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Named Entity Recognition for Monitoring Plant Health Threats in Tweets: a ChouBERT Approach.

, , , and . UV, page 1-5. IEEE, (2022)

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Extracting Definienda in Mathematical Scholarly Articles with Transformers., and . CoRR, (2023)Towards the Integration of Agricultural Data from Heterogeneous Sources: Perspectives for the French Agricultural Context Using Semantic Technologies., , , , and . CAiSE Workshops, volume 382 of Lecture Notes in Business Information Processing, page 89-94. Springer, (2020)Informativeness in Twitter Textual Contents for Farmer-centric Plant Health Monitoring., , , , and . ICPRAI (2), volume 13364 of Lecture Notes in Computer Science, page 492-503. Springer, (2022)Named Entity Recognition for Monitoring Plant Health Threats in Tweets: a ChouBERT Approach., , , and . CoRR, (2023)Named Entity Recognition for Monitoring Plant Health Threats in Tweets: a ChouBERT Approach., , , and . UV, page 1-5. IEEE, (2022)Improving text mining in plant health domain with GAN and/or pre-trained language model., , , and . Frontiers Artif. Intell., (February 2023)ChouBERT : Pré-entraînement d'un modèle de langue française pour le Crowdsensing avec des Tweets dans un contexte phytosanitaire., , , , and . INFORSID, page 171-172. (2023)ChouBERT: Pre-training French Language Model for Crowdsensing with Tweets in Phytosanitary Context., , , , and . RCIS, volume 446 of Lecture Notes in Business Information Processing, page 653-661. Springer, (2022)Vers la Reconstruction des Connaissances Agricoles: Perspectives de Détection des Risques Naturels à partir de Sources de Données Hétérogènes., , , , and . EGC, volume E-37 of RNTI, page 507-508. Éditions RNTI, (2021)Informativité dans les Contenus Textuels Twitter pour la Phytosurveillance Centrée sur l'observation des Agriculteurs., , , , and . EGC, volume E-38 of RNTI, page 501-502. Editions RNTI, (2022)