We design the turn-level attention to score the dialogue turns explicitly, so the more salient turns will obtain higher scores, which is similar to (Hsu et al., 2018).
instead of calculating the sentence-level attention using a separate recurrent component, we directly obtain the turn representations H turn by collecting hidden states from H with the turn-level segment position indices where m is the turn number of the dialogue content.