversational service; interpreting the text based on information about the conversation history of the user, the conversation history information being acquired from the selected database; generating a response message to the utterance input based on a result of the interpreting; and outputting the generated response message.