Graham Neubig
Graham Neubig
Associate Professor of Computer Science, Carnegie Mellon University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα cs.cmu.edu - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Dynet: The dynamic neural network toolkit
G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ...
arXiv preprint arXiv:1701.03980, 2017
353*2017
A Syntactic Neural Model for General-Purpose Code Generation
P Yin, G Neubig
ACL 2017, 2017
2952017
Pointwise prediction for robust, adaptable Japanese morphological analysis
G Neubig, Y Nakata, S Mori
ACL 2011, 529-533, 2011
2682011
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
1582015
Are Sixteen Heads Really Better than One?
P Michel, O Levy, G Neubig
NeurIPS 2019, 2019
1522019
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
1342018
Incorporating discrete translation lexicons into neural machine translation
P Arthur, G Neubig, S Nakamura
EMNLP 2016, 2016
1282016
Neural machine translation and sequence-to-sequence models: A tutorial
G Neubig
arXiv preprint arXiv:1703.01619, 2017
1242017
Morphological inflection generation using character sequence to sequence learning
M Faruqui, Y Tsvetkov, G Neubig, C Dyer
NAACL 2016, 2016
1172016
Controllable Invariance through Adversarial Feature Learning
Q Xie, Z Dai, Y Du, E Hovy, G Neubig
NIPS 2017, 2017
115*2017
Controlling output length in neural encoder-decoders
Y Kikuchi, G Neubig, R Sasano, H Takamura, M Okumura
EMNLP 2016, 2016
1152016
What Do Recurrent Neural Network Grammars Learn About Syntax?
A Kuncoro, M Ballesteros, L Kong, C Dyer, G Neubig, NA Smith
EACL 2017, 2017
114*2017
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
1092013
Stress Test Evaluation for Natural Language Inference
A Naik, A Ravichander, N Sadeh, C Rose, G Neubig
COLING 2018, 2018
1002018
An unsupervised model for joint phrase alignment and extraction
G Neubig, T Watanabe, E Sumita, S Mori, T Kawahara
ACL 2011, 632-641, 2011
992011
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
J He, D Spokoyny, G Neubig, T Berg-Kirkpatrick
ICLR 2019, 2019
972019
Stack-Pointer Networks for Dependency Parsing
X Ma, Z Hu, J Liu, N Peng, G Neubig, E Hovy
ACL 2018, 2018
942018
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
882019
Stronger Baselines for Trustable Results in Neural Machine Translation
M Denkowski, G Neubig
WNMT 2017, 2017
882017
Safety Information Mining—What can NLP do in a disaster—
G Neubig, M Hagiwara, K Murakami, Y Matsubayashi
IJCNLP 2011, 2011
882011
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