ME models are log-linear models in which feature functions map specific instances of syntactic features and classes to binary values (e.g., if a training element has head="in" and role=CAUSE, then, for that element, the feature function f(CAUSE, "in") will equal 1).
mE is not here being used as another way to find weights for an interpolated model.