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

, , , , , , и . EDA, том B-18 из RNTI, стр. 73-79. Editions RNTI, (2022)

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Hélène Esnault

Hélène Bernatchez

Monika Nöcker-Ribaupierre

Hélène Martinez

Hélène Leroux

 

Другие публикации лиц с тем же именем

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