While that parser uses heavily refined PCFGs with rule probabilities defined at the refined symbol level, we interact with its posterior distribution via posterior marginal probabilities over unrefined symbols.
to each unrefined anchored production i A j → i B k C j , we associate a single feature whose value is the marginal quantity  We begin with the same set of alignment features as Haghighi et al.