Our approach is most similar to the current state-of-the-art model by <cite>Mullenbach et al. (2018)</cite> . Our model has notable departures from theirs, however: firstly, we use multi-view CNN channels with max pooling across the channels, which in itself leads to improvements over their model (even before attention regularization).