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1
Using unmarked contexts in nominal lexical semantic classification
Romeo, Lauren; Mendes, Sara; Bel, Núria. - : Dublin City University and Association for Computational Linguistics, 2018
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2
A cascade approach to complex-type classification
Bel, Núria; Romeo, Lauren; Mendes, Sara. - : European Language Resources Association, 2018
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3
The Structure of the lexicon in the task of the automatic acquisition of lexical information
Romeo, Lauren Michele. - : Universitat Pompeu Fabra, 2015
In: TDX (Tesis Doctorals en Xarxa) (2015)
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4
Automatic lexical semantic classification of nouns ...
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5
Using qualia information to identify lexical semantic classes in an unsupervised clustering task ...
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6
Choosing which to use? A study of distributional models for nominal lexical semantic classification
Romeo, Lauren; Lebani, Gianluca E.; Bel Rafecas, Núria. - : ACL (Association for Computational Linguistics)
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7
Towards the automatic classification of complex-type nominals
Romeo, Lauren; Mendes, Sara; Bel Rafecas, Núria. - : ACL (Association for Computational Linguistics)
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8
A cascade approach for complex-type classification
Romeo, Lauren; Mendes, Sara; Bel Rafecas, Núria. - : ACL (Association for Computational Linguistics)
Abstract: 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.
Keyword: Complex-types; Lexical-semantic classes; Nominal classification
URL: http://hdl.handle.net/10230/36701
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9
Automatic Lexical Semantic Classification of Nouns
Padró, Muntsa; Bel Rafecas, Núria; Romeo, Lauren. - : ELRA (European Language Resources Association)
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10
Using qualia information to identify lexical semantic classes in an unsupervised clustering task
Bel Rafecas, Núria; Romeo, Lauren; Mendes, Sara. - : ACL (Association for Computational Linguistics)
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11
Structure of lexicon in the automatic acquisition of lexical information [research data]
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12
Using unmarked contexts in nominal lexical semantic classification
Romeo, Lauren; Mendes, Sara; Bel Rafecas, Núria. - : Association for Computational Linguistics (ACL)
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13
Class-based word sense induction for dot-type nominals
Romeo, Lauren; Bel Rafecas, Núria; Martínez Alonso, Héctor. - : ACL (Association for Computational Linguistics)
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