Choosing which to use? A study of distributional models for nominal lexical semantic classification

Romeo, Lauren; Lebani, Gianluca E.; Bel Rafecas, Núria; Lenci, Alessandro

Choosing which to use? A study of distributional models for nominal lexical semantic classification

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Citation

Romeo L, Lebaniy GE, Bel N, Lenci A. Choosing which to use? A study of distributional models for nominal lexical semantic classification. In: Calzolari N, Choukri K, Declerck T, Loftsson H, Maegaard B, Mariani J, Moreno A, Odijk J, Piperidis S, editors. Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC-2014); 2014 May 26-31; Reykjavik, Iceland. Paris: European Language Resources Association; 2014. p. 4366-73.

Abstract

This paper empirically evaluates the performances of different state-of-the-art distributional models in a nominal lexical semantic classification task. We consider models that exploit various types of distributional features, which thereby provide different representations of nominal behavior in context. The experiments presented in this work demonstrate the advantages and disadvantages of each model considered. This analysis also considers a combined strategy that we found to be capable of leveraging the bottlenecks of each model, especially when large robust data is not available.

Description

Comunicació presentada a: Ninth International Conference on Language Resources and Evaluation, celebrada a Reykjavik, Iceland, del 26 al 31 de maig de 2014.