NeuralDialogPapers
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A list of papers about creating dialog systems using deep nets! Please feel free to add an issue or pull request for missing papers.
Joint Online Spoken Language Understanding and Language Modeling with Recurrent Neural Networks, Bing Liu, arXiv, 2016
Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling, Bing Liu, arXiv, 2016
A Network-based End-to-End Trainable Task-oriented Dialogue System Tsung-Hsien Wen et al, 2016
Conditional Generation and Snapshot Learning in Neural Dialogue Systems Tsung-Hsien Wen et al, 2016
Incorporating Unstructured Textual Knowledge Sources into Neural Dialogue Ryan Lowe et al., 2016
End-to-end LSTM-based dialog control optimized with supervised and reinforcement learning, Jason D. Williams et al., 2016
End-to-End Reinforcement Learning of Dialogue Agents for Information Access Bhuwan Dhingra et al., 2016
End-to-End Joint Learning of Natural Language Understanding and Dialogue Manager Xuesong Yang et al., 2016
Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning Jason D. Williams et al., 2017
Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings He He et al., 2017
Key-Value Retrieval Networks for Task-Oriented Dialogue M Eric et al., 2017
Deal or No Deal? End-to-End Learning for Negotiation Dialogues Mike Lewis et al., 2017
Generative Encoder-Decoder Models for Task-Oriented Spoken Dialog Systems with Chatting Capability Tiancheng Zhao et al., 2017
An End-to-End Trainable Neural Network Model with Belief Tracking for Task-Oriented Dialog Liu Bing et al., 2017
End-to-End Recurrent Entity Network for Entity-Value Independent Goal-Oriented Dialog Learning CS Wu et al 2017 )
Toward Continual Learning for Conversational Agents S Lee 2017
Building a Conversational Agent Overnight with Dialogue Self-Play Pararth Shah et al 2018
Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architecture Wenqiang Lei et al 2018
Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems Andrea Madotto et al 2018
Sub-domain Modelling for Dialogue Management with Hierarchical Reinforcement Learning Paweł et al., 2017
Cross-domain Dialogue Policy Transfer via Simultaneous Speech-act and Slot Alignment Kaixiang Mo et al. 2018
Zero-Shot Dialog Generation with Cross-Domain Latent Actions Tiancheng Zhao et al 2018
Agenda-Based User Simulation for Bootstrapping a POMDP Dialogue System Jost Schatzmann 2007
A User Simulator for Task-Completion Dialogues Xinjun Li et al., 2016
A Sequence-to-Sequence Model for User Simulation in Spoken Dialogue Systems Layla El Asri 2016
Neural User Simulation for Corpus-based Policy Optimisation for Spoken Dialogue Systems Florian L. Kreyssig 2018
Towards End-to-End Learning for Dialog State Tracking and Management using Deep Reinforcement Learning Tiancheng Zhao et al., 2016
Deep Reinforcement Learning for Dialogue Generation Jiwei Li et al., arXiv, 2016
Adversarial Learning for Neural Dialogue Generation Jiwei Li et al., 2017
A deep reinforcement learning chatbot Serban et al 2017
End-to-end Adversarial Learning for Generative Conversational Agents Ludwig, O. 2017.
Strategic Dialogue Management via Deep Reinforcement Learning Heriberto Cuayáhuitl et al., 2015
Generating Text with Deep Reinforcement Learning, Hongyu Guo, arXiv, 2015
Deep Reinforcement Learning with a Natural Language Action Space, Ji He et al., arXiv, 2016.
Language Understanding for Text-based Games using Deep Reinforcement Learning, Karthik Narasimhan arXiv, 2016
Deep reinforcement learning for dialogue generation Jiwei Li et al., 2016
End-to-end task-completion neural dialogue systems Xiujun Li et al., 2017
Sub-domain Modelling for Dialogue Management with Hierarchical Reinforcement Learning Paweł Budzianowski et al., 2017
Sample-efficient Actor-Critic Reinforcement Learning with Supervised Data for Dialogue Management Pei-Hao Su et al., 2017
Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning Baolin Peng et al., 2017
Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning Baolin Peng et al 2018
Multimodal Hierarchical Reinforcement Learning Policy for Task-Oriented Visual Dialog Jianping Zhang et al 2018
Adversarial Learning of Task-Oriented Neural Dialog Models Bing Liu et al 2018.
