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Dialogue condition monitoring (DST) aims to predict the current dialogue condition given the dialogue background. Present methods generally exploit the utterances of all dialogue turns to assign benefit for every slot. This could lead to suboptimal benefits resulting from the knowledge launched from irrelevant utterances inside the dialogue backgro