A Comparative Study of Classifier Combination Methods Applied to NLP Tasks

Enríquez de Salamanca Ros, Fernando; Troyano Jiménez, José Antonio; Cruz Mata, Fermín; Ortega Rodríguez, Francisco Javier

doi:10.1007/978-3-642-22327-3_33

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dc.creator	Enríquez de Salamanca Ros, Fernando	es
dc.creator	Troyano Jiménez, José Antonio	es
dc.creator	Cruz Mata, Fermín	es
dc.creator	Ortega Rodríguez, Francisco Javier	es
dc.date.accessioned	2020-07-08T14:47:02Z
dc.date.available	2020-07-08T14:47:02Z
dc.date.issued	2011
dc.identifier.citation	Enríquez de Salamanca Ros, F., Troyano Jiménez, J.A., Cruz Mata, F. y Ortega Rodríguez, F.J. (2011). A Comparative Study of Classifier Combination Methods Applied to NLP Tasks. En NLDB 2011: 16th International Conference on Applications of Natural Language to Information Systems (258-261), Alicante, España: Springer.
dc.identifier.isbn	978-3-642-22326-6	es
dc.identifier.issn	0302-9743	es
dc.identifier.uri	https://hdl.handle.net/11441/99066
dc.description.abstract	There are many classification tools that can be used for various NLP tasks, although none of them can be considered the best of all since each one has a particular list of virtues and defects. The combination methods can serve both to maximize the strengths of the base classifiers and to reduce errors caused by their defects improving the results in terms of accuracy. Here is a comparative study on the most relevant methods that shows that combination seems to be a robust and reliable way of improving our results.	es
dc.format	application/pdf	es
dc.format.extent	4	es
dc.language.iso	eng	es
dc.publisher	Springer	es
dc.relation.ispartof	NLDB 2011: 16th International Conference on Applications of Natural Language to Information Systems (2011), p 258-261
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Classifier combination	es
dc.subject	Machine learning	es
dc.title	A Comparative Study of Classifier Combination Methods Applied to NLP Tasks	es
dc.type	info:eu-repo/semantics/conferenceObject	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.type.version	info:eu-repo/semantics/submittedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos	es
dc.relation.publisherversion	https://link.springer.com/chapter/10.1007/978-3-642-22327-3_33	es
dc.identifier.doi	10.1007/978-3-642-22327-3_33	es
dc.publication.initialPage	258	es
dc.publication.endPage	261	es
dc.eventtitle	NLDB 2011: 16th International Conference on Applications of Natural Language to Information Systems	es
dc.eventinstitution	Alicante, España	es
dc.relation.publicationplace	Berlin	es
dc.identifier.sisius	20018607	es

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