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The MultiWOZ 2.0 dataset has greatly boosted the research on dialogue state tracking (DST).
Dropout: a simple way to prevent neural networks from overfitting
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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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Learning from noisy labels with deep neural networks: A survey
Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, and Jae-Gil Lee. 2020 · 2007
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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 · 2007
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Ting Han, Ximing Liu, Ryuichi Takanobu, Yixin Lian, Chongxuan Huang, Wei Peng, and Minlie Huang. 2020b · 2010
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A sequence-to-sequence approach to dialogue state tracking
Yue Feng, Yang Wang, and Hang Li. 2020 · 2011
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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. 2020a · 2011
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Classification in the presence of label noise: a survey
Benoît Frénay and Michel Verleysen. 2013 · 2013
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Learning with noisy labels
Nagarajan Natarajan, Inderjit S Dhillon, Pradeep Ravikumar, and Ambuj Tewari. 2013 · 2013
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Pomdp-based statistical spoken dialog systems: A review
Steve Young, Milica Gašić, Blaise Thomson, and Jason D Williams. 2013 · 2013
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The second dialog state tracking challenge
Matthew Henderson, Blaise Thomson, and Jason D. Williams. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
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The dialog state tracking challenge series
Jason D Williams, Matthew Henderson, Antoine Raux, Blaise Thomson, Alan Black, and Deepak Ramachandran. 2014 · 2014
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Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton. 2016 · 2016
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Generating sentences from a continuous space
Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, Andrew Dai, Rafal Jozefowicz, and Samy Bengio. 2016 · 2016
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Understanding deep learning requires rethinking generalization
Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, and Oriol Vinyals. 2016 · 2016
Cited alongside, same era.
Deep learning for dialogue systems
Yun-Nung Chen, Asli Celikyilmaz, and Dilek Hakkani-Tür. 2017 · 2017
Cited alongside, same era.
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
Cited alongside, same era.
Neural belief tracker: Data-driven dialogue state tracking
Nikola Mrkšić, Diarmuid Ó Séaghdha, Tsung-Hsien Wen, Blaise Thomson, and Steve Young. 2017 · 2017
Cited alongside, same era.
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
From machine reading comprehension to dialogue state tracking: Bridging the gap
Shuyang Gao, Sanchit Agarwal, Di Jin, Tagyoung Chung, and Dilek Hakkani-Tur. 2020 · 2020
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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
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SAS: Dialogue state tracking via slot attention and slot information sharing
Jiaying Hu, Yan Yang, Chencai Chen, Liang He, and Zhou Yu. 2020 · 2020
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Efficient dialogue state tracking by selectively overwriting memory
Sungdong Kim, Sohee Yang, Gyuwan Kim, and Sang-Woo Lee. 2020 · 2020
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Dialogue state tracking with explicit slot connection modeling
Yawen Ouyang, Moxin Chen, Xinyu Dai, Yinggong Zhao, Shujian Huang, and Jiajun Chen. 2020 · 2020
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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
Cited alongside, same era.
Using trusted data to train deep networks on labels corrupted by severe noise
Dan Hendrycks, Mantas Mazeika, Duncan Wilson, and Kevin Gimpel. 2018 · 2018
Cited alongside, same era.
Generalized cross entropy loss for training deep neural networks with noisy labels
Zhilu Zhang and Mert R Sabuncu. 2018 · 2018
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
Neural approaches to conversational ai
Jianfeng Gao, Michel Galley, Lihong Li, et al. 2019 · 2019
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.
Selfie: Refurbishing unclean samples for robust deep learning
Hwanjun Song, Minseok Kim, and Jae-Gil Lee. 2019 · 2019
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
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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 · 2020
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A contextual hierarchical attention network with adaptive objective for dialogue state tracking
Yong Shan, Zekang Li, Jinchao Zhang, Fandong Meng, Yang Feng, Cheng Niu, and Jie Zhou. 2020 · 2020
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Combating noisy labels by agreement: A joint training method with co-regularization
Hongxin Wei, Lei Feng, Xiangyu Chen, and Bo An. 2020 · 2020
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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
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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 · 2020
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Attention guided dialogue state tracking with sparse supervision
Shuailong Liang, Lahari Poddar, and Gyuri Szarvas. 2021 · 2021
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Knowledge-aware graph-enhanced gpt-2 for dialogue state tracking
Weizhe Lin, Bo-Hsian Tseng, and Bill Byrne. 2021 · 2021
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Slot self-attentive dialogue state tracking
Fanghua Ye, Jarana Manotumruksa, Qiang Zhang, Shenghui Li, and Emine Yilmaz. 2021b · 2021
Later among the works it cites.