Paul Michel
Paul Michel
PhD Student, Language Technologies Institute, Carnegie Mellon University
Verified email at - Homepage
Cited by
Cited by
Dynet: The dynamic neural network toolkit
G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ...
arXiv preprint arXiv:1701.03980, 2017
Are Sixteen Heads Really Better than One?
P Michel, O Levy, G Neubig
NeurIPS 2019, 2019
Extreme Adaptation for Personalized Neural Machine Translation
P Michel, G Neubig
ACL 2018, 2018
MTNT: A Testbed for Machine Translation of Noisy Text
P Michel, G Neubig
EMNLP 2018, 2018
On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models
P Michel, X Li, G Neubig, JM Pino
NAACL 2019, 2019
compare-mt: A Tool for Holistic Comparison of Language Generation Systems
G Neubig, ZY Dou, J Hu, P Michel, D Pruthi, X Wang
NAACL 2019 Demo, 2019
Findings of the first shared task on machine translation robustness
X Li, P Michel, A Anastasopoulos, Y Belinkov, N Durrani, O Firat, P Koehn, ...
WMT 2019, 2019
Blind phoneme segmentation with temporal prediction errors
P Michel, O Räsänen, R Thiolliere, E Dupoux
ACL SRW 2017, 2016
Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology Based Representations
P Michel, A Ravichander, S Rijhwani
Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017
Optimizing Data Usage via Differentiable Rewards
X Wang, H Pham, P Michel, A Anastasopoulos, G Neubig, J Carbonell
arXiv preprint arXiv:1911.10088, 2019
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