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From free-text electronic health records to structured cohorts: Onconum, an innovative methodology for real-world data mining in breast cancer.

, , , , , , , , , , , and . Comput. Methods Programs Biomed., (October 2023)

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Forward Learning of Graph Neural Networks., , , , , , , and . CoRR, (2024)Un modèle Transformer Génératif Pré-entrainé pour le______ français (Generative Pre-trained Transformer in______ (French) We introduce a French adaptation from the well-known GPT model)., and . TALN (1), page 246-255. ATALA, (2021)Contrasting distinct structured views to learn sentence embeddings., and . EACL (Student Research Workshop), page 71-79. Association for Computational Linguistics, (2021)How Many Layers and Why? An Analysis of the Model Depth in Transformers., and . ACL (student), page 221-228. Association for Computational Linguistics, (2021)GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection., , , , , and . CoRR, (2024)From free-text electronic health records to structured cohorts: Onconum, an innovative methodology for real-world data mining in breast cancer., , , , , , , , , and 2 other author(s). Comput. Methods Programs Biomed., (October 2023)Unifying Parsing and Tree-Structured Models for Generating Sentence Semantic Representations., and . NAACL-HLT (Student Research Workshop), page 267-276. Association for Computational Linguistics, (2022)Sentence embeddings and their relation with sentence structures. (Plongements de phrases et leurs relations avec les structures de phrases).. Université Paris Cité, France, (2022)