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Task oriented dialogue (TOD) requires the complex interleaving of a number of individually controllable components with strong guarantees for explainability and verifiability.
The Curious Case of Neural Text Degeneration
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DLGNet: A Transformer-based Model for Dialogue Response Generation
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DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation
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A Simple Language Model for Task-Oriented Dialogue
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SOLOIST: Few-shot Task-Oriented Dialog with A Single Pre-trained Auto-regressive Model
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The Dialog State Tracking Challenge
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Sequence to sequence learning with neural networks
Sutskever, I.; Vinyals, O.; and Le, Q. 2014 · 2014
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Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems
Wen, T.-H.; Gasic, M.; Mrksic, N.; Su, P.-H.; Vandyke, D.; and Young, S. 2015 · 2015
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Building end-to-end dialogue systems using generative hierarchical neural network models
Serban, I.; Sordoni, A.; Bengio, Y.; Courville, A.; and Pineau, J. 2016 · 2016
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OneNet: Joint Domain, Intent, Slot Prediction for Spoken Language Understanding
Kim, Y.-B.; Lee, S.; and Stratos, K. 2017 · 2017
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A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogue
Serban, I. V.; Sordoni, A.; Lowe, R.; Charlin, L.; Pineau, J.; Courville, A.; and Bengio, Y. 2017 · 2017
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MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling
Budzianowski, P.; Wen, T.-H.; Tseng, B.-H.; Casanueva, I.; Ultes, S.; Ramadan, O.; and Gasic, M. 2018 · 2018
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SUMBT: Slot-utterance matching for universal and scalable belief tracking
Lee, H.; Lee, J.; and Kim, T.-Y. 2019 · 2019
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ConvLab: Multi-Domain End-to-End Dialog System Platform
Lee, S.; Zhu, Q.; Takanobu, R.; Li, X.; Zhang, Y.; Zhang, Z.; Li, J.; Peng, B.; Li, X.; Huang, M.; and Gao, J. 2019 · 2019
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Structured fusion networks for dialog
Mehri, S.; Srinivasan, T.; and Eskenazi, M. 2019 · 2019
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An Adversarial Learning Framework For A Persona-Based Multi-Turn Dialogue Model
Olabiyi, O.; Khazan, A.; Salimov, A.; and Mueller, E. 2019 · 2019
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A modular task-oriented dialogue system using a neural mixture-of-experts
Pei, J.; Ren, P.; and de Rijke, M. 2019 · 2019
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Language Models are Unsupervised Multitask Learners
Radford, A.; Wu, J.; Child, R.; Luan, D.; Amodei, D.; and Sutskever, I. 2019 · 2019
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Olabiyi, O.; Salimov, A.; Khazane, A.; and Mueller, E. 2018 · 2018
Cited alongside, same era.
Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing
Ramadan, O.; Budzianowski, P.; and Gasic, M. 2018 · 2018
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Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention
Chen, W.; Chen, J.; Qin, P.; Yan, X.; and Wang, W. Y. 2019 · 2019
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Zhao, T.; Xie, K.; and Eskenazi, M. 2019 · 2019
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End-to-End Neural Pipeline for Goal-Oriented Dialogue Systems using GPT-2
Ham, D.; Lee, J.; Jang, Y.; and Kim, K. 2020 · 2020
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