Fetching the paper…
Reading the bibliography…
Data augmentation is an effective performance enhancement in neural machine translation (NMT) by generating additional bilingual data.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. 2012 · 2012
Earlier work this paper cites.
Recurrent continuous translation models
Nal Kalchbrenner and Phil Blunsom. 2013 · 2013
Earlier work this paper cites.
Regularization of neural networks using dropconnect
Li Wan, Matthew D. Zeiler, Sixin Zhang, Yann LeCun, and Rob Fergus. 2013 · 2013
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014 · 2014
Earlier work this paper cites.
Deep unordered composition rivals syntactic methods for text classification
Mohit Iyyer, Varun Manjunatha, Jordan L. Boyd-Graber, and Hal Daumé III. 2015 · 2015
Earlier work this paper cites.
Tree-to-sequence attentional neural machine translation
Akiko Eriguchi, Kazuma Hashimoto, and Yoshimasa Tsuruoka. 2016 · 2016
Earlier work this paper cites.
Improving neural machine translation models with monolingual data
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
Earlier work this paper cites.
Probabilistic graph-based dependency parsing with convolutional neural network
Zhisong Zhang, Hai Zhao, and Lianhui Qin. 2016 · 2016
Earlier work this paper cites.
Towards string-to-tree neural machine translation
Roee Aharoni and Yoav Goldberg. 2017 · 2017
Earlier work this paper cites.
Convolutional sequence to sequence learning
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann N. Dauphin. 2017 · 2017
Cited alongside, same era.
Smart augmentation learning an optimal data augmentation strategy
Joseph Lemley, Shabab Bazrafkan, and Peter Corcoran. 2017 · 2017
Cited alongside, same era.
A structured self-attentive sentence embedding
Zhouhan Lin, Minwei Feng, Cícero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, and Yoshua Bengio. 2017 · 2017
Cited alongside, same era.
A bayesian data augmentation approach for learning deep models
Toan Tran, Trung Pham, Gustavo Carneiro, Lyle J. Palmer, and Ian D. Reid. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
A transition-based system for universal dependency parsing
Hao Wang, Hai Zhao, and Zhisong Zhang. 2017 · 2017
Neural character-level dependency parsing for chinese
Haonan Li, Zhisong Zhang, Yuqi Ju, and Hai Zhao. 2018a · 2018
Later among the works it cites.
A unified syntax-aware framework for semantic role labeling
Zuchao Li, Shexia He, Jiaxun Cai, Zhuosheng Zhang, Hai Zhao, Gongshen Liu, Linlin Li, and Luo Si. 2018c · 2018
Later among the works it cites.
Joint learning of POS and dependencies for multilingual universal dependency parsing
Zuchao Li, Shexia He, Zhuosheng Zhang, and Hai Zhao. 2018d · 2018
Later among the works it cites.
Multilingual universal dependency parsing from raw text with low-resource language enhancement
Yingting Wu, Hai Zhao, and Jia-Jun Tong. 2018 · 2018
Later among the works it cites.
Soft contextual data augmentation for neural machine translation
Fei Gao, Jinhua Zhu, Lijun Wu, Yingce Xia, Tao Qin, Xueqi Cheng, Wengang Zhou, and Tie-Yan Liu. 2019 · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Data noising as smoothing in neural network language models
Ziang Xie, Sida I. Wang, Jiwei Li, Daniel Lévy, Aiming Nie, Dan Jurafsky, and Andrew Y. Ng. 2017 · 2017
Cited alongside, same era.
Unsupervised neural machine translation
Mikel Artetxe, Gorka Labaka, Eneko Agirre, and Kyunghyun Cho. 2018 · 2018
Cited alongside, same era.
Understanding back-translation at scale
Sergey Edunov, Myle Ott, Michael Auli, and David Grangier. 2018 · 2018
Cited alongside, same era.
Unsupervised machine translation using monolingual corpora only
Guillaume Lample, Alexis Conneau, Ludovic Denoyer, and Marc’Aurelio Ranzato. 2018 · 2018
Cited alongside, same era.
Seq2seq dependency parsing
Zuchao Li, Jiaxun Cai, Shexia He, and Hai Zhao. 2018b
Cited in the paper.
Zhenhao Li and Lucia Specia. 2019 · 2019
Later among the works it cites.
Effective representation for easy-first dependency parsing
Zuchao Li, Jiaxun Cai, and Hai Zhao. 2019 · 2019
Later among the works it cites.
Data diversification: An elegant strategy for neural machine translation
Xuan-Phi Nguyen, Shafiq Joty, Wu Kui, and Ai Ti Aw. 2019 · 2019
Later among the works it cites.
Generalized data augmentation for low-resource translation
Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos, and Graham Neubig. 2019 · 2019
Later among the works it cites.
Syntax for semantic role labeling, to be, or not to be
Shexia He, Zuchao Li, Hai Zhao, and Hongxiao Bai. 2018 · 2071
Closest in time.