Using features that test arbitrary combinations of tag components would make feature selection much more difficult, as the number of possible patterns grows combinatorially with the number of components.
even in moderate size applications, the parameter set can be very large and contain dozen of millions of features, due to the introduction of sequential dependencies in the model.