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Campo DC | Valor | idioma |
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dc.contributor.author | Sánchez-Gómez, Jesús Manuel | - |
dc.contributor.author | Vega Rodríguez, Miguel Ángel | - |
dc.contributor.author | Pérez Sánchez, Carlos Javier | - |
dc.date.accessioned | 2024-05-08T17:12:50Z | - |
dc.date.available | 2024-05-08T17:12:50Z | - |
dc.date.issued | 2020 | - |
dc.identifier.issn | 1568-4946 | - |
dc.identifier.uri | http://hdl.handle.net/10662/21200 | - |
dc.description | Versión aceptada de artículo publicado en la revista "Applied Soft Computing Journal", Volume 9, Junio 2020. Número de artículo 106231. DOI: 10.1016/j.asoc.2020.106231 | es_ES |
dc.description.abstract | Currently, due to the over ow of textual information on the Internet, automatic text summarization methods are becoming increasingly important in many elds of knowledge. Extractive multi-document text summarization approaches are intended to automatically generate summaries from a document collection, covering the main content and avoiding redundant information. These approaches can be addressed through optimization techniques. In the scienti c literature, most of them are single-objective optimization approaches, but recently multi-objective approaches have been developed and they have improved the single-objective existing results. In addition, in the eld of multi-objective optimization, decomposition-based approaches are being successfully applied increasingly. For this reason, a Multi-Objective Arti cial Bee Colony algorithm based on Decomposition (MOABC/D) is proposed to solve the extractive multi-document text summarization problem. An asynchronous parallel design of MOABC/D algorithm has been implemented in order to take advantage of multi-core architectures. Experiments have been carried out with Document Understanding Conferences (DUC) datasets, and the results have been evaluated with Recall-Oriented Understudy for Gisting Evaluation (ROUGE) metrics. The obtained results have improved the existing ones in the scienti c literature for ROUGE-1, ROUGE-2, and ROUGE-L scores, also reporting a very good speedup. | es_ES |
dc.description.sponsorship | This research has been supported by Agencia Estatal de Investigación - Spain (Projects TIN2016-76259-P and MTM2017-86875-C3-2-R), Junta de Extremadura - Spain (Projects GR18090 and GR18108), and European Union (European Regional Development Fund). Jesus M. Sanchez-Gomez is supported by a doctoral fellowship granted by Junta de Extremadura (Contract PD18057) and European Union (European Social Fund). | es_ES |
dc.format.extent | 40 p. | es_ES |
dc.format.mimetype | application/pdf | en |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | - |
dc.relation.ispartofseries | 106231; | - |
dc.rights | Attribution-NonCommercial-NoDerivs 4.0 International | * |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Multi-Document Summarization | es_ES |
dc.subject | Multi-Objective Optimization | es_ES |
dc.subject | Artificial Bee Colony | es_ES |
dc.subject | Decomposition-based | es_ES |
dc.subject | Resumen de varios documentos | es_ES |
dc.subject | Optimización multiobjetivo | es_ES |
dc.subject | Colonia de abejas artificiales | es_ES |
dc.subject | Basado en descomposición | es_ES |
dc.title | A Decomposition-based Multi-Objective Optimization Approach for Extractive Multi-Document Text Summarization | es_ES |
dc.type | article | es_ES |
dc.description.version | peerReviewed | es_ES |
europeana.type | TEXT | en_US |
dc.rights.accessRights | openAccess | es_ES |
dc.subject.unesco | 12 Matemáticas | es_ES |
europeana.dataProvider | Universidad de Extremadura. España | es_ES |
dc.identifier.bibliographicCitation | Sanchez-Gomez, Jesus M. (57194868772); Vega-Rodríguez, Miguel A. (6507313197); Pérez, Carlos J. (8289644900) A decomposition-based multi-objective optimization approach for extractive multi-document text summarization (2020) | es_ES |
dc.type.version | acceptedVersion | es_ES |
dc.contributor.affiliation | Universidad de Extremadura. Departamento de Matemáticas | es_ES |
dc.contributor.affiliation | Universidad de Extremadura. Departamento de Tecnología de los Computadores y de las Comunicaciones | es_ES |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/abs/pii/S156849462030171X | es_ES |
dc.identifier.doi | 10.1016/j.asoc.2020.106231 | - |
dc.identifier.publicationtitle | Applied Soft Computing | - |
dc.identifier.publicationfirstpage | 1 | es_ES |
dc.identifier.publicationlastpage | 40 | es_ES |
dc.identifier.publicationvolume | 91 | - |
dc.identifier.orcid | 0000-0002-6415-7467 | es_ES |
dc.identifier.orcid | 0000-0002-3003-758X | es_ES |
dc.identifier.orcid | 0000-0001-6385-9080 | es_ES |
Colección: | DMATE - Artículos |
Archivos
Archivo | Descripción | Tamaño | Formato | |
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j_asoc_2020_106231.pdf | 672,7 kB | Adobe PDF | Descargar |
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