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A Convolutional Encoder Model for Neural Machine Translation
Jonas Gehring
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Michael Auli
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David Grangier
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Yann Dauphin
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Paper Details:
Month: July
Year: 2017
Location: Vancouver, Canada
Venue:
ACL |
Citations
URL
Multi-layer Representation Fusion for Neural Machine Translation
Qiang Wang
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Fuxue Li
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Tong Xiao
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Yanyang Li
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Yinqiao Li
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Jingbo Zhu
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Adaptive Weighting for Neural Machine Translation
Yachao Li
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Junhui Li
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Min Zhang
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Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
Joost Bastings
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Ivan Titov
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Wilker Aziz
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Diego Marcheggiani
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Khalil Sima’an
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Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
Shashi Narayan
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Shay B. Cohen
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Mirella Lapata
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Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks
Biao Zhang
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Deyi Xiong
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Jinsong Su
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Qian Lin
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Huiji Zhang
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Speeding Up Neural Machine Translation Decoding by Cube Pruning
Wen Zhang
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Liang Huang
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Yang Feng
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Lei Shen
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Qun Liu
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Exploring Recombination for Efficient Decoding of Neural Machine Translation
Zhisong Zhang
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Rui Wang
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Masao Utiyama
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Eiichiro Sumita
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Hai Zhao
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Convolutional Neural Network with Word Embeddings for Chinese Word Segmentation
Chunqi Wang
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Bo Xu
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Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction
Maha Elbayad
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Laurent Besacier
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Jakob Verbeek
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Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks
Diego Marcheggiani
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Joost Bastings
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Ivan Titov
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Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures
Wenqiang Lei
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Xisen Jin
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Min-Yen Kan
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Zhaochun Ren
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Xiangnan He
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Dawei Yin
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Accelerating Neural Transformer via an Average Attention Network
Biao Zhang
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Deyi Xiong
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Jinsong Su
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OhioState at SemEval-2018 Task 7: Exploiting Data Augmentation for Relation Classification in Scientific Papers Using Piecewise Convolutional Neural Networks
Dushyanta Dhyani
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Improved Neural Machine Translation using Side Information
Cong Duy Vu Hoang
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Gholamreza Haffari
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Trevor Cohn
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A Bag of Useful Tricks for Practical Neural Machine Translation: Embedding Layer Initialization and Large Batch Size
Masato Neishi
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Jin Sakuma
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Satoshi Tohda
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Shonosuke Ishiwatari
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Naoki Yoshinaga
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Masashi Toyoda
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Neural Monkey: The Current State and Beyond
Jindřich Helcl
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Jindřich Libovický
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Tom Kocmi
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Tomáš Musil
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Ondřej Cífka
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Dušan Variš
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Ondřej Bojar
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On the Impact of Various Types of Noise on Neural Machine Translation
Huda Khayrallah
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Philipp Koehn
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A Call for Clarity in Reporting BLEU Scores
Matt Post
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https://doi.org/10.18653/v1/P17-1012
https://doi.org/10.18653/v1/P17-1012
http://data.statmt.org/
https://github.com/moses-smt/
https://github.com/facebookresearch/
http://torch.ch
https://cs224d.stanford.edu/
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