Choosing which to use? A Study of Distributional Models for Nominal Lexical Semantic Classification

  • Authors
  • Romeo, Lauren; Lebani, Gianluca E.; Bel Rafecas, Núria; Lenci, Alessandro
  • UPF authors
  • BEL RAFECAS, NÚRIA;
  • Authors of the book
  • Calzolari, N.; Choukri, K.; Declerck, T.; Loftsson, H.; Maegaard, B.; Mariani, J.; Moreno, A.; Odijk, J.; Piperidis, S. (eds.)
  • Book title
  • Proceedings of the Ninth International Conference on Language Resources and Evaluation
  • Publisher
  • European Language Resources Association
  • Publication year
  • 2014
  • Pages
  • 4366-4373
  • ISBN
  • 978-2-9517408-8-4
  • 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.
  • Complete citation
  • Romeo, Lauren; Lebani, Gianluca E.; Bel Rafecas, Núria; Lenci, Alessandro. 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. (eds.). Proceedings of the Ninth International Conference on Language Resources and Evaluation. 1 ed. Reykjavik: European Language Resources Association; 2014. p. 4366-4373.