We, therefore, propose a novel framework for DST that identifies relevant historical context by referring to the past utterances where a particular slot-value changes and uses that together with weighted system utterance to identify the relevant context.
we use the current user utterance and the most recent system utterance to determine the relevance of a system utterance.