A cascade approach for complex-type classification

Lauren Romeo, Sara Mendes, Núria Bel


Abstract
The work detailed in this paper describes a 2-step cascade approach for the classification of complex-type nominals. We describe an experiment that demonstrates how a cascade approach performs when the task consists in distinguishing nominals from a given complex-type from any other noun in the language. Overall, our classifier successfully identifies very specific and not highly frequent lexical items such as complex-types with high accuracy, and distinguishes them from those instances that are not complex types by using lexico-syntactic patterns indicative of the semantic classes corresponding to each of the individual sense components of the complex type. Although there is still room for improvement with regard to the coverage of the classifiers developed, the cascade approach increases the precision of classification of the complex-type nouns that are covered in the experiment presented.
Anthology ID:
L14-1451
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:
4451–4458
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/546_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Lauren Romeo, Sara Mendes, and Núria Bel. 2014. A cascade approach for complex-type classification. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 4451–4458, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
A cascade approach for complex-type classification (Romeo et al., LREC 2014)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/546_Paper.pdf