Neural Network Dialog System Papers
A list of papers about creating dialog systems using deep nets! Please feel free to add an issue or pull request for missing papers.
Bookmarks
- Task Bots
- General
- Multidomain & Domain Adaptation
- User Simulator
- Reinforcement Learning and Adversarial
- Chat Bots
- General
- Retrieval Methods
- Rich Dialog Context
- Diversity
- Inteprebility
Task Bots
General
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Joint Online Spoken Language Understanding and Language Modeling with Recurrent Neural Networks, Bing Liu, arXiv, 2016
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Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling, Bing Liu, arXiv, 2016
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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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Conditional Generation and Snapshot Learning in Neural Dialogue Systems Tsung-Hsien Wen et al, 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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End-to-End Reinforcement Learning of Dialogue Agents for Information Access Bhuwan Dhingra et al., 2016
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End-to-End Joint Learning of Natural Language Understanding and Dialogue Manager Xuesong Yang 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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Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings He He et al., 2017
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Key-Value Retrieval Networks for Task-Oriented Dialogue M Eric et al., 2017
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Deal or No Deal? End-to-End Learning for Negotiation Dialogues Mike Lewis et al., 2017
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Generative Encoder-Decoder Models for Task-Oriented Spoken Dialog Systems with Chatting Capability Tiancheng Zhao et al., 2017
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An End-to-End Trainable Neural Network Model with Belief Tracking for Task-Oriented Dialog Liu Bing et al., 2017
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End-to-End Recurrent Entity Network for Entity-Value Independent Goal-Oriented Dialog Learning CS Wu et al 2017 )
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Toward Continual Learning for Conversational Agents S Lee 2017
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Building a Conversational Agent Overnight with Dialogue Self-Play Pararth Shah et al 2018
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Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architecture Wenqiang Lei et al 2018
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Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems Andrea Madotto et al 2018
Multidomain & Domain Adaptation
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Sub-domain Modelling for Dialogue Management with Hierarchical Reinforcement Learning Paweł et al., 2017
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Cross-domain Dialogue Policy Transfer via Simultaneous Speech-act and Slot Alignment Kaixiang Mo et al. 2018
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Zero-Shot Dialog Generation with Cross-Domain Latent Actions Tiancheng Zhao et al 2018
User Simulator
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Agenda-Based User Simulation for Bootstrapping a POMDP Dialogue System Jost Schatzmann 2007
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A User Simulator for Task-Completion Dialogues Xinjun Li et al., 2016
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A Sequence-to-Sequence Model for User Simulation in Spoken Dialogue Systems Layla El Asri 2016
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Neural User Simulation for Corpus-based Policy Optimisation for Spoken Dialogue Systems Florian L. Kreyssig 2018
Reinforcement Learning and Adversarial
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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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Deep Reinforcement Learning for Dialogue Generation Jiwei Li et al., arXiv, 2016
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Adversarial Learning for Neural Dialogue Generation Jiwei Li et al., 2017
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A deep reinforcement learning chatbot Serban et al 2017
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End-to-end Adversarial Learning for Generative Conversational Agents Ludwig, O. 2017.
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Strategic Dialogue Management via Deep Reinforcement Learning Heriberto Cuayáhuitl et al., 2015
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Generating Text with Deep Reinforcement Learning, Hongyu Guo, arXiv, 2015
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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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Deep reinforcement learning for dialogue generation Jiwei Li et al., 2016
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End-to-end task-completion neural dialogue systems Xiujun Li et al., 2017
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Sub-domain Modelling for Dialogue Management with Hierarchical Reinforcement Learning Paweł Budzianowski et al., 2017
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Sample-efficient Actor-Critic Reinforcement Learning with Supervised Data for Dialogue Management Pei-Hao Su et al., 2017
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Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning Baolin Peng et al., 2017
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Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning Baolin Peng et al 2018
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Multimodal Hierarchical Reinforcement Learning Policy for Task-Oriented Visual Dialog Jianping Zhang et al 2018
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Adversarial Learning of Task-Oriented Neural Dialog Models Bing Liu et al 2018.
Chat Bots
General
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A Neural Conversational Model Oriol Vinyals et al., arXiv 2015]
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A Neural Network Approach to Context-Sensitive Generation of Conversational Responses∗ Alessandro Sordoni 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 Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues Iulian Vlad Serban et al., 2016
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Online Sequence-to-Sequence Reinforcement Learning for Open-Domain Conversational Agents Nabiha Asghar et al., 2016
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Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation
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Multi-turn Dialogue Response Generation in an Adversarial Learning Framework - Combining GAN with MLE in the objective.
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Improving Variational Encoder-Decoders in Dialogue Generation X Shen et al 2018.
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MojiTalk: Generating Emotional Responses at Scale Xianda Zhou et al 2018
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Exemplar Encoder-Decoder for Neural Conversation Generation Gaurav Pandey et al 2018
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Coupled Context Modeling for Deep Chit-Chat: Towards Conversations between Human and Computer(http://www.ruiyan.me/pubs/KDD2018Yan.pdf) Rui Yan et al KDD 2018.
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Variational Autoregressive Decoder for Neural Response Generation Jiachen Du et al 2018.
Retrieval Methods
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Multi-view Response Selection for Human-Computer Conversation Xiangyang Zhou et al 2016
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Modeling multi-turn conversation with deep utterance aggregation Zhuosheng Zhang et al 2018
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Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network Xiangyang Zhang et al 2018.
Rich Dialog Context
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A Persona-Based Neural Conversation Model 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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Augmenting End-to-End Dialog Systems with Commonsense Knowledge Tom Young et al., 2017
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Topic Compositional Neural Language Model W Wang et al 2017
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Personalizing Dialogue Agents: I have a dog, do you have pets too? Zhang, Saizheng, et al., 2018
Some of 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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Hierarchical Recurrent Attention Network for Response Generation Chen Xing et al., 2017
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How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models Zhiliang Tian et al., 2017
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Chat More: Deepening and Widening the Chatting Topic via A Deep Model Wenjie Wang et al., 2018
Diversity
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A Diversity-Promoting Objective Function for Neural Conversation Models Jiwei Li et al. 2016
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A Simple, Fast Diverse Decoding Algorithm for Neural Generation Jiwei Li et al., 2016
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Data Distillation for Controlling Specificity in Dialogue Generation Jiwei Li et al., 2017
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Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models Louis Shao et al., 2017
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Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders Tiancheng Zhao et al., 2017
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Latent variable dialogue models and their diversity Cao, Kris et al 2017
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DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder Xiaodong Gu et al 2018
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Towards a Neural Conversation Model with Diversity Net Using Determinantal Point Processes Yiping Song et al 2018
Inteprebility
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Latent intention dialogue models Tsung-Hsien Wen et al., 2017
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Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation Tiancheng Zhao et al., 2018
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Learning to Control the Specificity in Neural Response Generation Ruqing Zhang et al 2018.