Note that, since we are using the contextsensitive lemmas for matching, one can think of that as matching words on the sense level.
aMIRaN was trained mostly with morpho-syntactic features and therefore achieves good performance in identifying the common lemma of a context-sensitive part-of-speech tag for every word.