Abstract: A method includes receiving, by at least one processing device of an electronic device, an utterance provided by a user. The method also includes delexicalizing at least a portion of the utterance using a named entity database stored on the electronic device to create an encoded utterance. The method further includes transmitting the encoded utterance to a server on which a language model is stored. The method also includes receiving an intent and one or more slots associated with the utterance, where at least one slot of the one or more slots is a representative tag. The method further includes identifying a named entity corresponding to the at least one slot based on the named entity database. In addition, the method includes performing an action based on the intent and the one or more slots.

Abstract: In an embodiment of the present disclosure, a method of simultaneously identifying intent and slots in a voice assistant command includes tokenizing, into a plurality of tokens, a current utterance of a user of a device comprising the voice assistant command, prepending the plurality of tokens with a previous utterance and a separation token, obtaining, using a transformer-based machine learning model, one or more predictions for the voice assistant command from the prepended plurality of tokens, aligning, according to one or more constraints, the at least one of the flag prediction, the goal prediction, and the sub-goal prediction, providing, to the device, the identified intent and the identified slots based on the intent prediction and the aligned at least one of the flag prediction, the goal prediction, and the sub-goal prediction, causing the device to perform the voice assistant command according to the identified intent and the identified slots.