Abstract: A server and a control method thereof are provided. The method for controlling the server includes obtaining information of an activity of a user using a service system, determining a user intent based on the information on the activity of the user, transmitting a question text to a chatbot system by obtaining the question text corresponding to the user intent based on the user intent, receiving a first response text to the question text from the chatbot system, determining whether to transmit the first response text to a user terminal of the user based on the first response text, and transmitting the first response text to the user terminal.

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 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: 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 device for performing speech recognition and a method therefor are provided. The method includes detecting a first text, which is preset for performing speaker recognition, by performing speech recognition on a first speech signal, performing speaker recognition on a second speech signal acquired after the first speech signal, based on the first text being detected, and executing a voice command obtained from the second speech signal, based on a result of performing the speaker recognition on the second speech signal indicating that a speaker of the second speech signal corresponds to a first speaker who registered the first text.

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: An electronic apparatus is disclosed. The electronic apparatus includes a memory configured to store a plurality of searchable texts and a plurality of neural network models, and a processor. The processor is configured to identify a first entity among words included in an input text by inputting the input text into a first neural network model, acquire at least one text among the searchable texts which is positioned adjacent to the identified first entity on a first vector space by inputting the identified first entity into a second neural network model, identify at least one text among the acquired texts which is positioned adjacent to the input text on a second vector space, and output a search result based on the identified text.

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: A method of controlling an electronic apparatus is provided. The method includes obtaining a name referring to a user of another electronic apparatus in a chat with the user of the other electronic apparatus using an artificial intelligence (AI) model trained by an AI algorithm while conducting the chat with the user of the other electronic apparatus using the electronic apparatus; and storing the obtained name in association with contact information of the user of the other electronic apparatus. At least some of the control method of the disclosure may use an AI model trained according to at least one of machine learning, neural network, or deep learning algorithm.

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 for performing speech recognition and a method therefor are provided. The method includes detecting a first text, which is preset for performing speaker recognition, by performing speech recognition on a first speech signal, performing speaker recognition on a second speech signal acquired after the first speech signal, based on the first text being detected, and executing a voice command obtained from the second speech signal, based on a result of performing the speaker recognition on the second speech signal indicating that a speaker of the second speech signal corresponds to a first speaker who registered the first 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 device for performing speech recognition and a method therefor are provided. The method includes detecting a first text, which is preset for performing speaker recognition, by performing speech recognition on a first speech signal, performing speaker recognition on a second speech signal acquired after the first speech signal, based on the first text being detected, and executing a voice command obtained from the second speech signal, based on a result of performing the speaker recognition on the second speech signal indicating that a speaker of the second speech signal corresponds to a first speaker who registered the first text.

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.