We followed the experimental setup of <cite>Yang et al. (2015)</cite> in order to see if the performance of our duplicated features was comparable to their reported performance. Their best performance was 85.4% accuracy (Yang in Table 1 ) when they used Random Forest as a classifier and 10-fold cross validation (CV) as an evaluation method. Replicating this experiment setup, we were able to achieve 86.0% accuracy (Pun-to-Pun in Table 1 ), which is slightly better than the performance reported in their paper. The performance difference could be due to the difference in partitions in CV.