Since the dependency representation used in the evaluation corpus is based on the Stanford typed dependency scheme (de Marneffe et al., 2006), we opted for using the WSJ section of the PTB, converted to Stanford dependencies, as our primary source of training data.
it can be seen that MSTParser and Malt-Parser perform below C&C and Enju, but above the other parsers, and that MSTParser achieves the highest score on SbEm sentences and MaltParser on SbRC sentences.