Generating summary sentences using Adversarially Regularized Autoencoders with conditional context

•We proposed a novel summary method by using code vector of autoencoder.•Unsupervised abstractive summarization using Adversarially regularized autoencoder.•Conditional model is proposed and enhanced performance for review summarization. Abstractive summarization is challenging problem, especially a...

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Veröffentlicht in:	Expert systems with applications 2019-09, Vol.130, p.1-11
Hauptverfasser:	Kong, Hyesoo, Kim, Wooju
Format:	Artikel
Sprache:	eng
Schlagworte:	Clusters Conditional model Customers Experiments Generative adversarial network Machine learning Review summarization Sentence generation Text summarization
Online-Zugang:	Volltext
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