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In this paper, we propose Minimalist Transfer Learning (MinTL) to simplify the system design process of task-oriented dialogue systems and alleviate the over-dependency on annotated data.
Transfertransfo: A transfer learning approach for neural network based conversational agents
Thomas Wolf, Victor Sanh, Julien Chaumond, and Clement Delangue. 2019b · 1901
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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
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Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Teacher-student framework enhanced multi-domain dialogue generation
Shuke Peng, Xinjing Huang, Zehao Lin, Feng Ji, Haiqing Chen, and Yin Zhang. 2019 · 1908
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Towards scalable multi-domain conversational agents: The schema-guided dialogue dataset
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Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer. 2019 · 1910
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Neural assistant: Joint action prediction, response generation, and latent knowledge reasoning
Arvind Neelakantan, Semih Yavuz, Sharan Narang, Vishaal Prasad, Ben Goodrich, Daniel Duckworth, Chinnadhurai Sankar, and Xifeng Yan. 2019 · 1910
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Exploring the limits of transfer learning with a unified text-to-text transformer
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Huggingface’s transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush. 2019a · 1910
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Alternating recurrent dialog model with large-scale pre-trained language models
Qingyang Wu, Yichi Zhang, Yu Li, and Zhou Yu. 2019b · 1910
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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. 2019a · 1910
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Efficient dialogue state tracking by selectively overwriting memory
Sungdong Kim, Sohee Yang, Gyuwan Kim, and Sang-Woo Lee. 2019 · 1911
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Task-oriented dialog systems that consider multiple appropriate responses under the same context
Yichi Zhang, Zhijian Ou, and Zhou Yu. 2019b · 1911
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Dialogpt: Large-scale generative pre-training for conversational response generation
Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, Jingjing Liu, and Bill Dolan. 2019c · 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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Towards a human-like open-domain chatbot
Daniel Adiwardana, Minh-Thang Luong, David R So, Jamie Hall, Noah Fiedel, Romal Thoppilan, Zi Yang, Apoorv Kulshreshtha, Gaurav Nemade, Yifeng Lu, et al. 2020 · 2001
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Attention over parameters for dialogue systems
Andrea Madotto, Zhaojiang Lin, Chien-Sheng Wu, Jamin Shin, and Pascale Fung. 2020b · 2001
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Exploring versatile generative language model via parameter-efficient transfer learning
Zhaojiang Lin, Andrea Madotto, and Pascale Fung. 2020 · 2004
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Recipes for building an open-domain chatbot
Stephen Roller, Emily Dinan, Naman Goyal, Da Ju, Mary Williamson, Yinhan Liu, Jing Xu, Myle Ott, Kurt Shuster, Eric M Smith, et al. 2020 · 2004
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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 simple language model for task-oriented dialogue
Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu, Semih Yavuz, and Richard Socher. 2020 · 2005
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Soloist: Few-shot task-oriented dialog with a single pre-trained auto-regressive model
Baolin Peng, Chunyuan Li, Jinchao Li, Shahin Shayandeh, Lars Liden, and Jianfeng Gao. 2020 · 2005
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Self-attention with relative position representations
Peter Shaw, Jakob Uszkoreit, and Ashish Vaswani. 2018 · 2018
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Glue: A multi-task benchmark and analysis platform for natural language understanding
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R Bowman. 2018 · 2018
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Global-locally self-attentive encoder for dialogue state tracking
Victor Zhong, Caiming Xiong, and Richard Socher. 2018 · 2018
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Hello, it’s gpt-2-how can i help you? towards the use of pretrained language models for task-oriented dialogue systems
Paweł Budzianowski and Ivan Vulić. 2019 · 2019
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Semantically conditioned dialog response generation via hierarchical disentangled self-attention
Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, and William Yang Wang. 2019 · 2019
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Partially observable markov decision processes for spoken dialog systems
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Pomdp-based statistical spoken dialog systems: A review
Steve Young, Milica Gašić, Blaise Thomson, and Jason D Williams. 2013 · 2013
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Learning end-to-end goal-oriented dialog
Antoine Bordes, Y-Lan Boureau, and Jason Weston. 2016 · 2016
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Jiatao Gu, Zhengdong Lu, Hang Li, and Victor OK Li. 2016 · 2016
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Key-value retrieval networks for task-oriented dialogue
Mihail Eric, Lakshmi Krishnan, Francois Charette, and Christopher D. Manning. 2017 · 2017
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A copy-augmented sequence-to-sequence architecture gives good performance on task-oriented dialogue
Mihail Eric and Christopher D Manning. 2017 · 2017
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Cross-lingual language model pretraining
Alexis Conneau and Guillaume Lample. 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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Dialog state tracking: A neural reading comprehension approach
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Hyst: A hybrid approach for flexible and accurate dialogue state tracking
Rahul Goel, Shachi Paul, and Dilek Hakkani-Tür. 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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Structured fusion networks for dialog
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 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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Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Russ R Salakhutdinov, and Quoc V Le. 2019 · 2019
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Schema-guided multi-domain dialogue state tracking with graph attention neural networks
Lu Chen, Boer Lv, Chunxin Wang, Su Zhu, Bowen Tan, and Kai Yu. 2020 · 2020
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Spanbert: Improving pre-training by representing and predicting spans
Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S Weld, Luke Zettlemoyer, and Omer Levy. 2020 · 2020
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Non-autoregressive dialog state tracking
Hung Le, Richard Socher, and Steven C.H. Hoi. 2020 · 2020
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