Transcription of Learning Phrase Representations using RNN Encoder- …
{{id}} {{{paragraph}}}
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1724 1734,October 25-29, 2014, Doha, 2014 Association for Computational LinguisticsLearning Phrase Representations using RNN Encoder Decoderfor statistical machine TranslationKyunghyun ChoBart van Merri enboer Caglar GulcehreUniversit e de Montr BahdanauJacobs University, Bougares Holger SchwenkUniversit e du Maine, BengioUniversit e de Montr eal, CIFAR Senior this paper, we propose a novel neu-ral network model called RNN Encoder Decoder that consists of two recurrentneural networks (RNN).
Learning Phrase Representations using RNN Encoder Decoder for Statistical Machine Translation Kyunghyun Cho Bart van Merri enboer Caglar Gulcehre¨ Universite de Montr´ eal´ firstname.lastname@umontreal.ca Dzmitry Bahdanau Jacobs University, Germany d.bahdanau@jacobs-university.de Fethi Bougares Holger Schwenk Universit´e du Maine, France
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
{{id}} {{{paragraph}}}
Chapter 12 Bayesian Inference, Statistical Machine Learning CHAPTER 12. BAYESIAN INFERENCE, AN INTRODUCTION TO MACHINE LEARNING, Statistical, Machine, Statistical learning, Distributed Optimization, Machine learning, Learning, Statistical Machine, Lecture Notes, About the Tutorial, Introduction to Statistical Learning Theory