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dc.contributor.author | González-Barba, José Ángel | es_ES |
dc.contributor.author | Segarra Soriano, Encarnación | es_ES |
dc.contributor.author | García-Granada, Fernando | es_ES |
dc.contributor.author | Sanchís Arnal, Emilio | es_ES |
dc.contributor.author | Hurtado Oliver, Lluis Felip | es_ES |
dc.date.accessioned | 2021-07-27T03:38:11Z | |
dc.date.available | 2021-07-27T03:38:11Z | |
dc.date.issued | 2020 | es_ES |
dc.identifier.issn | 1064-1246 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/170290 | |
dc.description.abstract | [EN] In this paper, we present an extractive approach to document summarization, the Siamese Hierarchical Transformer Encoders system, that is based on the use of siamese neural networks and the transformer encoders which are extended in a hierarchical way. The system, trained for binary classification, is able to assign attention scores to each sentence in the document. These scores are used to select the most relevant sentences to build the summary. The main novelty of our proposal is the use of self-attention mechanisms at sentence level for document summarization, instead of using only attentions at word level. The experimentation carried out using the CNN/DailyMail summarization corpus shows promising results in-line with the state-of-the-art. | es_ES |
dc.description.sponsorship | This work has been partially supported by the Spanish MINECO and FEDER founds under project AMIC (TIN2017-85854-C4-2-R). Work of Jose Angel Gonzalez is also financed by Universitat Politecnica de Valencia under grant PAID-01-17. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | IOS Press | es_ES |
dc.relation.ispartof | Journal of Intelligent & Fuzzy Systems | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Siamese neural networks | es_ES |
dc.subject | Self attention | es_ES |
dc.subject | Extractive summarization | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.title | Extractive summarization using siamese hierarchical transformer encoders | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3233/JIFS-179901 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/UPV//PAID-01-17/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-85854-C4-2-R/ES/AMIC-UPV: ANALISIS AFECTIVO DE INFORMACION MULTIMEDIA CON COMUNICACION INCLUSIVA Y NATURAL/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació | es_ES |
dc.description.bibliographicCitation | González-Barba, JÁ.; Segarra Soriano, E.; García-Granada, F.; Sanchís Arnal, E.; Hurtado Oliver, LF. (2020). Extractive summarization using siamese hierarchical transformer encoders. Journal of Intelligent & Fuzzy Systems. 39(2):2409-2419. https://doi.org/10.3233/JIFS-179901 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3233/JIFS-179901 | es_ES |
dc.description.upvformatpinicio | 2409 | es_ES |
dc.description.upvformatpfin | 2419 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 39 | es_ES |
dc.description.issue | 2 | es_ES |
dc.relation.pasarela | S\418569 | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |
dc.contributor.funder | Universitat Politècnica de València | es_ES |
dc.description.references | Begum N. , Fattah M. and Ren F. , Automatic text summarization using support vector machine, 5 (2009), 1987–1996. | es_ES |
dc.description.references | González, J.-Á., Segarra, E., García-Granada, F., Sanchis, E., & Hurtado, L.-F. (2019). Siamese hierarchical attention networks for extractive summarization. Journal of Intelligent & Fuzzy Systems, 36(5), 4599-4607. doi:10.3233/jifs-179011 | es_ES |
dc.description.references | Lloret, E., & Palomar, M. (2011). Text summarisation in progress: a literature review. Artificial Intelligence Review, 37(1), 1-41. doi:10.1007/s10462-011-9216-z | es_ES |
dc.description.references | Louis, A., & Nenkova, A. (2013). Automatically Assessing Machine Summary Content Without a Gold Standard. Computational Linguistics, 39(2), 267-300. doi:10.1162/coli_a_00123 | es_ES |
dc.description.references | Tur G. and De Mori R. , Spoken language understanding: Systems for extracting semantic information from speech. John Wiley & Sons, 2011. | es_ES |