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Due to the significance and value in human-computer interaction and natural language processing, task-oriented dialog systems are attracting more and more attention in both academic and industrial communities.
An iterative design methodology for user-friendly natural language office information applications
John F Kelley · 1984
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Paradise: A framework for evaluating spoken dialogue agents
Marilyn Walker, Diane Litman, Candace A Kamm, and Alicia Abella · 1997
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Scaling up pomdps for dialog management: The“summary pomdp”method
Jason D Williams and Steve Young · 2005
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Using pomdps for dialog management
Steve Young · 2006
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Agenda-based user simulation for bootstrapping a pomdp dialogue system
Jost Schatzmann, Blaise Thomson, Karl Weilhammer, Hui Ye, and Steve Young · 2007
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Artificial Intelligence: foundations of computational agents
David L Poole and Alan K Mackworth · 2010
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Predicting user satisfaction in spoken dialog system evaluation with collaborative filtering
Zhaojun Yang, Gina-Anne Levow, and Helen Meng · 2012
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Playing atari with deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin Riedmiller · 2013
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Recurrent neural networks for language understanding
Kaisheng Yao, Geoffrey Zweig, Mei-Yuh Hwang, Yangyang Shi, and Dong Yu · 2013
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Convolutional neural network based triangular CRF for joint intent detection and slot filling
Puyang Xu and Ruhi Sarikaya · 2013
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Pomdp-based statistical spoken dialog systems: A review
Steve Young, Milica Gašić, Blaise Thomson, and Jason D Williams · 2013
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A survey on metrics for the evaluation of user simulations
Olivier Pietquin and Helen Hastie · 2013
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The dialog state tracking challenge
Jason D Williams, Antoine Raux, Deepak Ramachandran, and Alan W Black · 2013
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Deep neural network approach for the dialog state tracking challenge
Matthew Henderson, Blaise Thomson, and Steve Young · 2013
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Spoken language understanding using long short-term memory neural networks
Kaisheng Yao, Baolin Peng, Yu Zhang, Dong Yu, Geoffrey Zweig, and Yangyang Shi · 2014
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Joint semantic utterance classification and slot filling with recursive neural networks
Daniel Guo, Gökhan Tür, Wen-tau Yih, and Geoffrey Zweig · 2014
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Recurrent conditional random field for language understanding
Kaisheng Yao, Baolin Peng, Geoffrey Zweig, Dong Yu, Xiaolong Li, and Feng Gao · 2014
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Word-based dialog state tracking with recurrent neural networks
Matthew Henderson, Blaise Thomson, and Steve Young · 2014
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The second dialog state tracking challenge
Matthew Henderson, Blaise Thomson, and Jason D Williams · 2014
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Multi-domain dialog state tracking using recurrent neural networks
Nikola Mrkšić, Diarmuid Ó Séaghdha, Blaise Thomson, Milica Gašić, Pei-Hao Su, David Vandyke, Tsung-Hsien Wen, and Steve Young · 2015
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Human-level control through deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski, et al · 2015
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Semantically conditioned LSTM-based natural language generation for spoken dialogue systems
Tsung-Hsien Wen, Milica Gašić, Nikola Mrkšić, Pei-Hao Su, David Vandyke, and Steve Young · 2015
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Pointer networks
Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly · 2015
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Mastering the game of go with deep neural networks and tree search
David Silver, Aja Huang, Chris J Maddison, Arthur Guez, Laurent Sifre, George Van Den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, et al · 2016
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Multi-domain joint semantic frame parsing using bi-directional RNN-LSTM
Dilek Hakkani-Tür, Gökhan Tür, Asli Çelikyilmaz, Yun-Nung Chen, Jianfeng Gao, Li Deng, and Ye-Yi Wang · 2016
