One promising possibility to speed up the lexical acquisition process is to glean the semantics of words from a corpus by adopting the cooccurrence model of word meaning.
we find that discriminative and characteristic weighting procedures are able to identify different kinds of features useful for learning a classifier, both consistently enhancing the classification accuracy.