Entailment above the word level in distributional semantics 论文

2012Institutional Research Information System (Università degli Studi di Trento)引用 226
Natural Language Processing TechniquesTopic ModelingLanguage and cultural evolution

摘要

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. 1