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ASSIST: Outil pour l'extraction et l'analyse statistique d'articles.

, , , , , , and . EDA, volume B-18 of RNTI, page 73-79. Editions RNTI, (2022)

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Go Simple and Pre-Train on Domain-Specific Corpora: On the Role of Training Data for Text Classification., , , and . COLING, page 5522-5529. International Committee on Computational Linguistics, (2020)User-centric design and evaluation of a semantic annotation model for scientific documents., and . I-KNOW, page 40:1-40:6. ACM, (2014)Crowdsourcing Real-World Feedback for Human-Computer Interaction Education., , , , , , and . Macrotask Crowdsourcing, Springer, (2019)Un modèle d'annotation sémantique centré sur les utilisateurs de documents scientifiques : cas d'utilisation dans les études genre., and . IC, page 99-104. (2014)A user-centric model to semantically annotate and retrieve scientific documents., and . ESAIR, page 21-24. ACM, (2013)Extracting discourse elements and annotating scientific documents using the SciAnnotDoc model: a use case in gender documents., and . Int. J. Digit. Libr., 19 (2-3): 271-286 (2018)An Automated Annotation Process for the SciDocAnnot Scientific Document Model., and . SDA@TPDL, volume 1529 of CEUR Workshop Proceedings, page 30-41. CEUR-WS.org, (2015)Predicting Themes within Complex Unstructured Texts: A Case Study on Safeguarding Reports., , , , and . DeepOntoNLP/X-SENTIMENT@ESWC, volume 2918 of CEUR Workshop Proceedings, page 1-10. CEUR-WS.org, (2021)EGC, une conférence qui supporte la diversité genrée?. EGC, volume E-36 of RNTI, page 381-388. Éditions RNTI, (2020)ASSIST: Outil pour l'extraction et l'analyse statistique d'articles., , , , , , and . EDA, volume B-18 of RNTI, page 73-79. Editions RNTI, (2022)