Feature-based discriminative supervised models have achieved much progress in dependency parsing (Nivre, 2004;Yamada and Matsumoto, 2003;McDonald et al., 2005), which typically use millions of discrete binary features generated from a limited size training data.
the ability of these models is restricted by the design of features.