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Creating Expert Knowledge by Relying on Language Learners: a Generic Approach for Mass-Producing Language Resources by Combining Implicit Crowdsourcing and Language Learning.

, , , , , , , , , , , , , , , , , and . LREC, page 268-278. European Language Resources Association, (2020)

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Ethical Internal Logistics 4.0: Observations and Suggestions from a Working Internal Logistics Case., and . SOHOMA, volume 1083 of Studies in Computational Intelligence, page 317-328. Springer, (2022)Vers l'annotation par le jeu de corpus (plus) complexes : le cas de la langue de spécialité (Towards (more) complex corpora annotation using a game with a purpose : the case of scientific language)., , , , , , , and . TALN (2), page 165-173. ATALA, (2017)FENEC : un corpus équilibré pour l'évaluation des entités nommées en français (FENEC : a balanced sample corpus for French named entity recognition )., , , and . TALN-RECITAL, page 82-94. ATALA, (2022)Quantification Annotation in ISO 24617-12, Second Draft., , , , , , , , , and 2 other author(s). LREC, page 3407-3416. European Language Resources Association, (2022)Reviewing Natural Language Processing Research., , , and . ACL (tutorial), page 16-18. Association for Computational Linguistics, (2020)Creating Expert Knowledge by Relying on Language Learners: a Generic Approach for Mass-Producing Language Resources by Combining Implicit Crowdsourcing and Language Learning., , , , , , , , , and 8 other author(s). LREC, page 268-278. European Language Resources Association, (2020)Investigating Dominant Word Order on Universal Dependencies with Graph Rewriting., , , and . RANLP, page 281-290. INCOMA Ltd., (2021)CLISTER : Un corpus pour la similarité sémantique textuelle dans des cas cliniques en français (CLISTER : A Corpus for Semantic Textual Similarity in French Clinical Narratives)., , , and . TALN-RECITAL, page 287-296. ATALA, (2022)Vers une méthodologie d'annotation des entités nommées en corpus ?, , and . TALN (Articles longs), page 281-290. ATALA, (2009)The Elephant in the Room: Analyzing the Presence of Big Tech in Natural Language Processing Research., , , , , , and . ACL (1), page 13141-13160. Association for Computational Linguistics, (2023)