However, except for the two extreme data points (0-10 and 51-60) there is also a slight tendency for Malt MST to improve more for longer sentences (relative to its base model) and for MST Malt to improve more for short sentences (relative to its base model).
whereas most of the improvement for the guided parsers seems to come from a higher accuracy in predicting arcs in general, there is also some evidence that the feature-based integration allows one parser to exploit the strength of the other.