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The MultiWOZ 2.0 dataset has greatly stimulated the research of task-oriented dialogue systems.
Parallel interactive networks for multi-domain dialogue state generation
Junfan Chen, Richong Zhang, Yongyi Mao, and Jie Xu. 2020 · 1931
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Measuring nominal scale agreement among many raters
Joseph L Fleiss. 1971 · 1971
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A simple language model for task-oriented dialogue
Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu, Semih Yavuz, and Richard Socher. 2020 · 2005
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Coco: Controllable counterfactuals for evaluating dialogue state trackers
Shiyang Li, Semih Yavuz, Kazuma Hashimoto, Jia Li, Tong Niu, Nazneen Rajani, Xifeng Yan, Yingbo Zhou, and Caiming Xiong. 2021 · 2010
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A survey of label-noise representation learning: Past, present and future
Bo Han, Quanming Yao, Tongliang Liu, Gang Niu, Ivor W Tsang, James T Kwok, and Masashi Sugiyama. 2020 · 2011
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The second dialog state tracking challenge
Matthew Henderson, Blaise Thomson, and Jason D. Williams. 2014 · 2014
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Frames: a corpus for adding memory to goal-oriented dialogue systems
Layla El Asri, Hannes Schulz, Shikhar Sharma, Jeremie Zumer, Justin Harris, Emery Fine, Rahul Mehrotra, and Kaheer Suleman. 2017 · 2017
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Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
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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
Earlier work this paper cites.
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. 2018 · 2018
Earlier work this paper cites.
Bootstrapping a neural conversational agent with dialogue self-play, crowdsourcing and on-line reinforcement learning
Pararth Shah, Dilek Hakkani-Tür, Bing Liu, and Gokhan Tür. 2018 · 2018
Cited alongside, same era.
Global-locally self-attentive encoder for dialogue state tracking
Victor Zhong, Caiming Xiong, and Richard Socher. 2018 · 2018
Cited alongside, same era.
SUMBT: Slot-utterance matching for universal and scalable belief tracking
Hwaran Lee, Jinsik Lee, and Tae-Yoon Kim. 2019 · 2019
Cited alongside, same era.
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
Cited alongside, same era.
Conversational semantic parsing for dialog state tracking
Jianpeng Cheng, Devang Agrawal, Héctor Martínez Alonso, Shruti Bhargava, Joris Driesen, Federico Flego, Dain Kaplan, Dimitri Kartsaklis, Lin Li, Dhivya Piraviperumal, Jason D. Williams, Hong Yu, Diarmuid Ó Séaghdha, and Anders Johannsen. 2020 · 2020
Cited alongside, same era.
How to tame your data: Data augmentation for dialog state tracking
Adam Summerville, Jordan Hashemi, James Ryan, and William Ferguson. 2020 · 2020
Later among the works it cites.
Slot attention with value normalization for multi-domain dialogue state tracking
Yexiang Wang, Yi Guo, and Siqi Zhu. 2020 · 2020
Later among the works it cites.
MultiWOZ 2.2 : A dialogue dataset with additional annotation corrections and state tracking baselines
Xiaoxue Zang, Abhinav Rastogi, Srinivas Sunkara, Raghav Gupta, Jianguo Zhang, and Jindong Chen. 2020 · 2020
Later among the works it cites.
Find or classify? dual strategy for slot-value predictions on multi-domain dialog state tracking
Jianguo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, Yao Wang, Philip Yu, Richard Socher, and Caiming Xiong. 2020 · 2020
Later among the works it cites.
CrossWOZ: A large-scale Chinese cross-domain task-oriented dialogue dataset
Qi Zhu, Kaili Huang, Zheng Zhang, Xiaoyan Zhu, and Minlie Huang. 2020 · 2020
Later among the works it cites.
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MultiWOZ 2.1: A consolidated multi-domain dialogue dataset with state corrections and state tracking baselines
Mihail Eric, Rahul Goel, Shachi Paul, Abhishek Sethi, Sanchit Agarwal, Shuyang Gao, Adarsh Kumar, Anuj Goyal, Peter Ku, and Dilek Hakkani-Tur. 2020 · 2020
Cited alongside, same era.
TripPy: A triple copy strategy for value independent neural dialog state tracking
Michael Heck, Carel van Niekerk, Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Marco Moresi, and Milica Gasic. 2020 · 2020
Cited alongside, same era.
Efficient dialogue state tracking by selectively overwriting memory
Sungdong Kim, Sohee Yang, Gyuwan Kim, and Sang-Woo Lee. 2020 · 2020
Cited alongside, same era.
RiSAWOZ: A large-scale multi-domain Wizard-of-Oz dataset with rich semantic annotations for task-oriented dialogue modeling
Jun Quan, Shian Zhang, Qian Cao, Zizhong Li, and Deyi Xiong. 2020 · 2020
Cited alongside, same era.
Towards scalable multi-domain conversational agents: The schema-guided dialogue dataset
Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta, and Pranav Khaitan. 2020 · 2020
Cited alongside, same era.
Multiwoz 2.3: A multi-domain task-oriented dialogue dataset enhanced with annotation corrections and co-reference annotation
Ting Han, Ximing Liu, Ryuichi Takanabu, Yixin Lian, Chongxuan Huang, Dazhen Wan, Wei Peng, and Minlie Huang. 2021 · 2021
Closest in time.
Slot self-attentive dialogue state tracking
Fanghua Ye, Jarana Manotumruksa, Qiang Zhang, Shenghui Li, and Emine Yilmaz. 2021 · 2021
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Asking follow-up clarifications to resolve ambiguities in human-robot conversation
Fethiye Irmak Doğan, Ilaria Torre, and Iolanda Leite. 2022 · 2022
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Learning from noisy labels with deep neural networks: A survey
Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, and Jae-Gil Lee. 2022 · 2022
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