This suggests that the improvement is not a simple function of the raw accuracy of the guide model but depends on the fact that labeled dependency decisions interact in inference algorithms for both graph-based and transition-based parsing systems.
if a parser can improve its accuracy on one class of dependencies (for example, longer ones), then we can expect to see improvements on all types of dependencies-as we do.