Abstract: Systems and methods for improved Spoken Language Understanding (“SLU”) are provided. The methods may comprise receiving an utterance from a user, contextualizing a plurality of words in the utterance, providing the contextualized words to the slot detector to determine the probability of a word forming the beginning or end of a slot to determine slots and nested slots, an intent classifier to determine the probability of a word conveying a user intent, and a slot classifier that applies specific labels to each slot and nest slot. The SLU method may employ a model and jointly trains the model for each task (determining beginning and end of slots, intents, and slot classifications) using a combined loss function.

Abstract: Systems and methods for improved Spoken Language Understanding (“SLU”) are provided. The methods may comprise receiving an utterance from a user, contextualizing a plurality of words in the utterance, providing the contextualized words to the slot detector to determine the probability of a word forming the beginning or end of a slot to determine slots and nested slots, an intent classifier to determine the probability of a word conveying a user intent, and a slot classifier that applies specific labels to each slot and nest slot. The SLU method may employ a model and jointly trains the model for each task (determining beginning and end of slots, intents, and slot classifications) using a combined loss function.