A cascade approach for complex-type classification

• Main Authors: Romeo, Lauren, Mendes, Sara, Bel Rafecas, Núria
• Format: Conference Object
• Language: English
• Published: ACL (Association for Computational Linguistics)
• Subjects: Complex-types; Nominal classification; Lexical-semantic classes; Iceland
• Online Access: http://hdl.handle.net/10230/36701

Comunicació presentada a: Ninth International Conference on Language Resources and Evaluation, celebrada a Reykjavik, Iceland, del 26 al 31 de maig de 2014. 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. 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.