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SVETLAN' or How to Classify Words Using Their Context.

, and . EKAW, volume 1937 of Lecture Notes in Computer Science, page 203-216. Springer, (2000)

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A French Medical Conversations Corpus Annotated for a Virtual Patient Dialogue System., , , , and . LREC, page 574-580. European Language Resources Association, (2020)Adapting VerbNet to French using existing resources., , and . LREC, page 1122-1126. European Language Resources Association (ELRA), (2014)Hybridation d'un agent conversationnel avec des plongements lexicaux pour la formation au diagnostic médical (Hybridization of a conversational agent with word embeddings for medical diagnostic training)., , , , and . PFIA (Articles courts), page 313-322. ATALA, (2019)Confronter des sources de connaissances différentes pour obtenir une réponse plus fiable., , , , , , , and . TALN (Articles longs), page 105-114. ATALA, (2003)Semantic Similarity To Improve Question Understanding in a Virtual Patient., , , , and . CoRR, (2019)Developing a French FrameNet: Methodology and First results., , , , , , , , , and 2 other author(s). LREC, page 1372-1379. European Language Resources Association (ELRA), (2014)X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents., , , , , , , , , and 9 other author(s). ACL (Findings), page 2773-2794. Association for Computational Linguistics, (2023)Evaluation with the VIRTUOSO platform: an open source platform for information extraction and retrieval evaluation., , , , , and . DESIRE@CIKM, page 13-18. ACM, (2011)WoNeF, an improved, expanded and evaluated automatic French translation of WordNet., , and . GWC, page 32-39. University of Tartu Press, (2014)SVETLAN' or How to Classify Words Using Their Context., and . EKAW, volume 1937 of Lecture Notes in Computer Science, page 203-216. Springer, (2000)