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Dialogue State Tracking (DST) is of paramount importance in ensuring accurate tracking of user goals and system actions within task-oriented dialogue systems.
Language models are few-shot learners
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Transferable multi-domain state generator for task-oriented dialogue systems
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Find or classify? dual strategy for slot-value predictions on multi-domain dialog state tracking
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Trippy: A triple copy strategy for value independent neural dialog state tracking
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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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Similarity-based multi-domain dialogue state tracking with copy mechanisms for task-based virtual personal assistants
Jarana Manotumruksa, Jeffrey Dalton, Edgar Meij, and Emine Yilmaz. 2022 · 2014
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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 · 2020
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Challenges in building intelligent open-domain dialog systems
Minlie Huang, Xiaoyan Zhu, and Jianfeng Gao. 2020 · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 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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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
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Completing missing prevalence rates for multiple chronic diseases by jointly leveraging both intra-and inter-disease population health data correlations
Yujie Feng, Jiangtao Wang, Yasha Wang, and Sumi Helal. 2021 · 2021
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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
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Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2021 · 2021
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Dialogue state tracking with a language model using schema-driven prompting
Chia-Hsuan Lee, Hao Cheng, and Mari Ostendorf. 2021 · 2021
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P-tuning v2: Prompt tuning can be comparable to fine-tuning universally across scales and tasks
Xiao Liu, Kaixuan Ji, Yicheng Fu, Weng Lam Tam, Zhengxiao Du, Zhilin Yang, and Jie Tang. 2021 · 2021
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Scaling instruction-finetuned language models
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Yushi Hu, Chia-Hsuan Lee, Tianbao Xie, Tao Yu, Noah A Smith, and Mari Ostendorf. 2022 · 2022
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Exploiting domain-slot related keywords description for few-shot cross-domain dialogue state tracking
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