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Easy-to-use Combination of POS and BERT Model for Domain-Specific and Misspelled Terms.

, , , and . NL4AI@AI*IA, volume 3015 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)

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A New Approach to Compare the Performance of Two Classification Methods of Causes of Death for Timely Surveillance in France., , , , , , , and . MedInfo, volume 264 of Studies in Health Technology and Informatics, page 925-929. IOS Press, (2019)Evaluating Tokenizers Impact on OOVs Representation with Transformers Models., , , and . LREC, page 4193-4204. European Language Resources Association, (2022)Médicaments qui soignent, médicaments qui rendent malades : étude des relations causales pour identifier les effets secondaires., , , and . TALN, page 270-276. ATALA, (2015)Experiments from LIMSI at the French Named Entity Recognition Coarse-grained Task., , and . CLEF (Working Notes), volume 2696 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Building A Contrasting Taxa Extractor for Relation Identification from Assertions: BIOlogical Taxonomy & Ontology Phrase Extraction System.. BioNLP@ACL (Shared Task), page 144-152. Association for Computational Linguistics, (2013)Clinical Case Reports for NLP., , , and . BioNLP@ACL, page 273-282. Association for Computational Linguistics, (2019)DEFT'07 : une campagne d'évaluation en fouille d'opinion., , , and . Fouille de Données d'Opinions, volume E-17 of RNTI, Cépaduès-Éditions, (2009)JEP-TALN-RECITAL 2012, Atelier DEFT 2012: DÉfi Fouille de Textes, , and . ATALA/AFCP, (2012)DEFT2018 : recherche d'information et analyse de sentiments dans des tweets concernant les transports en Île de France (DEFT2018 : Information Retrieval and Sentiment Analysis in Tweets about Public Transportation in Île de France Region )., , , , , , , , , and . CORIA-TALN-RJC (DeFT), page 219-230. ATALA, (2018)Easy-to-use Combination of POS and BERT Model for Domain-Specific and Misspelled Terms., , , and . NL4AI@AI*IA, volume 3015 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)