The results corroborate that, instead of only considering literal term matching for determining the similarity degree between a pair of sentence and document, incorporating concept (semantic) matching into the similarity measure leads to better performance.
the proposed D-EV model is the most robust among all the methods compared in the paper, which supports the important notion of the proposed "learning to distilling" framework.