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We propose NeuralWOZ, a novel dialogue collection framework that uses model-based dialogue simulation.
Mihail Eric, Rahul Goel, Shachi Paul, Adarsh Kumar, Abhishek Sethi, Peter Ku, Anuj Kumar Goyal, Sanchit Agarwal, Shuyang Gao, and Dilek Hakkani-Tur. 2019 · 1907
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An iterative design methodology for user-friendly natural language office information applications
John F Kelley. 1984 · 1984
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Wizard of oz studies: why and how
Nils Dahlbäck, Arne Jönsson, and Lars Ahrenberg. 1993 · 1993
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Agenda-based user simulation for bootstrapping a POMDP dialogue system
Jost Schatzmann, Blaise Thomson, Karl Weilhammer, Hui Ye, and Steve Young. 2007 · 2007
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Simulated chats for task-oriented dialog: Learning to generate conversations from instructions
Biswesh Mohapatra, Gaurav Pandey, Danish Contractor, and Sachindra Joshi. 2020 · 2010
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The third dialog state tracking challenge
Matthew Henderson, Blaise Thomson, and Jason D Williams. 2014b · 2014
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Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
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Frames: a corpus for adding memory to goal-oriented dialogue systems
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Diederik P. Kingma and Jimmy Ba. 2017 · 2017
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Xiujun Li, Zachary C. Lipton, Bhuwan Dhingra, Lihong Li, Jianfeng Gao, and Yun-Nung Chen. 2017 · 2017
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Nsml: A machine learning platform that enables you to focus on your models
Nako Sung, Minkyu Kim, Hyunwoo Jo, Youngil Yang, Jingwoong Kim, Leonard Lausen, Youngkwan Kim, Gayoung Lee, Donghyun Kwak, Jung-Woo Ha, et al. 2017 · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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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
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Sequence-to-sequence data augmentation for dialogue language understanding
Yutai Hou, Yijia Liu, Wanxiang Che, and Ting Liu. 2018 · 2018
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Dream: A challenge dataset and models for dialogue-based reading comprehension
Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Yejin Choi, and Claire Cardie. 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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Data augmentation for spoken language understanding via joint variational generation
Kang Min Yoo, Youhyun Shin, and Sang-goo Lee. 2019 · 2019
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Zero-shot transfer learning with synthesized data for multi-domain dialogue state tracking
Giovanni Campagna, Agata Foryciarz, Mehrad Moradshahi, and Monica Lam. 2020 · 2020
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The curious case of neural text degeneration
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi. 2020 · 2020
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Building a conversational agent overnight with dialogue self-play
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Variational hierarchical dialog autoencoder for dialog state tracking data augmentation
Kang Min Yoo, Hanbit Lee, Franck Dernoncourt, Trung Bui, Walter Chang, and Sang-goo Lee. 2020 · 2020
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Task-oriented dialog systems that consider multiple appropriate responses under the same context
Yichi Zhang, Zhijian Ou, and Zhou Yu. 2020 · 2020
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Zero-shot generalization in dialog state tracking through generative question answering
Shuyang Li, Jin Cao, Mukund Sridhar, Henghui Zhu, Shang-Wen Li, Wael Hamza, and Julian McAuley. 2021 · 2021
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