By using several heuristics to define an effective portion of constituent trees, and training the classifiers using ACE relation sub-types (rather than on types), they achieved an impressive 75.8% F-measure.
as pointed out in (Nguyen et al., 2009), such heuristics are tuned on the target relation extraction task and might not be appropriate to compare against the automatic learning approaches.