Graham Neubig

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Satoshi NakamuraNara Institute of Science and TechnologyVerified email at is.naist.jp
Sakriani SaktiProject Associate Professor of Nara Institutes of Science and TechnologyVerified email at is.naist.jp
Tomoki TodaNagoya UniversityVerified email at icts.nagoya-u.ac.jp
Antonis AnastasopoulosAssistant Professor, George Mason UniversityVerified email at gmu.edu
Pengcheng YinCarnegie Mellon UniversityVerified email at cs.cmu.edu
Yusuke ODASoftware Engineer, GoogleVerified email at google.com
Paul MichelPhD Student, Language Technologies Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Kevin DuhJohns Hopkins UniversityVerified email at cs.jhu.edu
Shinnosuke TakamichiUniversity of TokyoVerified email at ipc.i.u-tokyo.ac.jp
Matthias SperberAppleVerified email at apple.com
Chris DyerDeepMind, Carnegie MellonVerified email at google.com
Tatsuya KawaharaProfessor, School of Informatics, Kyoto UniversityVerified email at i.kyoto-u.ac.jp
Miguel BallesterosSenior Applied Scientist, AmazonVerified email at amazon.com
Trevor CohnSchool of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Xinyi WangPhD student, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Philip ArthurAI Scientist @ OracleVerified email at oracle.com
Eiichiro SUMITANICT (National Institute of Information and Communications Technology)Verified email at nict.go.jp
Junjie HuPhD, Language Technologies Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Koichiro YoshinoRobotics Project, RIKENVerified email at is.naist.jp
Eduard HovyCarnegie Mellon UniversityVerified email at cmu.edu

Graham Neubig

Associate Professor of Computer Science, Carnegie Mellon University

Verified email at cs.cmu.edu - Homepage

Natural Language Processing Machine Learning


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Dynet: The dynamic neural network toolkit G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ... arXiv preprint arXiv:1701.03980, 2017	363*	2017
A Syntactic Neural Model for General-Purpose Code Generation P Yin, G Neubig ACL 2017, 2017	319	2017
Pointwise prediction for robust, adaptable Japanese morphological analysis G Neubig, Y Nakata, S Mori ACL 2011, 529-533, 2011	275	2011
Are Sixteen Heads Really Better than One? P Michel, O Levy, G Neubig NeurIPS 2019, 2019	200	2019
Learning to generate pseudo-code from source code using statistical machine translation (t) Y Oda, H Fudaba, G Neubig, H Hata, S Sakti, T Toda, S Nakamura ASE 2015, 574-584, 2015	171	2015
When and Why are Pre-trained Word Embeddings Useful for Neural Machine Translation? Y Qi, DS Sachan, M Felix, SJ Padmanabhan, G Neubig NAACL 2018, 2018	157	2018
Neural machine translation and sequence-to-sequence models: A tutorial G Neubig arXiv preprint arXiv:1703.01619, 2017	138	2017
Incorporating discrete translation lexicons into neural machine translation P Arthur, G Neubig, S Nakamura EMNLP 2016, 2016	134	2016
Controllable Invariance through Adversarial Feature Learning Q Xie, Z Dai, Y Du, E Hovy, G Neubig NIPS 2017, 2017	131	2017
Controlling output length in neural encoder-decoders Y Kikuchi, G Neubig, R Sasano, H Takamura, M Okumura EMNLP 2016, 2016	123	2016
What Do Recurrent Neural Network Grammars Learn About Syntax? A Kuncoro, M Ballesteros, L Kong, C Dyer, G Neubig, NA Smith EACL 2017, 2017	121*	2017
Morphological inflection generation using character sequence to sequence learning M Faruqui, Y Tsvetkov, G Neubig, C Dyer NAACL 2016, 2016	121	2016
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders J He, D Spokoyny, G Neubig, T Berg-Kirkpatrick ICLR 2019, 2019	119	2019
XTREME: A massively multilingual multi-task benchmark for evaluating cross-lingual generalization J Hu, S Ruder, A Siddhant, G Neubig, O Firat, M Johnson ICML 2020, 2020	117	2020
Stress Test Evaluation for Natural Language Inference A Naik, A Ravichander, N Sadeh, C Rose, G Neubig COLING 2018, 2018	114	2018
Adaptation data selection using neural language models: Experiments in machine translation K Duh, G Neubig, K Sudoh, H Tsukada ACL 2013 2, 678-683, 2013	108	2013
Stack-Pointer Networks for Dependency Parsing X Ma, Z Hu, J Liu, N Peng, G Neubig, E Hovy ACL 2018, 2018	104	2018
An unsupervised model for joint phrase alignment and extraction G Neubig, T Watanabe, E Sumita, S Mori, T Kawahara ACL 2011, 632-641, 2011	99	2011
Self-Attentional Acoustic Models M Sperber, J Niehues, G Neubig, S Stüker, A Waibel InterSpeech 2018, 2018	96	2018
Overview of the 6th workshop on Asian translation T Nakazawa, N Doi, S Higashiyama, C Ding, R Dabre, H Mino, I Goto, ... WAT 2019, 1-35, 2019	93	2019

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