Paper on Zero Shot Intent Classication using LSTMs accepted for publication at INTERSPEECH 2019!

Our paper on Zero Shot Intern Classification using LSTMs has been accepted for publication at INTERSPEECH 2019. In this paper we propose an LSTM-based encoder that can be used to map user utterances to dialog intents. We show how the LSTM-based method outperforms a DSSM on this task, both for zero shot and few shot intent classification.

Kyle Williams
Senior Scientist

My research interests include information retrieval, machine learning, natural language processing, and conversational AI.