Discovering Fuzzy Synsets from the Redundancy in Different Lexical-Semantic Resources

Hugo Gonçalo Oliveira; Fábio Santos

Discovering Fuzzy Synsets from the Redundancy in Different Lexical-Semantic Resources

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Abstract

Although represented as such in wordnets, word senses are not discrete. To handle word senses as fuzzy objects, we exploit the graph structure of synonymy pairs acquired from different sources to discover synsets where words have different membership degrees that reflect confidence. Following this approach, a wide-coverage fuzzy thesaurus was discovered from a synonymy network compiled from seven Portuguese lexical-semantic resources. Based on a crowdsourcing evaluation, we can say that the quality of the obtained synsets is far from perfect but, as expected in a confidence measure, it increases significantly for higher cut-points on the membership and, at a certain point, reaches 100% correction rate.

Anthology ID:: L16-1687
Volume:: Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:: May
Year:: 2016
Address:: Portorož, Slovenia
Editors:: Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:: LREC
SIG:
Publisher:: European Language Resources Association (ELRA)
Note:
Pages:: 4333–4340
Language:
URL:: https://aclanthology.org/L16-1687/
DOI:
Bibkey:
Cite (ACL):: Hugo Gonçalo Oliveira and Fábio Santos. 2016. Discovering Fuzzy Synsets from the Redundancy in Different Lexical-Semantic Resources. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 4333–4340, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):: Discovering Fuzzy Synsets from the Redundancy in Different Lexical-Semantic Resources (Oliveira & Santos, LREC 2016)
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PDF:: https://aclanthology.org/L16-1687.pdf

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@inproceedings{oliveira-santos-2016-discovering,
    title = "Discovering Fuzzy Synsets from the Redundancy in Different Lexical-Semantic Resources",
    author = "Oliveira, Hugo Gon{\c{c}}alo  and
      Santos, F{\'a}bio",
    editor = "Calzolari, Nicoletta  and
      Choukri, Khalid  and
      Declerck, Thierry  and
      Goggi, Sara  and
      Grobelnik, Marko  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Mazo, Helene  and
      Moreno, Asuncion  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
    month = may,
    year = "2016",
    address = "Portoro{\v{z}}, Slovenia",
    publisher = "European Language Resources Association (ELRA)",
    url = "https://aclanthology.org/L16-1687/",
    pages = "4333--4340",
    abstract = "Although represented as such in wordnets, word senses are not discrete. To handle word senses as fuzzy objects, we exploit the graph structure of synonymy pairs acquired from different sources to discover synsets where words have different membership degrees that reflect confidence. Following this approach, a wide-coverage fuzzy thesaurus was discovered from a synonymy network compiled from seven Portuguese lexical-semantic resources. Based on a crowdsourcing evaluation, we can say that the quality of the obtained synsets is far from perfect but, as expected in a confidence measure, it increases significantly for higher cut-points on the membership and, at a certain point, reaches 100{\%} correction rate."
}

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%0 Conference Proceedings
%T Discovering Fuzzy Synsets from the Redundancy in Different Lexical-Semantic Resources
%A Oliveira, Hugo Gonçalo
%A Santos, Fábio
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 May
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F oliveira-santos-2016-discovering
%X Although represented as such in wordnets, word senses are not discrete. To handle word senses as fuzzy objects, we exploit the graph structure of synonymy pairs acquired from different sources to discover synsets where words have different membership degrees that reflect confidence. Following this approach, a wide-coverage fuzzy thesaurus was discovered from a synonymy network compiled from seven Portuguese lexical-semantic resources. Based on a crowdsourcing evaluation, we can say that the quality of the obtained synsets is far from perfect but, as expected in a confidence measure, it increases significantly for higher cut-points on the membership and, at a certain point, reaches 100% correction rate.
%U https://aclanthology.org/L16-1687/
%P 4333-4340

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Markdown (Informal)

[Discovering Fuzzy Synsets from the Redundancy in Different Lexical-Semantic Resources](https://aclanthology.org/L16-1687/) (Oliveira & Santos, LREC 2016)

Discovering Fuzzy Synsets from the Redundancy in Different Lexical-Semantic Resources (Oliveira & Santos, LREC 2016)

ACL

Hugo Gonçalo Oliveira and Fábio Santos. 2016. Discovering Fuzzy Synsets from the Redundancy in Different Lexical-Semantic Resources. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 4333–4340, Portorož, Slovenia. European Language Resources Association (ELRA).