| CharacterBERT: Reconciling ELMo and BERT for word-level open-vocabulary representations from characters HE Boukkouri, O Ferret, T Lavergne, H Noji, P Zweigenbaum, J Tsujii arXiv preprint arXiv:2010.10392, 2020 | 180 | 2020 |
| Embedding strategies for specialized domains: Application to clinical entity recognition H El Boukkouri, O Ferret, T Lavergne, P Zweigenbaum Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 25 | 2019 |
| Re-train or train from scratch? Comparing pre-training strategies of BERT in the medical domain H El Boukkouri, O Ferret, T Lavergne, P Zweigenbaum LREC 2022, 2626-2633, 2022 | 12 | 2022 |
| Ré-entraîner ou entraîner soi-même? Stratégies de pré-entraînement de BERT en domaine médical H El Boukkouri 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition …, 2020 | 7 | 2020 |
| Domain adaptation of word embeddings through the exploitation of in-domain corpora and knowledge bases H El Boukkouri Université Paris-Saclay, 2021 | 5 | 2021 |
| Specializing Static and Contextual Embeddings in the Medical Domain Using Knowledge Graphs: Let's Keep It Simple H El Boukkouri, O Ferret, T Lavergne, P Zweigenbaum International Workshop on Health Text Mining and Information Analysis (LOUHI), 2022 | 2 | 2022 |
| Combining String-based and Embeddings-based Methods for Medical Concept Normalization: LIMSI-CEA-INRA@ n2c2 2019 M Ba, R Bossy, P Brunet, L Deleger, H El Boukkouri, O Ferret, A Ferré, ... 2019 n2c2/OHNLP Shared-Task and Workshop, 2019 | | 2019 |
Pierre ZweigenbaumSenior Researcher, LISN, CNRS, Université Paris-Saclay, Orsay, France (formery LIMSI)Verified email at lisn.fr
