Fetching the paper…
Reading the bibliography…
We present ConvLab-2, an open-source toolkit that enables researchers to build task-oriented dialogue systems with state-of-the-art models, perform an end-to-end evaluation, and diagnose the weakness of systems.
Multiwoz 2.1: Multi-domain dialogue state corrections and state tracking baselines
Mihail Eric, Rahul Goel, Shachi Paul, Abhishek Sethi, Sanchit Agarwal, Shuyag Gao, and Dilek Hakkani-Tur. 2019 · 1907
Earlier work this paper cites.
Towards scalable multi-domain conversational agents: The schema-guided dialogue dataset
Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta, and Pranav Khaitan. 2019 · 1909
Earlier work this paper cites.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J. Williams. 1992 · 1992
Earlier work this paper cites.
Agenda-based user simulation for bootstrapping a POMDP dialogue system
Jost Schatzmann, Blaise Thomson, Karl Weilhammer, Hui Ye, and Steve Young. 2007 · 2007
Earlier work this paper cites.
Spoken language understanding from unaligned data using discriminative classification models
F. Mairesse, M. Gasic, F. Jurcicek, S. Keizer, B. Thomson, K. Yu, and S. Young. 2009 · 2009
Earlier work this paper cites.
The second dialog state tracking challenge
Matthew Henderson, Blaise Thomson, and Jason D. Williams. 2014 · 2014
Earlier work this paper cites.
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 · 2015
Earlier work this paper cites.
Rasa: Open source language understanding and dialogue management
Tom Bocklisch, Joey Faulkner, Nick Pawlowski, and Alan Nichol. 2017 · 2017
Earlier work this paper cites.
Deal or no deal? end-to-end learning of negotiation dialogues
Mike Lewis, Denis Yarats, Yann Dauphin, Devi Parikh, and Dhruv Batra. 2017 · 2017
Earlier work this paper cites.
ParlAI: A dialog research software platform
Alexander Miller, Will Feng, Dhruv Batra, Antoine Bordes, Adam Fisch, Jiasen Lu, Devi Parikh, and Jason Weston. 2017 · 2017
Cited alongside, same era.
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 · 2017
Cited alongside, same era.
Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov. 2017 · 2017
Cited alongside, same era.
PyDial: A multi-domain statistical dialogue system toolkit
Stefan Ultes, Lina M. Rojas-Barahona, Pei-Hao Su, David Vandyke, Dongho Kim, Iñigo Casanueva, Paweł Budzianowski, Nikola Mrkšić, Tsung-Hsien Wen, Milica Gašić, and Steve Young. 2017 · 2017
Cited alongside, same era.
A network-based end-to-end trainable task-oriented dialogue system
Tsung-Hsien Wen, David Vandyke, Nikola Mrkšić, Milica Gašić, Lina M. Rojas-Barahona, Pei-Hao Su, Stefan Ultes, and Steve Young. 2017 · 2017
Semantically conditioned dialog response generation via hierarchical disentangled self-attention
Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, and William Yang Wang. 2019 · 2019
Later among the works it cites.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Later among the works it cites.
Neural approaches to conversational ai
Jianfeng Gao, Michel Galley, and Lihong Li. 2019 · 2019
Later among the works it cites.
Guided dialog policy learning: Reward estimation for multi-domain task-oriented dialog
Ryuichi Takanobu, Hanlin Zhu, and Minlie Huang. 2019 · 2019
Later among the works it cites.
Transferable multi-domain state generator for task-oriented dialogue systems
Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher, and Pascale Fung. 2019 · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
MultiWOZ - a large-scale multi-domain wizard-of-Oz dataset for task-oriented dialogue modelling
Paweł Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng, Iñigo Casanueva, Stefan Ultes, Osman Ramadan, and Milica Gašić. 2018b · 2018
Cited alongside, same era.
User modeling for task oriented dialogues
Izzeddin Gür, Dilek Hakkani-Tür, Gokhan Tür, and Pararth Shah. 2018 · 2018
Cited alongside, same era.
Sequicity: Simplifying task-oriented dialogue systems with single sequence-to-sequence architectures
Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He, and Dawei Yin. 2018 · 2018
Cited alongside, same era.
Large-scale multi-domain belief tracking with knowledge sharing
Osman Ramadan, Paweł Budzianowski, and Milica Gašić. 2018 · 2018
Cited alongside, same era.
Towards end-to-end multi-domain dialogue modelling
Pawel Budzianowski, Iñigo Casanueva, Bo-Hsiang Tseng, and Milica Gasic. 2018a
Cited in the paper.
SUMBT: Slot-utterance matching for universal and scalable belief tracking
Hwaran Lee, Jinsik Lee, and Tae-Yoon Kim. 2019a
Cited in the paper.
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, and Jianfeng Gao. 2019b
Cited in the paper.
Yichi Zhang, Zhijian Ou, and Zhou Yu. 2019 · 2019
Later among the works it cites.
Rethinking action spaces for reinforcement learning in end-to-end dialog agents with latent variable models
Tiancheng Zhao, Kaige Xie, and Maxine Eskenazi. 2019 · 2019
Later among the works it cites.
Plato dialogue system: A flexible conversational ai research platform
Alexandros Papangelis, Mahdi Namazifar, Chandra Khatri, Yi-Chia Wang, Piero Molino, and Gokhan Tur. 2020 · 2020
Closest in time.
CrossWOZ: A large-scale chinese cross-domain task-oriented dialogue dataset
Qi Zhu, Kaili Huang, Zheng Zhang, Xiaoyan Zhu, and Minlie Huang. 2020 · 2020
Closest in time.