awesome deep learning papers for dialog systems
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Distributed Representations of Words and Phrases and Their Compositionality [Tomas Mikolov et al., 2013]
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Efficient Estimation of Word Representations in Vector Space [Tomas Mikolov et al., 2013]
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Neural Machine Translation by Jointly Learning to Align and Translate [Dzmitry Bahdanau et al., 2014]
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Effective Approaches to Attention-based Neural Machine Translation [Minh-Thang Luong et al., 2015]
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Attention with Intention for a Neural Network Conversation Model[Kaisheng Yao et al., 2015]
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Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models [Iulian V. Serban et al., 2015]
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A Neural Network Approach to Context-Sensitive Generation of Conversational Responses [Alessandro Sordoni et al., 2015]
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Teaching Machines to Read and Comprehend [Karl Moritz Hermann et al., 2015]
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A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues [Iulian Vlad Serban et al., 2016]
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Sequence to Sequence Learning with Neural Networks [Ilya Sutskever et al., arXiv 2014]
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Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation [Kyunghyun Cho et al., arXiv 2014]
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A Neural Conversational Model [Oriol Vinyals et al., 2015]
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A Persona-Based Neural Conversation Model [Jiwei Li et al, 2016]
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Adversarial Learning for Neural Dialogue Generation [Jiwei Li et al, 2017]
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A Network-based End-to-End Trainable Task-oriented Dialogue System [Tsung-Hsien Wen et al, 2016]
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End-to-end LSTM-based dialog control optimized with supervised and reinforcement learning [Jason D. Williams et al., 2016]
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Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning [Jason D. Williams et al., 2017]
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Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access [Bhuwan Dhingra et al., 2016]
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Towards End-to-End Learning for Dialog State Tracking and Management using Deep Reinforcement Learning [Tiancheng Zhao et al., 2016]
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End-to-End Joint Learning of Natural Language Understanding and Dialogue Manager [Xuesong Yang et al., 2017]
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End-to-End Task-Completion Neural Dialogue Systems [Xiujun Li et al., 2017]
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Multi-Domain Joint Semantic Frame Parsing using Bi-directional RNN-LSTM [Dilek Hakkani-Tür et al., 2016]
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Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling [Bing Liu et al., 2016]
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Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding [Grégoire Mesnil et al., 2015]
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Deep Speech: Scaling up end-to-end speech recognition [Awni Hannun et al., 2014]
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Deep Speech 2: End-to-End Speech Recognition in English and Mandarin [Dario Amodei et al., 2015]
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Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition [Haşim Sak et al., 2015]
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Towards End-to-End Speech Recognition with Recurrent Neural Networks [Alex Graves et al., 2014]
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Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks [Ying Zhang et al., 2017]
- Deep Voice: Real-time Neural Text-to-Speech [Sercan O. Arik et al., 2017]
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SMALL-FOOTPRINT KEYWORD SPOTTING USING DEEP NEURAL NETWORKS [Guoguo Chen et al., 2014]
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Convolutional Neural Networks for Small-footprint Keyword Spotting [Tara N et al., 2015]
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An End-to-End Architecture for Keyword Spotting and Voice Activity Detection [Chris Lengerich et al., 2016]
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Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting [Sercan O.et al., 2017]