A Neural Conversational Model Oriol Vinyals et al., arXiv 2015]
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses∗ Alessandro Sordoni et al., arXiv 2015]
Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation Iulian Vlad Serban et al., arXiv 2016s
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues Iulian Vlad Serban et al., 2016
Online Sequence-to-Sequence Reinforcement Learning for Open-Domain Conversational Agents Nabiha Asghar et al., 2016
Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation
Multi-turn Dialogue Response Generation in an Adversarial Learning Framework - Combining GAN with MLE in the objective.
Improving Variational Encoder-Decoders in Dialogue Generation X Shen et al 2018.
MojiTalk: Generating Emotional Responses at Scale Xianda Zhou et al 2018
Exemplar Encoder-Decoder for Neural Conversation Generation Gaurav Pandey et al 2018
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.
Variational Autoregressive Decoder for Neural Response Generation Jiachen Du et al 2018.
Multi-view Response Selection for Human-Computer Conversation Xiangyang Zhou et al 2016
Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-based Chatbots Yu Wu 2017
Modeling multi-turn conversation with deep utterance aggregation Zhuosheng Zhang et al 2018
Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network Xiangyang Zhang et al 2018.
A Persona-Based Neural Conversation Model Jiwei Li et al, arXiv, 2016
Conversational Contextual Cues: The Case of Personalization and History for Response Ranking Rami Al-Rfou et al., 2016
Augmenting End-to-End Dialog Systems with Commonsense Knowledge Tom Young et al., 2017
Topic Compositional Neural Language Model W Wang et al 2017
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.
Teaching Machines to Read and Comprehend, Karl Moritz Hermann et al., arXiv, 2015.
Text Understanding with the Attention Sum Reader Network, Rudolf Kadlec et al., arXiv, 2016.
The Goldlocks Principle: Reading Children's Books With Explicit Memory Representations, Felix Hill., arXiv, 2016.
End-To-End Memory Networks, Sainbayar Sukhbaatar et al., arXiv, 2015.
Dynamic Entity Representation with Max-pooling Improves Machine Reading, Sosuke Kobayashi et al., arXiv, 2016.
Gated-Attention Readers for Text Comprehension, Bhuwan Dhingra et al., arXiv, 2016.
Iterative Alternating Neural Attention for Machine Reading, Alessandro Sordoni et al., arXiv, 2016.
A Neural Network Approach to Context-Senstive Generation of Conversational Responses, Alessandro Sordoni et al, 2015
Attention-over-Attention Neural Networks for Reading Comprehension Yiming Cui et al., arXiv 2016
Hierarchical Recurrent Attention Network for Response Generation Chen Xing et al., 2017
How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models Zhiliang Tian et al., 2017
Chat More: Deepening and Widening the Chatting Topic via A Deep Model Wenjie Wang et al., 2018
A Diversity-Promoting Objective Function for Neural Conversation Models Jiwei Li et al. 2016
A Simple, Fast Diverse Decoding Algorithm for Neural Generation Jiwei Li et al., 2016
Data Distillation for Controlling Specificity in Dialogue Generation Jiwei Li et al., 2017
Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models Louis Shao et al., 2017
Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders Tiancheng Zhao et al., 2017
Latent variable dialogue models and their diversity Cao, Kris et al 2017
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder Xiaodong Gu et al 2018
Towards a Neural Conversation Model with Diversity Net Using Determinantal Point Processes Yiping Song et al 2018
Latent intention dialogue models Tsung-Hsien Wen et al., 2017
Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation Tiancheng Zhao et al., 2018
Learning to Control the Specificity in Neural Response Generation Ruqing Zhang et al 2018.
