A list of paper about the topic in the title
Mostly the models are evaluated at CNN/Daily Mail and Children's Book Test (CBT) corpora.
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Teaching Machines to Read and Comprehend, Karl Moritz Hermann et al., arXiv, 2015.
- Deep LSTM/Attentive Reader/Impatient Reader
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Text Understanding with the Attention Sum Reader Network, Rudolf Kadlec et al., arXiv, 2016.
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The Goldlocks Principle: Reading Children's Books With Explicit Memory Representations, Felix Hill., arXiv, 2016.
- Memory Network
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End-To-End Memory Networks, Sainbayar Sukhbaatar et al., arXiv, 2015.
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Dynamic Entity Representation with Max-pooling Improves Machine Reading, Sosuke Kobayashi et al., arXiv, 2016.
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Gated-Attention Readers for Text Comprehension, Bhuwan Dhingra et al., arXiv, 2016.
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Iterative Alternating Neural Attention for Machine Reading, Alessandro Sordoni et al., arXiv, 2016.
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A Neural Network Approach to Context-Senstive Generation of Conversational Responses, Alessandro Sordoni et al, 2015
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Attention-over-Attention Neural Networks for Reading Comprehension Yiming Cui et al., arXiv 2016
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A Network-based End-to-End Trainable Task-oriented Dialogue System Tsung-Hsien Wen, 2016
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Incorporating Unstructured Textual Knowledge Sources into Neural Dialogue Ryan Lowe 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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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 Reinforcement Learning of Dialogue Agents for Information Access Bhuwan Dhingra et al., 2016
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A Neural Conversational Model Oriol Vinyals et al., arXiv 2015]
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Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation Iulian Vlad Serban et al., arXiv 2016s
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A Persona-Based Neural Conversation Model Jiwei Li et al, arXiv, 2016
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A Diversity-Promoting Objective Function for Neural Conversation Models Jiwei Li et al. 2016
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Deep Reinforcement Learning for Dialogue Generation Jiwei Li et al., arXiv, 2016
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Conversational Contextual Cues: The Case of Personalization and History for Response Ranking Rami Al-Rfou et al., 2016
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A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues Iulian Vlad Serban et al., 2016
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Deep Reinforcement Learning with a Natural Language Action Space, Ji He et al., arXiv, 2016.
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Language Understanding for Text-based Games using Deep Reinforcement Learning, Karthik Narasimhan arXiv, 2016
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Generating Text with Deep Reinforcement Learning, Hongyu Guo, arXiv, 2015