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Using unmarked contexts in nominal lexical semantic classification
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LexTec - a rich language resource for technical domains in Portuguese
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Using qualia information to identify lexical semantic classes in an unsupervised clustering task ...
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Towards the automatic classification of complex-type nominals
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Abstract:
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.
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Keyword:
Complex-type nominals; Generative Lexicon; Language Resources Automatic Acquisition; Machine Learning
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URL: http://hdl.handle.net/10230/36737
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Using qualia information to identify lexical semantic classes in an unsupervised clustering task
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Using unmarked contexts in nominal lexical semantic classification
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Reading between the lines: overcoming data sparsity for accurate classification of lexical relationships
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