Non-Autoregressive Dialog State Tracking

Hung Le, Richard Socher, Steven C. H. Hoi

Abstract: We propose the first non-autoregressive neural model for Dialogue State Tracking (DST), achieving the SOTA accuracy (49.04%) on MultiWOZ2.1 benchmark, and reducing inference latency by an order of magnitude.