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Dialogue State Tracking (DST) aims to keep track of users' intentions during the course of a conversation.
A fast and robust bert-based dialogue state tracker for schema-guided dialogue dataset
Vahid Noroozi, Yang Zhang, Evelina Bakhturina, and Tomasz Kornuta. 2020 · 2008
Earlier work this paper cites.
Multi-domain dialogue state tracking based on state graph
Yan Zeng and Jian-Yun Nie. 2020 · 2010
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
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An embarrassingly simple approach to zero-shot learning
Bernardino Romera-Paredes and Philip HS Torr. 2015 · 2015
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Earlier work this paper cites.
Large-scale multi-domain belief tracking with knowledge sharing
Osman Ramadan, Paweł Budzianowski, and Milica Gasic. 2018 · 2018
Earlier work this paper cites.
Graph attention networks
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio. 2018 · 2018
Earlier work this paper cites.
Global-locally self-attentive encoder for dialogue state tracking
Victor Zhong, Caiming Xiong, and Richard Socher. 2018 · 2018
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Earlier work this paper cites.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
Earlier work this paper cites.
Scalable and accurate dialogue state tracking via hierarchical sequence generation
Liliang Ren, Jianmo Ni, and Julian McAuley. 2019 · 2019
Cited alongside, same era.
Heterogeneous graph attention network
Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Yanfang Ye, Peng Cui, and Philip S Yu. 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.
Multi-domain dialogue state tracking as dynamic knowledge graph enhanced question answering
Li Zhou and Kevin Small. 2019 · 2019
Cited alongside, same era.
Schema-guided multi-domain dialogue state tracking with graph attention neural networks
Lu Chen, Boer Lv, Chi Wang, Su Zhu, Bowen Tan, and Kai Yu. 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
Later among the works it cites.
Mintl: Minimalist transfer learning for task-oriented dialogue systems
Zhaojiang Lin, Andrea Madotto, Genta Indra Winata, and Pascale Fung. 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 CHEN Jiajun. 2020 · 2020
Later among the works it cites.
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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Mihail Eric, Rahul Goel, Shachi Paul, Abhishek Sethi, Sanchit Agarwal, Shuyang Gao, and Dilek Hakkani-Tür. 2020 · 2020
Cited alongside, same era.
From machine reading comprehension to dialogue state tracking: Bridging the gap
Shuyang Gao, Sanchit Agarwal, Tagyoung Chung, Di Jin, 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 Gašić. 2020 · 2020
Cited alongside, same era.
Sas: Dialogue state tracking via slot attention and slot information sharing
Jiaying Hu, Yan Yang, Chencai Chen, Zhou Yu, et al. 2020 · 2020
Cited alongside, same era.
Challenges in building intelligent open-domain dialog systems
Minlie Huang, Xiaoyan Zhu, and Jianfeng Gao. 2020 · 2020
Cited alongside, same era.
Find or classify? dual strategy for slot-value predictions on multi-domain dialog state tracking
Jian-Guo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, Yao Wan, Philip S Yu, Richard Socher, and Caiming Xiong. 2020a
Cited in the paper.
A probabilistic end-to-end task-oriented dialog model with latent belief states towards semi-supervised learning
Yichi Zhang, Zhijian Ou, Huixin Wang, and Junlan Feng. 2020b
Cited in the paper.
Efficient context and schema fusion networks for multi-domain dialogue state tracking
Su Zhu, Jieyu Li, Lu Chen, and Kai Yu. 2020 · 2020
Later among the works it cites.
A sequence-to-sequence approach to dialogue state tracking
Yue Feng, Yang Wang, and Hang Li. 2021 · 2021
Later among the works it cites.
Knowledge-aware graph-enhanced gpt-2 for dialogue state tracking
Weizhe Lin, Bo-Hsian Tseng, and Bill Byrne. 2021 · 2021
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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. 2021 · 2021
Later among the works it cites.
Slot self-attentive dialogue state tracking
Fanghua Ye, Jarana Manotumruksa, Qiang Zhang, Shenghui Li, and Emine Yilmaz. 2021 · 2021
Later among the works it cites.