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Recent advances in neural approaches greatly improve task-oriented dialogue (TOD) systems which assist users to accomplish their goals.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
Semi-supervised learning literature survey
Xiaojin Zhu. 2005 · 2005
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Explaining and harnessing adversarial examples
Ian J. Goodfellow, Jonathon Shlens, and Christian Szegedy. 2015 · 2015
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 Gasic. 2018 · 2018
Earlier work this paper cites.
Neural approaches to conversational AI
Jianfeng Gao, Michel Galley, and Lihong Li. 2018 · 2018
Earlier work this paper cites.
Slot-gated modeling for joint slot filling and intent prediction
Chih-Wen Goo, Guang-Lai Gao, Yun-Kai Hsu, Chih-Li Huo, Tsung-Chieh Chen, Keng-Wei Hsu, and Yun-Nung (Vivian) Chen. 2018 · 2018
Earlier work this paper cites.
Deep dyna-q: Integrating planning for task-completion dialogue policy learning
Baolin Peng, Xiujun Li, Jianfeng Gao, Jingjing Liu, Kam-Fai Wong, and Shang-Yu Su. 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.
Dialog state tracking: A neural reading comprehension approach
Shuyang Gao, Abhishek Sethi, Sanchit Agarwal, Tagyoung Chung, and Dilek Z. Hakkani-Tür. 2019 · 2019
Cited alongside, same era.
A stack-propagation framework with token-level intent detection for spoken language understanding
Libo Qin, Wanxiang Che, Yangming Li, Haoyang Wen, and Ting Liu. 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.
A deep generative distance-based classifier for out-of-domain detection with mahalanobis space
Hong Xu, Keqing He, Yuanmeng Yan, Sihong Liu, Zijun Liu, and Weiran Xu. 2020 · 2020
Later among the works it cites.
Scheduled dialog policy learning: An automatic curriculum learning framework for task-oriented dialog system
Sihong Liu, Jinchao Zhang, Keqing He, Weiran Xu, and Jie Zhou. 2021 · 2021
Later among the works it cites.
Soloist: Building task bots at scale with transfer learning and machine teaching
Baolin Peng, Chunyuan Li, Jinchao Li, Shahin Shayandeh, Lars Lidén, and Jianfeng Gao. 2021 · 2021
Later among the works it cites.
Unified knowledge prompt pre-training for customer service dialogues
Keqing He, Jingang Wang, Chaobo Sun, and Wei Wu. 2022 · 2022
Closest in time.
A challenge on semi-supervised and reinforced task-oriented dialog systems
Zhijian Ou, Junlan Feng, Juan-Zi Li, Yakun Li, Hong Liu, Hao Peng, Yi Huang, and Jiangjiang Zhao. 2022 · 2022
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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 · 2020
Cited alongside, same era.
Learning to tag oov tokens by integrating contextual representation and background knowledge
Keqing He, Yuanmeng Yan, and Weiran Xu. 2020a
Cited in the paper.
Contrastive zero-shot learning for cross-domain slot filling with adversarial attack
Keqing He, Jinchao Zhang, Yuanmeng Yan, Weiran Xu, Cheng Niu, and Jie Zhou. 2020b
Cited in the paper.
Revisiting markovian generative architectures for efficient task-oriented dialog systems
Hong Liu, Yucheng Cai, Zhijian Ou, Yi Huang, and Junlan Feng. 2022a
Cited in the paper.
Hong Liu, Hao Peng, Zhijian Ou, Juan-Zi Li, Yi Huang, and Junlan Feng. 2022b
Cited in the paper.
Closest in time.
Multi-task pre-training for plug-and-play task-oriented dialogue system
Yixuan Su, Lei Shu, Elman Mansimov, Arshit Gupta, Deng Cai, Yi-An Lai, and Yi Zhang. 2022 · 2022
Closest in time.