Paper: Entailment above the word level in distributional semantics

ACL ID E12-1004
Title Entailment above the word level in distributional semantics
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2012
Authors

We introduce two ways to detect entail- ment using distributional semantic repre- sentations of phrases. Our first experiment shows that the entailment relation between adjective-noun constructions and their head nouns (big cat |= cat), once represented as semantic vector pairs, generalizes to lexical entailment among nouns (dog |= animal). Our second experiment shows that a classi- fier fed semantic vector pairs can similarly generalize the entailment relation among quantifier phrases (many dogs|=some dogs) to entailment involving unseen quantifiers (all cats|=several cats). Moreover, nominal and quantifier phrase entailment appears to be cued by different distributional corre- lates, as predicted by the type-based view of entailment in formal semantics.