Abstract: An electronic device is provided and includes a processor and a memory operatively connected to the processor. The memory stores instructions that cause, when executed, the processor to acquire a first assistant result including data indicative of a first intent understood from an utterance of a first user, data indicative of an attribute of the utterance, first information provided to a terminal of the first user as a response of an artificial intelligence (AI) agent to the utterance, and a first parameter indicative of an attribute of the first information, to recognize the utterance as an information request utterance, based on the first intent and the attribute, and to track second information to be provided to the first user terminal as update information for the first information, based on the utterance being recognized as the information request utterance and the first parameter being identified as a specified type.

Abstract: An electronic device is provided and includes a processor and a memory operatively connected to the processor. The memory stores instructions that cause, when executed, the processor to acquire a first assistant result including data indicative of a first intent understood from an utterance of a first user, data indicative of an attribute of the utterance, first information provided to a terminal of the first user as a response of an artificial intelligence (AI) agent to the utterance, and a first parameter indicative of an attribute of the first information, to recognize the utterance as an information request utterance, based on the first intent and the attribute, and to track second information to be provided to the first user terminal as update information for the first information, based on the utterance being recognized as the information request utterance and the first parameter being identified as a specified type.

Abstract: According to an embodiment, an electronic device includes a user interface, a memory, and a processor. The memory is configured to store a main database including at least one input data or an auxiliary database including at least one category including pieces of response data. The processor is configured to receive a user input, using the user interface, and extract first information from the user input. The processor is also configured to identify whether a portion of the input data of the main database matches the first information. The processor is further configured to identify a category of the user input in response to identifying that the input data of the main database does not match the first information. Additionally, the processor is configured to identify the auxiliary database corresponding to the category, and provide first response data based on an event that the auxiliary database is identified.

Abstract: According to an embodiment, an electronic device includes a user interface, a memory, and a processor. The memory is configured to store a main database including at least one input data or an auxiliary database including at least one category including pieces of response data. The processor is configured to receive a user input, using the user interface, and extract first information from the user input. The processor is also configured to identify whether a portion of the input data of the main database matches the first information. The processor is further configured to identify a category of the user input in response to identifying that the input data of the main database does not match the first information. Additionally, the processor is configured to identify the auxiliary database corresponding to the category, and provide first response data based on an event that the auxiliary database is identified.

Abstract: According to one aspect of the present disclosure at least one memory stores an automatic speech recognition (ASR) module, a natural language understanding (NLU) module, and instructions that, when executed, cause at least one processor to receive a wake-up utterance through the microphone, receive a first user utterance through the microphone after the wake-up utterance, generate a first response based on processing the first user utterance with the NLU module, receive a second user utterance through the microphone during a time interval selected after receiving the wake-up utterance, extract a text for the second user utterance, with the ASR module, and generate a second response with the NLU module, based on whether a selected one or more words are included in text for the second user utterance.