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Caractérisation des discours scientifiques et vulgarisés en français, japonais et russe.

, , and . TALN (Posters), page 93-102. ATALA, (2007)

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Deux approches pour catégoriser le risque., and . EGC, volume E-28 of Revue des Nouvelles Technologies de l'Information, page 83-88. Hermann-Éditions, (2015)Déterminer la difficulté de termes médicaux en contexte., and . EGC, volume E-38 of RNTI, page 489-490. Editions RNTI, (2022)Reducing the Search Space for Parallel Sentences in Comparable Corpora., and . BUCC@LREC, page 44-48. European Language Resources Association, (2020)Impact des informations sémantiques sur la catégorisation automatique des documents cliniques., and . TIA, volume 578 of CEUR Workshop Proceedings, CEUR-WS.org, (2009)Paraphrastic Reformulations in Spoken Corpora., and . PolTAL, volume 8686 of Lecture Notes in Computer Science, page 425-437. Springer, (2014)Application of Cross-Language Criteria for the Automatic Distinction of Expert and Non Expert Online Health Documents., and . AIME, volume 4594 of Lecture Notes in Computer Science, page 252-256. Springer, (2007)Exploitation de reformulations pour l'acquisition d'un vocabulaire expert/non expert (Exploitation of reformulations for the acquisition of expert/non-expert vocabulary)., and . JEP-TALN-RECITAL (2), page 153-166. AFCP - ATALA, (2016)Prédiction automatique de fonctions pragmatiques dans les reformulations (Automatic prediction of pragmatic functions in reformulations)., and . JEP-TALN-RECITAL (2), page 262-275. AFCP - ATALA, (2016)Présentation de la campagne d'évaluation DEFT 2020 : similarité textuelle en domaine ouvert et extraction d'information précise dans des cas cliniques (Presentation of the DEFT 2020 Challenge : open domain textual similarity and precise information extraction from clinical cases )., , , and . JEP-TALN-RECITAL (DEFT), page 1-13. ATALA et AFCP, (2020)Exploring Graph Structure for Detection of Reliability Zones within Synonym Resources: Experiment with the Gene Ontology., and . BioNLP@HLT-NAACL, page 89-96. Association for Computational Linguistics, (2009)