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Weakly Supervised One-Shot Classification Using Recurrent Neural Networks with Attention: Application to Claim Acceptance Detection.

, , , and . JURIX, volume 322 of Frontiers in Artificial Intelligence and Applications, page 23-32. IOS Press, (2019)

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Reconnaissance de sections et d'entités dans les décisions de justice : application des modèles probabilistes HMM et CRF., , , , and . EGC, volume E-33 of Revue des Nouvelles Technologies de l'Information, page 201-212. Éditions RNTI, (2017)Linking Appellate Judgments to Tribunal Judgments - Benchmarking Different ML Techniques., , , , and . JURIX, volume 362 of Frontiers in Artificial Intelligence and Applications, page 33-42. IOS Press, (2022)NER sur décisions judiciaires françaises : CamemBERT Judiciaire ou méthode ensembliste ?, , , , and . EGC, volume E-38 of RNTI, page 281-288. Editions RNTI, (2022)Scribe: A Specialized Collaborative Tool for Legal Judgment Annotation., , , and . JURIX, volume 362 of Frontiers in Artificial Intelligence and Applications, page 290-293. IOS Press, (2022)Classification One-Shot faiblement supervisée par réseaux de neurones récurrents avec attention : application à la détection de résultat juridique., , , and . EGC, volume E-36 of RNTI, page 277-284. Éditions RNTI, (2020)Detecting Sections and Entities in Court Decisions Using HMM and CRF Graphical Models., , , , and . EGC (best of volume), volume 834 of Studies in Computational Intelligence, page 61-86. Springer, (2018)Weakly Supervised One-Shot Classification Using Recurrent Neural Networks with Attention: Application to Claim Acceptance Detection., , , and . JURIX, volume 322 of Frontiers in Artificial Intelligence and Applications, page 23-32. IOS Press, (2019)