Louis Martin
Louis Martin
Facebook A.I. Research / Inria
Verified email at fb.com - Homepage
Title
Cited by
Cited by
Year
CamemBERT: a Tasty French Language Model
L Martin, B Muller, PJO Suárez, Y Dupont, L Romary, ÉV de la Clergerie, ...
ACL 2020, 2020
185*2020
EASSE: Easier Automatic Sentence Simplification Evaluation
F Alva-Manchego*, L Martin*, C Scarton, L Specia
EMNLP 2019, 2019
232019
Controllable Sentence Simplification
L Martin, B Sagot, E de la Clergerie, A Bordes
LREC 2020, 2020
172020
ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations
F Alva-Manchego*, L Martin*, A Bordes, C Scarton, B Sagot, L Specia
ACL 2020, 2020
122020
Systems and Methods for Compact Convolutional Neural Networks
L Martin
US Patent 10,185,891, 2019
102019
Reference-less Quality Estimation of Text Simplification Systems
L Martin, S Humeau, PE Mazaré, A Bordes, ÉV de La Clergerie, B Sagot
INLG 2018 - 1st Workshop on Automatic Text Adaptation (ATA), 2018
102018
Multilingual Unsupervised Sentence Simplification
L Martin, A Fan, É de la Clergerie, A Bordes, B Sagot
arXiv preprint arXiv:2005.00352, 2020
62020
CamemBERT: a Tasty French Language Model. arXiv e-prints
L Martin, B Muller, PJ Ortiz Suárez, Y Dupont, L Romary, ...
arXiv preprint arXiv:1911.03894, 2019
52019
ELMoLex: Connecting ELMo and lexicon features for dependency parsing
G Jawahar, B Muller, A Fethi, L Martin, ÉV de La Clergerie, B Sagot, ...
CoNLL 2018 - Shared Task: Multilingual Parsing from Raw Text to Universal …, 2018
22018
Rethinking Automatic Evaluation in Sentence Simplification
T Scialom, L Martin, J Staiano, ÉV de la Clergerie, B Sagot
arXiv preprint arXiv:2104.07560, 2021
2021
Les modčles de langue contextuels Camembert pour le français: impact de la taille et de l'hétérogénéité des données d'entrainement
L Martin, B Muller, PJO Suárez, Y Dupont, L Romary, ÉV de la Clergerie, ...
TALN 2020 - Actes de la 6e conférence conjointe Journées d'Études sur la …, 2020
2020
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