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Applying Siamese Hierarchical Attention Neural Networks for multi-document summarization

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Applying Siamese Hierarchical Attention Neural Networks for multi-document summarization

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González-Barba, JÁ.; Julien Delonca; Sanchís Arnal, E.; García-Granada, F.; Segarra Soriano, E. (2019). Applying Siamese Hierarchical Attention Neural Networks for multi-document summarization. PROCESAMIENTO DEL LENGUAJE NATURAL. (63):111-118. https://doi.org/10.26342/2019-63-12

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/140216

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Title: Applying Siamese Hierarchical Attention Neural Networks for multi-document summarization
Author: González-Barba, José Ángel Julien Delonca Sanchís Arnal, Emilio García-Granada, Fernando Segarra Soriano, Encarnación
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] In this paper, we present an approach to multi-document summarization based on Siamese Hierarchical Attention Neural Networks. The attention mechanism of Hierarchical Attention Networks, provides a score to each ...[+]
Subjects: Siamese hierarchical attention networks , Multi-document summarization
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
PROCESAMIENTO DEL LENGUAJE NATURAL. (issn: 1135-5948 )
DOI: 10.26342/2019-63-12
Publisher:
Sociedad Española para el Procesamiento del Lenguaje Natural
Publisher version: https://doi.org/10.26342/2019-63-12
Project ID:
info:eu-repo/grantAgreement/UPV//PAID-01-17/
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/
Thanks:
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.[+]
Type: Artículo

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