A system and method of improving the Natural Language Understanding of a voice assistant. A first utterance is converted to text and parsed by a Bi-LSTM neural network to create a vector representing the utterance. A subsequent utterance is similarly converted into a representative vector and the two vector are combined to predict the true intent of a user's subsequent utterance in context with the initial utterance.