2010;Nenkova et al.
besides these kernel-specific settings, we configured the other hyperparameters as follows: -We used the soft margin method to allow training errors when constructing the decision boundary, and vary the associated cost parameter C between 2 −6 and 2 12 , stepping by a factor of 4 (default = 1).