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Cortical microstructure in primary progressive aphasia: a multicenter study.
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In: Alzheimer's research & therapy, vol 14, iss 1 (2022)
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An Efficient Method for Biomedical Entity Linking Based on Inter- and Intra-Entity Attention
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In: Applied Sciences; Volume 12; Issue 6; Pages: 3191 (2022)
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Comparison of Text Mining Models for Food and Dietary Constituent Named-Entity Recognition
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In: Machine Learning and Knowledge Extraction; Volume 4; Issue 1; Pages: 254-275 (2022)
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StaResGRU-CNN with CMedLMs: a stacked residual GRU-CNN with pre-trained biomedical language models for predictive intelligence
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Switching of oral anticoagulants in atrial fibrillation: a cohort study using Australian general practice data
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Applications of artificial intelligence to aid early detection of dementia: a scoping review on current capabilities and future directions
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ITEXT-BIO: Intelligent Term EXTraction for BIOmedical Analysis
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In: ISSN: 2047-2501 ; Health Information Science and Systems ; https://hal.inrae.fr/hal-03283040 ; Health Information Science and Systems, BioMed Central, 2021, 9 (1), pp.29. ⟨10.1007/s13755-021-00156-6⟩ (2021)
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Effect of depth order on iterative nested named entity recognition models
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In: Conference on Artificial Intelligence in Medecine (AIME 2021) ; https://hal.archives-ouvertes.fr/hal-03277643 ; Conference on Artificial Intelligence in Medecine (AIME 2021), Jun 2021, Porto, Portugal (2021)
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ITEXT-BIO: Intelligent Term EXTraction for BIOmedical Analysis
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In: ISSN: 2047-2501 ; Health Information Science and Systems ; https://hal.inrae.fr/hal-03283040 ; Health Information Science and Systems, BioMed Central, In press (2021)
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French FastContext: a Publicly Accessible System for Detecting Negation, Temporality and Experiencer in French Clinical Notes
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In: ISSN: 1532-0464 ; EISSN: 1532-0480 ; Journal of Biomedical Informatics ; https://hal.mines-ales.fr/hal-03184001 ; Journal of Biomedical Informatics, Elsevier, 2021, 117, pp.103733. ⟨10.1016/j.jbi.2021.103733⟩ (2021)
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Simplification automatique de textes biomédicaux en français : les données précises de petite taille aident
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In: Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale ; TALN - Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-03509735 ; TALN - Traitement Automatique des Langues Naturelles, Jul 2021, Lille, France (2021)
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Team LIA/LS2N at BioCreative VII LitCovid Track: Multi-label Document Classification for COVID-19 Literature using Keyword Based Enhancement and Few-Shot Learning
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In: BioCreative VII Challenge Evaluation Workshop ; https://hal.archives-ouvertes.fr/hal-03426326 ; BioCreative VII Challenge Evaluation Workshop, Nov 2021, Virtual Conference, United States (2021)
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BI-RADS Reading of Non-Mass Lesions on DCE-MRI and Differential Diagnosis Performed by Radiomics and Deep Learning.
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BI-RADS Reading of Non-Mass Lesions on DCE-MRI and Differential Diagnosis Performed by Radiomics and Deep Learning.
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What matters when exploring fidelity when using health IT to reduce disparities?
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In: BMC medical informatics and decision making, vol 21, iss 1 (2021)
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Automatic simplification of technical and specialized texts ; Simplification automatique de textes techniques et spécialisés
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In: https://hal.archives-ouvertes.fr/tel-03343769 ; Informatique et langage [cs.CL]. Université de Lille, 2021. Français. ⟨NNT : 2021LILUH007⟩ (2021)
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Automatic text simplification of specialized and technical texts ; Simplification automatique de textes techniques et spécialisés
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In: https://hal.archives-ouvertes.fr/tel-03343769 ; Informatique et langage [cs.CL]. Université de Lille, 2021. Français (2021)
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Simplification automatique de textes biomédicaux en français: lorsque des données précises de petite taille aident
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In: Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale ; Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-03265887 ; Traitement Automatique des Langues Naturelles, 2021, Lille, France. pp.275-277 (2021)
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