Moreover, training hierarchical ME models requires even more memory than training simple ME models, proportional to the number of nodes in the hierarchy.
it should be possible to alleviate this problem by profiting from the hierarchical nature of n-gram features, as proposed in (Wu and Khudanpur, 2002).