MELODI : Semantic Similarity of Words and Compositional Phrases using Latent Vector Weighting
Tim Van de Cruys, Stergos Afantenos, Philippe Müller · 2013
In this paper we present our system for the SemEval 2013 Task 5a on semantic similarity of words and compositional phrases. Our system uses a dependency-based vector space model, in combination with a technique called latent vector weighting. The system computes the similarity between a particular noun instance and the head noun of a particular noun phrase, which was weighted according to the semantics of the modifier. The system is entirely unsupervised; one single parameter, the similarity threshold, was tuned using the training data. 1