Multi-domain Dialogue State Tracking as Dynamic Knowledge Graph Enhanced Question Answering

Understand

Multi-domain dialogue state tracking (DST) is a critical component for conversational AI systems.

• The domain ontology (i.e., specification of domains, slots, and values) of a conversational AI system is generally incomplete, making the capability for DST models to generalize to new slots, values, and domains during inference imperative.
• In this paper, we propose to model multi-domain DST as a question answering problem, referred to as Dialogue State Tracking via Question Answering (DSTQA).
• Within DSTQA, each turn generates a question asking for the value of a (domain, slot) pair, thus making it naturally extensible to unseen domains, slots, and values.