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The Semantic Web from an Industry Perspective.

, , , , , , and . Reasoning Web, volume 4126 of Lecture Notes in Computer Science, page 232-268. Springer, (2006)

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Moteur de questions-réponses d'une base de connaissances., and . EGC, volume RNTI-E-20 of Revue des Nouvelles Technologies de l'Information, page 593-598. Hermann-Éditions, (2011)Abstract Representation for Multi-Intent Spoken Language Understanding., , , and . ICASSP, page 1-5. IEEE, (2023)Interprétation linguistique de requêtes pour un moteur de questions réponses grand public., and . CORIA, page 207-214. Éditions Universitaires d'Avignon, (2011)Intelligent Human Language Query Processing in Mkbeem., , and . HCI (4), page 750-754. Lawrence Erlbaum, (2003)MaskParse@Deskin at SemEval-2019 Task 1: Cross-lingual UCCA Semantic Parsing using Recursive Masked Sequence Tagging., , and . SemEval@NAACL-HLT, page 107-112. Association for Computational Linguistics, (2019)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)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)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)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)Hybrid Enhanced Universal Dependencies Parsing.. IWPT 2020, page 174-180. Association for Computational Linguistics, (2020)