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Squeezing Bottlenecks: Exploring the Limits of Autoencoder Semantic Representation Capabilities

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Squeezing Bottlenecks: Exploring the Limits of Autoencoder Semantic Representation Capabilities

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Gupta, PA.; Banchs, R.; Rosso, P. (2016). Squeezing Bottlenecks: Exploring the Limits of Autoencoder Semantic Representation Capabilities. Neurocomputing. 175:1001-1008. https://doi.org/10.1016/j.neucom.2015.06.091

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Título: Squeezing Bottlenecks: Exploring the Limits of Autoencoder Semantic Representation Capabilities
Autor: Gupta, Parth Alokkumar Banchs, Rafael Rosso, Paolo
Entidad UPV: Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Fecha difusión:
Resumen:
[EN] We present a comprehensive study on the use of autoencoders for modelling text data, in which (differently from previous studies) we focus our attention on the various issues. We explore the suitability of two ...[+]
Palabras clave: Text representation , Deep autoencoder
Derechos de uso: Reserva de todos los derechos
Fuente:
Neurocomputing. (issn: 0925-2312 )
DOI: 10.1016/j.neucom.2015.06.091
Editorial:
Elsevier
Versión del editor: http://dx.doi.org/10.1016/j.neucom.2015.06.091
Código del Proyecto:
info:eu-repo/grantAgreement/EC/FP7/269180/EU/Web Information Quality Evaluation Initiative/
info:eu-repo/grantAgreement/MINECO//TIN2012-38603-C02-01/ES/DIANA-APPLICATIONS: FINDING HIDDEN KNOWLEDGE IN TEXTS: APPLICATIONS/
Descripción: This is the author’s version of a work that was accepted for publication in Neurocomputing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Neurocomputing 175 (2016) 1001–1008. DOI 10.1016/j.neucom.2015.06.091.
Agradecimientos:
A significant part of this research work was conducted during the first author's attachment to the HLT department of I2R in Singapore. The work of the first and third authors was carried out in the framework of the WIQ-EI ...[+]
Tipo: Artículo

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