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

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

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

Lauren Romeo, Gianluca Lebani, Núria Bel, Alessandro Lenci

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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.

Anthology ID:: L14-1471
Volume:: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:: May
Year:: 2014
Address:: Reykjavik, Iceland
Editors:: Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:: LREC
SIG:
Publisher:: European Language Resources Association (ELRA)
Note:
Pages:: 4366–4373
Language:
URL:: http://www.lrec-conf.org/proceedings/lrec2014/pdf/583_Paper.pdf
DOI:
Bibkey:
Cite (ACL):: Lauren Romeo, Gianluca Lebani, Núria Bel, and Alessandro Lenci. 2014. Choosing which to use? A study of distributional models for nominal lexical semantic classification. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 4366–4373, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):: Choosing which to use? A study of distributional models for nominal lexical semantic classification (Romeo et al., LREC 2014)
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PDF:: http://www.lrec-conf.org/proceedings/lrec2014/pdf/583_Paper.pdf

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@inproceedings{romeo-etal-2014-choosing,
    title = "Choosing which to use? A study of distributional models for nominal lexical semantic classification",
    author = "Romeo, Lauren  and
      Lebani, Gianluca  and
      Bel, N{\'u}ria  and
      Lenci, Alessandro",
    editor = "Calzolari, Nicoletta  and
      Choukri, Khalid  and
      Declerck, Thierry  and
      Loftsson, Hrafn  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Moreno, Asuncion  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
    month = may,
    year = "2014",
    address = "Reykjavik, Iceland",
    publisher = "European Language Resources Association (ELRA)",
    url = "https://aclanthology.org/L14-1471/",
    pages = "4366--4373",
    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."
}

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%0 Conference Proceedings
%T Choosing which to use? A study of distributional models for nominal lexical semantic classification
%A Romeo, Lauren
%A Lebani, Gianluca
%A Bel, Núria
%A Lenci, Alessandro
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F romeo-etal-2014-choosing
%X 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.
%U https://aclanthology.org/L14-1471/
%P 4366-4373

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Markdown (Informal)

[Choosing which to use? A study of distributional models for nominal lexical semantic classification](https://aclanthology.org/L14-1471/) (Romeo et al., LREC 2014)

Choosing which to use? A study of distributional models for nominal lexical semantic classification (Romeo et al., LREC 2014)

ACL

Lauren Romeo, Gianluca Lebani, Núria Bel, and Alessandro Lenci. 2014. Choosing which to use? A study of distributional models for nominal lexical semantic classification. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 4366–4373, Reykjavik, Iceland. European Language Resources Association (ELRA).