In this paper, we apply essentially the same techniques to data-driven dependency parsing, specifically targeting the analysis of coordination and verb groups, two very common constructions that pose special problems for dependency-based approaches.
nivre and nilsson (2005) improve parsing accuracy for MaltParser by projectivizing training data and applying an inverse transformation to the output of the parser, while Hall and novák (2005) apply post-processing to the output of Charniak's parser (Charniak, 2000).