Dialogue condition monitoring (DST) aims to forecast the current dialogue state provided the dialogue historical past. Existing techniques typically exploit the utterances of all dialogue turns to assign worth for each slot. This may lead to suboptimal success due to the information introduced from irrelevant utterances within the dialogue backgrou