Corpus-harvested semantic vectors representing adjective-noun constructions and their heads encode a relation of entailment that can be exploited to train a classifier to detect lexical entailment.
a relation of feature inclusion between the narrower antecedent and broader consequent terms captures both AN |= N and N 1 |= N 2 entailment.