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Multimodal Coarticulation Modeling : Towards the animation of an intelligible talking head ; Modélisation de la coarticulation multimodale : vers l'animation d'une tête parlante intelligible
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In: https://hal.univ-lorraine.fr/tel-03203815 ; Intelligence artificielle [cs.AI]. Université de Lorraine, 2021. Français. ⟨NNT : 2021LORR0019⟩ (2021)
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Conversational Language Learning for Human-Robot Interaction
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Enhancing the Reasoning Capabilities of Natural Language Inference Models with Attention Mechanisms and External Knowledge
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Advances in deep learning methods for speech recognition and understanding
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Deep neural networks for natural language processing and its acceleration
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Learning Long Temporal Sequences in Spiking Networks by Multiplexing Neural Oscillations
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INCREMENTAL PREDICTION OF SENTENCE-FINAL VERBS WITH ATTENTIVE RECURRENT NEURAL NETWORKS ...
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LI, Wenyan. - : Digital Repository at the University of Maryland, 2018
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Recurrent Neural Network Language Generation for Dialogue Systems
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Wen, Tsung-Hsien. - : University of Cambridge, 2018. : Engineering, 2018. : Darwin College, 2018
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Learning and time : on using memory and curricula for language understanding
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INCREMENTAL PREDICTION OF SENTENCE-FINAL VERBS WITH ATTENTIVE RECURRENT NEURAL NETWORKS
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Deep Neural Networks and Hardware Systems for Event-driven Data
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Natural-language video description with deep recurrent neural networks
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Extraction de phrases parallèles à partir d’un corpus comparable avec des réseaux de neurones récurrents bidirectionnels
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Natural language acquisition in recurrent neural architectures ; Erwerb von natürlicher Sprache in rekurrenten neuronalen Architekturen
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Heinrich, Stefan. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2016
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Neural Network Generation of Temporal Sequences from Single Static Vector Inputs using Varying Length Distal Target Sequences
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Learning to detect named entities in bilingual code-mixed open speech corpora
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