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Attention-based recurrent neural network models for joint intent detection and slot filling
Bing Liu and Ian Lane · 2016
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A user simulator for task-completion dialogues
Xiujun Li, Zachary C Lipton, Bhuwan Dhingra, Lihong Li, Jianfeng Gao, and Yun-Nung Chen · 2016
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Deep learning
Ian Goodfellow, Yoshua Bengio, and Aaron Courville · 2016
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Tiancheng Zhao and Maxine Eskenazi · 2016
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Towards end-to-end reinforcement learning of dialogue agents for information access
Bhuwan Dhingra, Lihong Li, Xiujun Li, Jianfeng Gao, Yun-Nung Chen, Faisal Ahmed, and Li Deng · 2016
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On-line active reward learning for policy optimisation in spoken dialogue systems
Pei-Hao Su, Milica Gašić, Nikola Mrkšić, Lina M. Rojas-Barahona, Stefan Ultes, David Vandyke, Tsung-Hsien Wen, and Steve Young · 2016
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A sequence-to-sequence model for user simulation in spoken dialogue systems
Layla El Asri, Jing He, and Kaheer Suleman · 2016
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Incorporating copying mechanism in sequence-to-sequence learning
Jiatao Gu, Zhengdong Lu, Hang Li, and Victor OK Li · 2016
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Neural symbolic machines: Learning semantic parsers on freebase with weak supervision
Chen Liang, Jonathan Berant, Quoc Le, Kenneth D Forbus, and Ni Lao · 2016
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A survey on dialogue systems: Recent advances and new frontiers
Hongshen Chen, Xiaorui Liu, Dawei Yin, and Jiliang Tang · 2017
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Neural belief tracker: Data-driven dialogue state tracking
Nikola Mrkšić, Diarmuid Ó Séaghdha, Tsung-Hsien Wen, Blaise Thomson, and Steve Young · 2017
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End-to-end offline goal-oriented dialog policy learning via policy gradient
Li Zhou, Kevin Small, Oleg Rokhlenko, and Charles Elkan · 2017
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Composite task-completion dialogue policy learning via hierarchical deep reinforcement learning
Baolin Peng, Xiujun Li, Lihong Li, Jianfeng Gao, Asli Celikyilmaz, Sungjin Lee, and Kam-Fai Wong · 2017
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A network-based end-to-end trainable task-oriented dialogue system
Tsung-Hsien Wen, David Vandyke, Nikola Mrkšić, Milica Gasic, Lina M Rojas Barahona, Pei-Hao Su, Stefan Ultes, and Steve Young · 2017
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Learning end-to-end goal-oriented dialog
Antoine Bordes, Y-Lan Boureau, and Jason Weston · 2017
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Key-value retrieval networks for task-oriented dialogue
Mihail Eric, Lakshmi Krishnan, Francois Charette, and Christopher D Manning · 2017
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Hybrid code networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning
Jason D. Williams, Kavosh Asadi, and Geoffrey Zweig · 2017
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End-to-end task-completion neural dialogue systems
Xiujun Li, Yun-Nung Chen, Lihong Li, Jianfeng Gao, and Asli Celikyilmaz · 2017
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Iterative policy learning in end-to-end trainable task-oriented neural dialog models
Bing Liu and Ian Lane · 2017
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Pydial: A multi-domain statistical dialogue system toolkit
Stefan Ultes, Lina M Rojas Barahona, Pei-Hao Su, David Vandyke, Dongho Kim, Inigo Casanueva, Paweł Budzianowski, Nikola Mrkšić, Tsung-Hsien Wen, Milica Gasic, et al · 2017
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Frames: a corpus for adding memory to goal-oriented dialogue systems
Layla El Asri, Hannes Schulz, Shikhar Kr Sarma, Jeremie Zumer, Justin Harris, Emery Fine, Rahul Mehrotra, and Kaheer Suleman · 2017
Cited alongside, same era.
Scalable multi-domain dialogue state tracking
Abhinav Rastogi, Dilek Hakkani-Tür, and Larry Heck · 2017
Cited alongside, same era.
Fine grained knowledge transfer for personalized task-oriented dialogue systems
Kaixiang Mo, Yu Zhang, Qiang Yang, and Pascale Fung · 2017
Cited alongside, same era.
Model-agnostic meta-learning for fast adaptation of deep networks
Chelsea Finn, Pieter Abbeel, and Sergey Levine · 2017
Cited alongside, same era.
Sequence to sequence modeling for user simulation in dialog systems
Paul A Crook and Alex Marin · 2017
Cited alongside, same era.
