Second, by using two linear-chain CRFs to label a sequence of discourse constituents, we can incorporate contextual information in a more natural way, compared to using traditional discriminative classifiers, such as SVMs.
in the Viterbi decoding of the first CRF, we include additional constraints elicited from common sense, to make more effective local decisions.