Abstract:
An example 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.
Abstract:
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.
Abstract:
In response to occurrence of at least one event, an application is executed to transmit and receive at least one of text data or voice data with external device using the communication module. In response to receiving text data or voice data from the external device through the communication module, a response is obtained to the text data or the voice data based on a characteristic of a user utterance stored in memory. A determination is made whether a confirmation of a user is necessary for a response based on information included in at least one of the the text data or the voice data, information included in the response, or information regarding an utterance history of the user stored in the memory. Based on a determination that the user's confirmation is necessary, a notification is provided including an object to approve content of the received text data or voice data. The determination that a confirmation is necessary may include using a rule-based or AI algorithm such as a machine learning, a neural network, or a deep learning algorithm.
Abstract:
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 abutterance 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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
A method of controlling on/off of a core based on a used amount of an operating core and the number of tasks in an electronic device having a multi-core, and an apparatus thereof, includes confirming a load of an operating core and the number of executable tasks at a predetermined period, determining whether the load of the operating core and the number of executable tasks meet a defined on/off condition of the multi-core, and controlling on/off of the multi-core when the load of the operating core and the number of executable tasks meet the defined on/off condition of the multi-core.
Abstract:
Disclosed are an anti-frost hydrogel coating composition including an ionic monomer, a method of forming an anti-frost hydrogel coating film on a substrate, and a heat exchanger including the anti-frost hydrogel coating film, the anti-frost hydrogel coating composition can include: an ionic monomer; a crosslinker including two or more acrylic groups; a polymerization initiator; and a solvent, and the ionic monomer can include at least one ionic monomer from among a zwitterionic monomer, a cationic monomer, and an anionic monomer.