There are many conceivable ways of combining the two parsers, including more or less complex ensemble systems and voting schemes, which only perform the integration at parsing time.
the experimental results presented so far show that feature-based integration is a viable approach for improving the accuracy of both graph-based and transition-based models for dependency parsing, but they say very little about how the integration benefits the two models and what aspects of the parsing process are improved as a result.