To get rid of peaky answers, an entropy pruning method was applied by <cite>[5]</cite> where questions with normalized entropy below 0.5 were excluded. However this still leaves an uneven answer distribution that can be exploited. We also train the <cite>[5]</cite> text embedding model (an LSTM) with the optimization settings described in <cite>[5]</cite> for 200 epochs.