Also, pragmatic inference is a necessary step toward automatic narrative understanding and generation (Tomai and Forbus, 2010;Ding and Riloff, 2016;Ding et al., 2017).
we randomly divided our set of 24,716 unique events (57,094 annotations) into a training/dev./test set using an 80/10/10% split.