Affordable on-line dialogue policy learning
Semantically conditioned dialog response generation via hierarchical disentangled self-attention
Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, and William Yang Wang · 2019
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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BERT for joint intent classification and slot filling
Qian Chen, Zhu Zhuo, and Wen Wang · 2019
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Multi-lingual intent detection and slot filling in a joint bert-based model
Giuseppe Castellucci, Valentina Bellomaria, Andrea Favalli, and Raniero Romagnoli · 2019
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Sumbt: Slot-utterance matching for universal and scalable belief tracking
Hwaran Lee, Jinsik Lee, and Tae-Yoon Kim · 2019
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Cheng Chang, Runzhe Yang, Lu Chen, Xiang Zhou, and Kai Yu · 2017
Cited alongside, same era.
Agent-aware dropout dqn for safe and efficient on-line dialogue policy learning
Lu Chen, Xiang Zhou, Cheng Chang, Runzhe Yang, and Kai Yu · 2017
Cited alongside, same era.
Simpleds: A simple deep reinforcement learning dialogue system
Heriberto Cuayáhuitl · 2017
Cited alongside, same era.
Deal or no deal? end-to-end learning of negotiation dialogues
Mike Lewis, Denis Yarats, Yann Dauphin, Devi Parikh, and Dhruv Batra · 2017
Cited alongside, same era.
Hierarchical text generation and planning for strategic dialogue
Denis Yarats and Mike Lewis · 2017
Cited alongside, same era.
A copy-augmented sequence-to-sequence architecture gives good performance on task-oriented dialogue
Mihail Eric and Christopher D Manning · 2017
Cited alongside, same era.
Neural-symbolic machine learning for retrosynthesis and reaction prediction
Marwin HS Segler and Mark P Waller · 2017
Cited alongside, same era.
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Dialog state tracking: A neural reading comprehension approach
Shuyang Gao, Abhishek Sethi, Sanchit Agarwal, Tagyoung Chung, and Dilek Hakkani-Tur · 2019
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Find or classify? dual strategy for slot-value predictions on multi-domain dialog state tracking
Jian-Guo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, Yao Wan, Philip S Yu, Richard Socher, and Caiming Xiong · 2019
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Scalable and accurate dialogue state tracking via hierarchical sequence generation
Liliang Ren, Jianmo Ni, and Julian McAuley · 2019
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Multi-domain dialogue state tracking as dynamic knowledge graph enhanced question answering
Li Zhou and Kevin Small · 2019
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How to build user simulators to train RL-based dialog systems
Weiyan Shi, Kun Qian, Xuewei Wang, and Zhou Yu · 2019
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Switch-based active deep dyna-q: Efficient adaptive planning for task-completion dialogue policy learning
Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, and Yiming Yang · 2019
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Collaborative multi-agent dialogue model training via reinforcement learning
Alexandros Papangelis, Yi-Chia Wang, Piero Molino, and Gokhan Tur · 2019
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Convlab: Multi-domain end-to-end dialog system platform
Sungjin Lee, Qi Zhu, Ryuichi Takanobu, Zheng Zhang, Yaoqin Zhang, Xiang Li, Jinchao Li, Baolin Peng, Xiujun Li, Minlie Huang, et al · 2019
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Guided dialog policy learning: Reward estimation for multi-domain task-oriented dialog
Ryuichi Takanobu, Hanlin Zhu, and Minlie Huang · 2019
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Multi-domain goal-oriented dialogues (multidogo): Strategies toward curating and annotating large scale dialogue data
Denis Peskov, Nancy Clarke, Jason Krone, Brigi Fodor, Yi Zhang, Adel Youssef, and Mona Diab · 2019
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Taskmaster-1: Toward a realistic and diverse dialog dataset
Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Ben Goodrich, Daniel Duckworth, Semih Yavuz, Amit Dubey, Kyu-Young Kim, and Andy Cedilnik · 2019
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Cosql: A conversational text-to-sql challenge towards cross-domain natural language interfaces to databases
Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, et al · 2019
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Meta-learning for low-resource natural language generation in task-oriented dialogue systems
Fei Mi, Minlie Huang, Jiyong Zhang, and Boi Faltings · 2019
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Domain adaptive dialog generation via meta learning
