2019-03-05T09:37:05Z
2019-03-05T09:37:05Z
2013
Comunicació presentada a: 6th International Conference on Generative Approaches to the Lexicon, celebrada a Pisa, Itàlia, del 24 al 25 de setembre del 2013.
The work presented here depicts experiments toward the automatic classification of complex-type nominals using distributional information. We conducted two experiments: classifying complex-type nominals as members of multiple individual lexical classes, and building a dedicated classifier for complex-type nominals, distinguishing them from simple types. We discuss the promising results obtained, with a focus on asymmetries observed and on lines to be explored in the future.
This work was funded with the support of the SUR of the DEC of the Generalitat de Catalunya and the European Social Fund, by SKATER TIN2012-38584-C06-05 and by Fundação para a Ciência e a Tecnologia (FCT) post-doctoral fellowship SFRH/BPD/79900/2011.
Object of conference
Published version
English
Language Resources Automatic Acquisition; Machine Learning; Complex-type nominals; Generative Lexicon
ACL (Association for Computational Linguistics)
In: Saurí R, Calzolari N, Huang C-R, Lenci A, Monachini M, Pustejovsky J, editors. Proceedings of the 6th International Conference on Generative Approaches to the Lexicon; 2013 Sep 24-25; Pisa, Italy. Stroudsburg (USA): Association for Computational Linguistics (ACL); 2013. p. 21-28.
info:eu-repo/grantAgreement/ES/3PN/TIN2012-38584-C06-05
© ACL, Creative Commons Attribution 3.0 License
https://creativecommons.org/licenses/by-nc-sa/3.0/