Previous work <cite>(Yang et al., 2015</cite>; Jurczyk et al., 2016) attack the problem via a pipeline approach: First solve P 1 as a ranking task and then solve P 2 by choosing an optimal threshold upon the previous step's highest ranking score. We propose Group-level Answer Triggering (GAT), an end-to-end framework for jointly optimizing P 1 and P 2 .