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ELiRF-VRAIN at BioNLP Task 1B: Radiology Report Summarization

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ELiRF-VRAIN at BioNLP Task 1B: Radiology Report Summarization

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dc.contributor.author Ahuir-Esteve, Vicent es_ES
dc.contributor.author Segarra Soriano, Encarnación es_ES
dc.contributor.author Hurtado Oliver, Lluis Felip es_ES
dc.date.accessioned 2023-12-22T07:14:25Z
dc.date.available 2023-12-22T07:14:25Z
dc.date.issued 2023-07-13 es_ES
dc.identifier.isbn 978-1-959429-85-2 es_ES
dc.identifier.uri http://hdl.handle.net/10251/201066
dc.description Resuelta son urgencia por sexenio es_ES
dc.description.abstract [EN] This paper presents our system at the Radiology Report Summarization Shared Task-1B of the 22nd BioNLP Workshop 2023. Inspired by the work of the BioBART model, we continuously pre-trained a general domain BART model with biomedical data to adapt it to this specific domain. In the pre-training phase, several pre-training tasks are aggregated to inject linguistic knowledge and increase the abstractivity of the generated summaries. We present the results of our models, and also, we have carried out an additional study on the lengths of the generated summaries, which has provided us with interesting information. es_ES
dc.description.sponsorship This work is partially supported by MCIN/AEI/10.13039/501100011033, by the "European Union and 'NextGenerationEU/MRR', and by 'ERDF A way of making Europe' under grants PDC2021-120846-C44 and PID2021-126061OB-C41. It is also partially supported by the Generalitat Valenciana under project CIPROM/2021/023, and by the Spanish Ministerio de Universidades under the grant FPU21/05288 for university teacher training. es_ES
dc.language Inglés es_ES
dc.publisher Association for Computational Linguistics es_ES
dc.relation.ispartof Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title ELiRF-VRAIN at BioNLP Task 1B: Radiology Report Summarization es_ES
dc.type Comunicación en congreso es_ES
dc.type Capítulo de libro es_ES
dc.identifier.doi 10.18653/v1/2023.bionlp-1.52 es_ES
dc.relation.projectID info:eu-repo/grantAgreement///PDC2021-120846-C44//DESARROLLO DE UN PROTOTIPO PREOMPETITIVO PARA EL ANÁLISIS AFECTIVO DE INFORMACIÓN MULTIMEDIA- UPV/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI//PID2021-126061OB-C41//DESCUBRIENDO EL SIGNIFICADO Y LA INTENCIÓN MÁS ALLÁ DE LA PALABRA HABLADA: HACIA UN ENTORNO INTELIGENTE PARA ABORDAR LOS DOCUMENTOS MULTIMEDIA/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement///CIPROM%2F2021%2F023//Combining Explainable Artificial Intelligence and Conceptual Modelling for Data Intensive Domains Management/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MIU//FPU21%2F05288/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.description.bibliographicCitation Ahuir-Esteve, V.; Segarra Soriano, E.; Hurtado Oliver, LF. (2023). ELiRF-VRAIN at BioNLP Task 1B: Radiology Report Summarization. Association for Computational Linguistics. 524-529. https://doi.org/10.18653/v1/2023.bionlp-1.52 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 22nd Workshop on Biomedical Natural Language Processing (BioNLP 2023) es_ES
dc.relation.conferencedate Julio 13-13,2023 es_ES
dc.relation.conferenceplace Toronto, Canada es_ES
dc.relation.publisherversion https://doi.org/10.18653/v1/2023.bionlp-1.52 es_ES
dc.description.upvformatpinicio 524 es_ES
dc.description.upvformatpfin 529 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\502464 es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder Ministerio de Universidades es_ES
dc.contributor.funder European Regional Development Fund es_ES


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