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Atténuer les erreurs de numérisation dans la reconnaissance d'entités nommées pour les documents historiques.

, , , , , , and . CORIA, ARIA, (2021)

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Robust Named Entity Recognition and Linking on Historical Multilingual Documents., , , , , , and . CLEF (Working Notes), volume 2696 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Automatic methods for assisted recruitments. (Méthodes automatiques pour l'aide au recrutement).. University of Avignon, France, (2015)MELHISSA: a multilingual entity linking architecture for historical press articles., , , , , , , and . Int. J. Digit. Libr., 23 (2): 133-160 (2022)Using Wikipedia to Validate the Terminology found in a Corpus of Basic Textbooks., , , and . LREC, page 3820-3827. European Language Resources Association (ELRA), (2012)Jus Mundi at SemEval-2023 Task 6: Using a Frustratingly Easy Domain Adaption for a Legal Named Entity Recognition System., and . SemEval@ACL, page 1783-1790. Association for Computational Linguistics, (2023)Simple Ways to Improve NER in Every Language using Markup., , and . CLEOPATRA@WWW, volume 2829 of CEUR Workshop Proceedings, page 17-31. CEUR-WS.org, (2021)Atténuer les erreurs de numérisation dans la reconnaissance d'entités nommées pour les documents historiques., , , , , , and . CORIA, ARIA, (2021)EMBEDDIA Tools, Datasets and Challenges: Resources and Hackathon Contributions., , , , , , , , , and 19 other author(s). EACL (Hackashop), page 99-109. Association for Computational Linguistics, (2021)Entity Linking for Historical Documents: Challenges and Solutions., , , , , , , and . ICADL, volume 12504 of Lecture Notes in Computer Science, page 215-231. Springer, (2020)Alleviating Digitization Errors in Named Entity Recognition for Historical Documents., , , , , , and . CoNLL, page 431-441. Association for Computational Linguistics, (2020)