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Automated Personalized Feedback Improves Learning Gains in an Intelligent Tutoring System
We investigate how automated, data-driven, personalized feedback in a la...
05/05/2020 ∙ by Ekaterina Kochmar, et al. ∙
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A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM
We present Korbit, a large-scale, open-domain, mixed-interface, dialogue...
05/06/2020 ∙ by Iulian Vlad Serban, et al. ∙
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Generative Deep Neural Networks for Dialogue: A Short Review
Researchers have recently started investigating deep neural networks for...
11/18/2016 ∙ by Iulian Vlad Serban, et al. ∙
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Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation
We introduce the multiresolution recurrent neural network, which extends...
06/02/2016 ∙ by Iulian Vlad Serban, et al. ∙
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A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues
Sequential data often possesses a hierarchical structure with complex de...
05/19/2016 ∙ by Iulian Vlad Serban, et al. ∙
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Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus
Over the past decade, large-scale supervised learning corpora have enabl...
03/22/2016 ∙ by Iulian Vlad Serban, et al. ∙
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A Survey of Available Corpora for Building Data-Driven Dialogue Systems
During the past decade, several areas of speech and language understandi...
12/17/2015 ∙ by Iulian Vlad Serban, et al. ∙
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Theano: A Python framework for fast computation of mathematical expressions
Theano is a Python library that allows to define, optimize, and evaluate...
05/09/2016 ∙ by The Theano Development Team, et al. ∙
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The Bottleneck Simulator: A Model-based Deep Reinforcement Learning Approach
Deep reinforcement learning has recently shown many impressive successes...
07/12/2018 ∙ by Iulian Vlad Serban, et al. ∙
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