6 When the models are trained and tested on Dis-50 set, our models outperform the previous studies in terms of micro and macro F1, P@5, and PR AUC. This is due to the architecture differences, such as the use of multi-view CNN and 6 The authors of CAML<cite> (Mullenbach et al., 2018)</cite> reported micro F1-Proc=60.9%, micro F1-Diag=52.4%, micro F1=53.9%, P@8=70.9% and P@15=56.1% on the Dis set.