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Dialog state tracking (DST) is a core component in task-oriented dialog systems.
Multiwoz 2.1: Multi-domain dialogue state corrections and state tracking baselines
Mihail Eric, Rahul Goel, Shachi Paul, Abhishek Sethi, Sanchit Agarwal, Shuyag Gao, and Dilek Hakkani-Tur. 2019 · 1907
Earlier work this paper cites.
Learning to retrieve reasoning paths over wikipedia graph for question answering
Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, and Caiming Xiong. 2019 · 1911
Earlier work this paper cites.
The eighth dialog system technology challenge
Seokhwan Kim, Michel Galley, Chulaka Gunasekara, Sungjin Lee, Adam Atkinson, Baolin Peng, Hannes Schulz, Jianfeng Gao, Jinchao Li, Mahmoud Adada, et al. 2019 · 1911
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Multi-domain dialogue state tracking as dynamic knowledge graph enhanced question answering
Li Zhou and Kevin Small. 2019 · 1911
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Computer-Intensive Methods for Testing Hypotheses: An Introduction
Eric W. Noreen. 1989 · 1989
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Tod-bert: Pre-trained natural language understanding for task-oriented dialogues
Chien-Sheng Wu, Steven Hoi, Richard Socher, and Caiming Xiong. 2020 · 2004
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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 · 2006
Earlier work this paper 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 · 2007
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The dialog state tracking challenge
Jason Williams, Antoine Raux, Deepak Ramachandran, and Alan Black. 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
Earlier work this paper cites.
The fifth dialog state tracking challenge
Seokhwan Kim, Luis Fernando D’Haro, Rafael E Banchs, Jason D Williams, Matthew Henderson, and Koichiro Yoshino. 2016 · 2016
Earlier work this paper cites.
A network-based end-to-end trainable task-oriented dialogue system
Tsung-Hsien Wen, David Vandyke, Nikola Mrksic, Milica Gasic, Lina M Rojas-Barahona, Pei-Hao Su, Stefan Ultes, and Steve Young. 2016 · 2016
Cited alongside, same era.
The fourth dialog state tracking challenge
Seokhwan Kim, Luis Fernando D’Haro, Rafael E Banchs, Jason D Williams, and Matthew Henderson. 2017 · 2017
Cited alongside, same era.
Adversarial ranking for language generation
Kevin Lin, Dianqi Li, Xiaodong He, Zhengyou Zhang, and Ming-Ting Sun. 2017 · 2017
Cited alongside, same era.
An end-to-end trainable neural network model with belief tracking for task-oriented dialog
Bing Liu and Ian Lane. 2017 · 2017
Cited alongside, same era.
Multiwoz-a large-scale multi-domain wizard-of-oz dataset for task-oriented dialogue modelling
Paweł Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng, Inigo Casanueva, Stefan Ultes, Osman Ramadan, and Milica Gašić. 2018 · 2018
Cited alongside, same era.
Evaluating question answering evaluation
Anthony Chen, Gabriel Stanovsky, Sameer Singh, and Matt Gardner. 2019 · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Sumbt: Slot-utterance matching for universal and scalable belief tracking
Hwaran Lee, Jinsik Lee, and Tae-Yoon Kim. 2019 · 2019
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Dynamically fused graph network for multi-hop reasoning
Lin Qiu, Yunxuan Xiao, Yanru Qu, Hao Zhou, Lei Li, Weinan Zhang, and Yong Yu. 2019 · 2019
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Scalable and accurate dialogue state tracking via hierarchical sequence generation
Liliang Ren, Jianmo Ni, and Julian McAuley. 2019 · 2019
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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
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Sequicity: Simplifying task-oriented dialogue systems with single sequence-to-sequence architectures
Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He, and Dawei Yin. 2018 · 2018
Cited alongside, same era.
Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. 2018 · 2018
Cited alongside, same era.
Large-scale multi-domain belief tracking with knowledge sharing
Osman Ramadan, Paweł Budzianowski, and Milica Gašić. 2018 · 2018
Cited alongside, same era.
An end-to-end approach for handling unknown slot values in dialogue state tracking
Puyang Xu and Qi Hu. 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.
Neural approaches to conversational ai
Jianfeng Gao, Michel Galley, Lihong Li, et al. 2019a
Cited in the paper.
Dialog state tracking: A neural reading comprehension approach
Shuyang Gao, Abhishek Sethi, Sanchit Aggarwal, Tagyoung Chung, and Dilek Hakkani-Tur. 2019b
Cited in the paper.
Closest in time.
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
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Ma-dst: Multi-attention based scalable dialog state tracking
Adarsh Kumar, Peter Ku, Anuj Kumar Goyal, Angeliki Metallinou, and Dilek Hakkani-Tur. 2020 · 2020
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Non-autoregressive dialog state tracking
Hung Le, Richard Socher, and Steven CH Hoi. 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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