19 This approach has some advantages over the probabilistic parser, in that r it can process both left-to-right and right-to-left dependencies due to its parsing algorithm, r it assigns dependency labels simultaneously with dependencies and can use these as features in the history-based model, and r it does not necessarily require expert knowledge about the choice of linguistically relevant features to use in the representations because SVM training involves implicit feature selection.
we still exclude sentences with non-projective dependencies during training.