Their approach involves randomforest classification with best-link clustering and propagation of attributes between event mentions, and is grounded on a manifold of external feature sources, i.e., it uses a "rich set of 105 semantic features".
their approach is strongly tied to domains where these semantic features are available and is potentially hard to port to other text kinds.