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Architecture basée sur les mécanismes d'attention: le cas de la génération de questions neuronales.

, , and . CORIA, ARIA, (2019)

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A user behavior model for average precision and its generalization to graded judgments., and . SIGIR, page 531-538. ACM, (2010)Quantum Mechanics and Information Retrieval: From Theory to Application., and . ICTIR, page 1. ACM, (2013)Evaluation in (XML) information retrieval: expected precision-recall with user modelling (EPRUM)., and . SIGIR, page 260-267. ACM, (2006)Simple Domain Adaptation for Sparse Retrievers., , , , and . CoRR, (2024)On the Study of Transformers for Query Suggestion., , and . ACM Trans. Inf. Syst., 40 (1): 18:1-18:27 (2022)Learning Representation for Information Access.. (2020)Choisir le bon co-équipier pour la génération coopérative de texte (Choosing The Right Teammate For Cooperative Text Generation)., , , , , , and . TALN-RECITAL, page 12-26. ATALA, (2022)Skim-Attention: Learning to Focus via Document Layout., , , and . EMNLP (Findings), page 2413-2427. Association for Computational Linguistics, (2021)XpmIR: A Modular Library for Learning to Rank and Neural IR Experiments., and . SIGIR, page 3185-3189. ACM, (2023)IRnator: A Framework for Discovering Users Needs from Sets of Suggestions., , and . ICTIR, page 138-143. ACM, (2022)