Identifying hypernyms in distributional semantic spaces
Alessandro Lenci, Giulia Benotto
Abstract
In this paper we apply existing directional similarity measures to identify hypernyms with a state-of-the-art distributional semantic model. We also propose a new directional measure that achieves the best performance in hypernym identification.
Topics & Concepts
Computer scienceNatural Language Processing TechniquesTopic ModelingMusic and Audio Processing