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The SENSEI Project: Making Sense of Human Conversations.

, , , , , , and . FETLT, volume 9577 of Lecture Notes in Computer Science, page 10-33. Springer, (2015)

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Exploring Social Sciences Archives with Explainable Document Linkage through Question Generation, , , , , and . (2021)Dynamic selection of language models in a dialogue system., , and . INTERSPEECH, page 214-217. ISCA, (2000)The Impact of Z_score on Twitter Sentiment Analysis., , and . SemEval@COLING, page 636-641. The Association for Computer Linguistics, (2014)CALOR-QUEST : generating a training corpus for Machine Reading Comprehension models from shallow semantic annotations., , , , , , and . MRQA@EMNLP, page 19-26. Association for Computational Linguistics, (2019)Automatic Lexicon Enhancement by Means of Corpus Tagging., , and . Real Applications@ACL/EACL, Association for Computational Linguistics, (1997)Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters., , , , and . EACL, page 727-736. Association for Computational Linguistics, (2023)Visual Disambiguation of Prepositional Phrase Attachments: Multimodal Machine Learning for Syntactic Analysis Correction., , , , and . IWANN (1), volume 11506 of Lecture Notes in Computer Science, page 632-643. Springer, (2019)Étiquetage ou génération de séquences pour la compréhension automatique du langage en contexte d'interaction? (Sequence tagging or sequence generation for Natural Language Understanding ?)., , , and . TALN-RECITAL, page 64-73. ATALA, (2022)Modèles de langage hiérarchiques pour les applications de dialogue en parole spontanée., , and . TALN (Posters), page 325-330. ATALA, (2001)CALOR-QUEST : un corpus d'entraînement et d'évaluation pour la compréhension automatique de textes (Machine reading comprehension is a task related to Question-Answering where questions are not generic in scope but are related to a particular document)., , , , , , and . PFIA (Articles courts), page 185-194. ATALA, (2019)