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Neural approaches to dialog modeling

Neural approaches to dialog modeling

Cette thèse par article se compose de quatre articles qui contribuent au domaine de l’apprentissage profond, en particulier dans la compréhension et l’apprentissage des ap- proches neuronales des systèmes de dialogue. Le premier article fait un pas vers la compréhension si les architectures de dialo...

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Bibliographic Details
Main Author: Sankar, Chinnadhurai
Other Authors: Bengio, Yoshua
Language:English
Published: 2021
Subjects:
task-oriented dialog systems
dialog-acts
multiwoz
locality sensitive hashing
self-attention
recurrent networks
neural networks
deep learning
natural language processing
reinforcement learning
machine learning
Systèmes de dialogue axés sur les tâches
Actes de dialogue
Hachage sensible àla localité
Auto-attention
Inférence en langage naturel
Analyse dessentiments
Graphique de calcul dynamique
Réseaux récurrents
Réseaux récursifs
Réseaux de neurones
Apprentissage profond
Naturel traitement du langage
Apprentissage par renforcement
Apprentissage automatique
Dynamic computational graph
Recursive networks
Wizard-of-oz
Natural language inference
Sentiment analysis
Communications and the Arts - Information Science / Communications et les arts - Sciences de l’information (UMI : 0723)
Online Access:http://hdl.handle.net/1866/24802
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Internet

http://hdl.handle.net/1866/24802

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