Recent work has shown that the combination of base parsers at learning time, e.g., through stacking, yields considerable benefits (Nivre and McDonald, 2008;Attardi and Dell'Orletta, 2009).
it is unclear how these approaches compare against the simpler ensemble models, which combine parsers only at runtime.