Unlike Wulczyn et al., we tuned the hyper-parameters by evaluating (computing AUC and Spearman, Section 4) on a random 2% of held-out comments of W-ATT-TRAIN or G-TRAIN-S, instead of the development subsets, to be able to obtain more realistic results from the development sets while developing the methods.