Kun Qian and Zhou Yu · 2019
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Personalizing dialogue agents via meta-learning
Andrea Madotto, Zhaojiang Lin, Chien-Sheng Wu, and Pascale Fung · 2019
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Unsupervised dialogue spectrum generation for log dialogue ranking
Xinnuo Xu, Yizhe Zhang, Lars Liden, and Sungjin Lee · 2019
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Unsupervised dialog structure learning
Weiyan Shi, Tiancheng Zhao, and Zhou Yu · 2019
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Transfertransfo: A transfer learning approach for neural network based conversational agents
Thomas Wolf, Victor Sanh, Julien Chaumond, and Clement Delangue · 2019
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Pawel Budzianowski and Ivan Vulic · 2019
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Memory-augmented dialogue management for task-oriented dialogue systems
Zheng Zhang, Minlie Huang, Zhongzhou Zhao, Feng Ji, Haiqing Chen, and Xiaoyan Zhu · 2019
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Neural multimodal belief tracker with adaptive attention for dialogue systems
Zheng Zhang, Lizi Liao, Minlie Huang, Xiaoyan Zhu, and Tat-Seng Chua · 2019
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Towards end-to-end learning for efficient dialogue agent by modeling looking-ahead ability
Zhuoxuan Jiang, Xian-Ling Mao, Ziming Huang, Jie Ma, and Shaochun Li · 2019
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Global-to-local memory pointer networks for task-oriented dialogue
Chien-Sheng Wu, Richard Socher, and Caiming Xiong · 2019
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Task-oriented conversation generation using heterogeneous memory networks
Zehao Lin, Xinjing Huang, Feng Ji, Haiqing Chen, and Ying Zhang · 2019
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Entity-consistent end-to-end task-oriented dialogue system with kb retriever
Libo Qin, Yijia Liu, Wanxiang Che, Haoyang Wen, Yangming Li, and Ting Liu · 2019
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Pretraining methods for dialog context representation learning
Shikib Mehri, Evgeniia Razumovsakaia, Tiancheng Zhao, and Maxine Eskenazi · 2019
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Multi-granularity representations of dialog
Shikib Mehri and Maxine Eskenazi · 2019
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Challenges in building intelligent open-domain dialog systems
Minlie Huang, Xiaoyan Zhu, and Jianfeng Gao · 2020
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Machine reading method for dialog state tracking, January 21 2020
Julien Perez · 2020
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Multi-agent task-oriented dialog policy learning with role-aware reward decomposition
Ryuichi Takanobu, Runze Liang, and Minlie Huang · 2020
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Few-shot natural language generation for task-oriented dialog
Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, and Jianfeng Gao · 2020
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Ryuichi Takanobu, Qi Zhu, Jinchao Li, Baolin Peng, Jianfeng Gao, and Minlie Huang · 2020
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ConvLab-2: An open-source toolkit for building, evaluating, and diagnosing dialogue systems
Qi Zhu, Zheng Zhang, Yan Fang, Xiang Li, Ryuichi Takanobu, Jinchao Li, Baolin Peng, Jianfeng Gao, Xiaoyan Zhu, and Minlie Huang · 2020
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Results of the multi-domain task-completion dialog challenge
Jinchao Li, Baolin Peng, Sungjin Lee, Jianfeng Gao, Ryuichi Takanobu, Qi Zhu, Minlie Huang, Hannes Schulz, Adam Atkinson, and Mahmoud Adada · 2020
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Crosswoz: A large-scale chinese cross-domain task-oriented dialogue dataset
Qi Zhu, Kaili Huang, Zheng Zhang, Xiaoyan Zhu, and Minlie Huang · 2020
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Towards scalable multi-domain conversational agents: The schema-guided dialogue dataset
Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta, and Pranav Khaitan · 2020
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Schema-guided multi-domain dialogue state tracking with graph attention neural networks
Lu Chen, Boer Lv, Chi Wang, Su Zhu, Bowen Tan, and Kai Yu · 2020
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Goal-oriented multi-task bert-based dialogue state tracker
Pavel Gulyaev, Eugenia Elistratova, Vasily Konovalov, Yuri Kuratov, Leonid Pugachev, and Mikhail Burtsev · 2020
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Out-of-domain detection for natural language understanding in dialog systems
Yinhe Zheng, Guanyi Chen, and Minlie Huang · 2020
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