| What does BERT learn about the structure of language? G Jawahar, B Sagot, D Seddah ACL 2019-57th Annual Meeting of the Association for Computational Linguistics, 2019 | 1151 | 2019 |
| CamemBERT: a tasty French language model L Martin, B Muller, PJO Suárez, Y Dupont, L Romary, ÉV de La Clergerie, ... arXiv preprint arXiv:1911.03894, 2019 | 904 | 2019 |
| Universal Dependencies 2.2 J Nivre, M Abrams, Ž Agić, L Ahrenberg, L Antonsen, MJ Aranzabe, ... | 239 | 2018 |
| Overview of the SPMRL 2013 shared task: A cross-framework evaluation of parsing morphologically rich languages D Seddah, R Tsarfaty, S Kübler, M Candito, JD Choi, R Farkas, J Foster, ... Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically …, 2013 | 201 | 2013 |
| Le corpus Sequoia: annotation syntaxique et exploitation pour l'adaptation d'analyseur par pont lexical M Candito, D Seddah TALN 2012-19e conférence sur le Traitement Automatique des Langues Naturelles, 2012 | 180 | 2012 |
| Statistical parsing of morphologically rich languages (spmrl) what, how and whither R Tsarfaty, D Seddah, Y Goldberg, S Kübler, Y Versley, M Candito, ... Proceedings of the NAACL HLT 2010 First Workshop on Statistical Parsing of …, 2010 | 175 | 2010 |
| Introducing the SPMRL 2014 shared task on parsing morphologically-rich languages D Seddah, S Kübler, R Tsarfaty Proceedings of the First Joint Workshop on Statistical Parsing of …, 2014 | 118 | 2014 |
| Parsing morphologically rich languages: Introduction to the special issue R Tsarfaty, D Seddah, S Kübler, J Nivre Computational linguistics 39 (1), 15-22, 2013 | 98 | 2013 |
| When being unseen from mBERT is just the beginning: Handling new languages with multilingual language models B Muller, A Anastasopoulos, B Sagot, D Seddah arXiv preprint arXiv:2010.12858, 2020 | 90 | 2020 |
| The CoMeRe corpus for French: structuring and annotating heterogeneous CMC genres T Chanier, C Poudat, B Sagot, G Antoniadis, CR Wigham, L Hriba, ... Journal for language technology and computational linguistics 29 (2), 1-30, 2014 | 73 | 2014 |
| Simple, interpretable and stable method for detecting words with usage change across corpora H Gonen, G Jawahar, D Seddah, Y Goldberg arXiv preprint arXiv:2112.14330, 2021 | 70 | 2021 |
| The French Social Media Bank: a treebank of noisy user generated content D Seddah, B Sagot, M Candito, V Mouilleron, V Combet COLING 2012-24th International Conference on Computational Linguistics, 2012 | 69 | 2012 |
| Deep syntax annotation of the sequoia french treebank M Candito, G Perrier, B Guillaume, C Ribeyre, K Fort, D Seddah, ... International Conference on Language Resources and Evaluation (LREC), 2014 | 60 | 2014 |
| Parsing word clusters M Candito, D Seddah NAACL/HLT-2010 Workshop on Statistical Parsing of Morphologically Rich …, 2010 | 48 | 2010 |
| Enhancing BERT for lexical normalization B Muller, B Sagot, D Seddah The 5th workshop on noisy user-generated text (W-NUT), 2019 | 46 | 2019 |
| Lemmatization and statistical lexicalized parsing of morphologically-rich languages D Seddah, G Chrupala, Ö Çetinoglu, J Van Genabith, M Candito Proceedings of the NAACL/HLT Workshop on Statistical Parsing of …, 2010 | 43* | 2010 |
| First align, then predict: Understanding the cross-lingual ability of multilingual BERT B Muller, Y Elazar, B Sagot, D Seddah arXiv preprint arXiv:2101.11109, 2021 | 39 | 2021 |
| Cross parser evaluation: a French Treebanks study D Seddah, M Candito, B Crabbé Proceedings of the 11th International Conference on Parsing Technologies …, 2009 | 38 | 2009 |
| Synthetic data augmentation for zero-shot cross-lingual question answering A Riabi, T Scialom, R Keraron, B Sagot, D Seddah, J Staiano arXiv preprint arXiv:2010.12643, 2020 | 37 | 2020 |
| Building a user-generated content North-African Arabizi treebank: Tackling hell D Seddah, F Essaidi, A Fethi, M Futeral, B Muller, PO Suarez, B Sagot, ... Proceedings of the 58th annual meeting of the Association for Computational …, 2020 | 37 | 2020 |
Benoît SagotDirecteur de recherches at Inria, head of the ALMAnaCH teamVerified email at inria.fr
