| CamemBERT: a Tasty French Language Model L Martin, B Muller, PJO Suárez, Y Dupont, L Romary, ÉV de la Clergerie, ... ACL 2020, 2020 | 771 | 2020 |
| Controllable Sentence Simplification L Martin, B Sagot, E de la Clergerie, A Bordes LREC 2020, 2020 | 109 | 2020 |
| EASSE: Easier Automatic Sentence Simplification Evaluation F Alva-Manchego*, L Martin*, C Scarton, L Specia EMNLP 2019, 2019 | 92 | 2019 |
| 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 | 88 | 2020 |
| MUSS: multilingual unsupervised sentence simplification by mining paraphrases L Martin, A Fan, É De La Clergerie, A Bordes, B Sagot arXiv preprint arXiv:2005.00352, 2020 | 81 | 2020 |
| 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 | 36 | 2018 |
| Efficient large scale language modeling with mixtures of experts M Artetxe, S Bhosale, N Goyal, T Mihaylov, M Ott, S Shleifer, XV Lin, J Du, ... arXiv preprint arXiv:2112.10684, 2021 | 16 | 2021 |
| Systems and Methods for Compact Convolutional Neural Networks L Martin US Patent 10,185,891, 2019 | 16 | 2019 |
| Rethinking Automatic Evaluation in Sentence Simplification T Scialom*, L Martin*, J Staiano, ÉV de la Clergerie, B Sagot arXiv preprint arXiv:2104.07560, 2021 | 13 | 2021 |
| Les modèles 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 | 11 | 2020 |
| Camembert: A tasty french language model. arXiv 2019 L Martin, B Muller, PJO Suárez, Y Dupont, L Romary, ÉV de La Clergerie, ... arXiv preprint arXiv:1911.03894, 0 | 10 | |
| 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 | 7 | 2018 |
| Multilingual unsupervised sentence simplification L Martin, A Fan, EV de La Clergerie, A Bordes, B Sagot | 3 | 2021 |
| Automatic sentence simplification using controllable and unsupervised methods L Martin Sorbonne Université, 2021 | 1 | 2021 |
| Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings M Atzeni, M Plekhanov, FA Dreyer, N Kassner, S Merello, L Martin, ... arXiv preprint arXiv:2305.12027, 2023 | | 2023 |
| ERATE: Efficient Retrieval Augmented Text Embeddings V Raina, N Kassner, K Popat, P Lewis, N Cancedda, L Martin The Fourth Workshop on Insights from Negative Results in NLP, 11-18, 2023 | | 2023 |
| Entity Tagging: Extracting Entities in Text Without Mention Supervision C Du, K Popat, L Martin, F Petroni arXiv preprint arXiv:2209.06148, 2022 | | 2022 |
| Simplification automatique de phrases à l'aide de méthodes contrôlables et non supervisées L Martin Sorbonne université, 2021 | | 2021 |
Benoît SagotDirecteur de recherches at Inria, head of the ALMAnaCH teamVerified email at inria.fr
