Unlike the prior work which additionally requires traditional sparse features to achieve state-of-the-art performance, our extention alone delivers the same level of accuracy, while being substantially faster.
the labeling model can be applied either as a refinement (re-labeling) step on top of existing parsers with negligible cost of computation, or as a part of a decoupled procedure to simplify and speed up the dependency parsing decoding.