Additionally, our pipelined neural network parser always outperforms its linear counterpart, an in-house reimplementation of the system of Zhang and Nivre (2011) , as well as the more recent and highly accurate parsers of Zhang and McDonald (2014) and Lei et al. (2014 again outperforms its linear counterpart<cite> (Bohnet and Nivre, 2012)</cite> , however, in some cases the addition of graph-based and cluster features<cite> (Bohnet and Nivre, 2012</cite> )+G+C can lead to even better results.