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Task-oriented dialogue systems are either modularized with separate dialogue state tracking (DST) and management steps or end-to-end trainable.
Transfertransfo: A transfer learning approach for neural network based conversational agents
Thomas Wolf, Victor Sanh, Julien Chaumond, and Clement Delangue. 2019a · 1901
Earlier work this paper cites.
Transfertransfo: A transfer learning approach for neural network based conversational agents
Thomas Wolf, Victor Sanh, Julien Chaumond, and Clement Delangue. 2019b · 1901
Earlier work this paper cites.
Scaling multi-domain dialogue state tracking via query reformulation
Pushpendre Rastogi, Arpit Gupta, Tongfei Chen, and Lambert Mathias. 2019 · 1903
Earlier work this paper cites.
Generating long sequences with sparse transformers
Rewon Child, Scott Gray, Alec Radford, and Ilya Sutskever. 2019 · 1904
Earlier work this paper cites.
Semantically conditioned dialog response generation via hierarchical disentangled self-attention
Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, and William Yang Wang. 2019 · 1905
Earlier work this paper cites.
Augmenting data with mixup for sentence classification: An empirical study
Hongyu Guo, Yongyi Mao, and Richong Zhang. 2019 · 1905
Earlier work this paper cites.
Structured fusion networks for dialog
Shikib Mehri, Tejas Srinivasan, and Maxine Eskenazi. 2019 · 1907
Earlier work this paper cites.
K-bert: Enabling language representation with knowledge graph
Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, and Ping Wang. 2019a · 1909
Earlier work this paper cites.
Entity-consistent end-to-end task-oriented dialogue system with kb retriever
Libo Qin, Yijia Liu, Wanxiang Che, Haoyang Wen, Yangming Li, and Ting Liu. 2019 · 1909
Earlier work this paper cites.
A closer look at feature space data augmentation for few-shot intent classification
Varun Kumar, Hadrien Glaude, Cyprien de Lichy, and William Campbell. 2019 · 1910
Earlier work this paper cites.
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
Earlier work this paper cites.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 2019 · 1910
Earlier work this paper cites.
Negated lama: Birds cannot fly
Nora Kassner and Hinrich Schütze. 2019 · 1911
Earlier work this paper cites.
Kepler: A unified model for knowledge embedding and pre-trained language representation
Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhiyuan Liu, Juanzi Li, and Jian Tang. 2019 · 1911
Earlier work this paper cites.
Task-oriented dialog systems that consider multiple appropriate responses under the same context
Yichi Zhang, Zhijian Ou, and Zhou Yu. 2019a · 1911
Earlier work this paper cites.
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. 2019b · 1911
Earlier work this paper cites.
Pretrained encyclopedia: Weakly supervised knowledge-pretrained language model
Wenhan Xiong, Jingfei Du, William Yang Wang, and Veselin Stoyanov. 2019 · 1912
Earlier work this paper cites.
Sequel: A structured english query language
Donald D Chamberlin and Raymond F Boyce. 1974 · 1974
Earlier work this paper cites.
A stochastic model of human-machine interaction for learning dialog strategies
Esther Levin, Roberto Pieraccini, and Wieland Eckert. 2000 · 2000
Earlier work this paper cites.
A knowledge-enhanced pretraining model for commonsense story generation
Jian Guan, Fei Huang, Zhihao Zhao, Xiaoyan Zhu, and Minlie Huang. 2020 · 2001
Earlier work this paper cites.
Reformer: The efficient transformer
Nikita Kitaev, Łukasz Kaiser, and Anselm Levskaya. 2020 · 2001
Earlier work this paper cites.
Attention over parameters for dialogue systems
Andrea Madotto, Zhaojiang Lin, Chien-Sheng Wu, Jamin Shin, and Pascale Fung. 2020a · 2001
Earlier work this paper cites.
Variational hierarchical dialog autoencoder for dialogue state tracking data augmentation
Kang Min Yoo, Hanbit Lee, Franck Dernoncourt, Trung Bui, Walter Chang, and Sang-goo Lee. 2020 · 2001
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
Few-shot natural language generation for task-oriented dialog
Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, and Jianfeng Gao. 2020b · 2002
Earlier work this paper cites.
How much knowledge can you pack into the parameters of a language model?
Adam Roberts, Colin Raffel, and Noam Shazeer. 2020 · 2002
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Data augmentation for copy-mechanism in dialogue state tracking
Xiaohui Song, Liangjun Zang, Yipeng Su, Xing Wu, Jizhong Han, and Songlin Hu. 2020 · 2002
Earlier work this paper cites.
K-adapter: Infusing knowledge into pre-trained models with adapters
Ruize Wang, Duyu Tang, Nan Duan, Zhongyu Wei, Xuanjing Huang, Cuihong Cao, Daxin Jiang, Ming Zhou, et al. 2020 · 2002
Earlier work this paper cites.
A neural probabilistic language model
Yoshua Bengio, Réjean Ducharme, Pascal Vincent, and Christian Jauvin. 2003 · 2003
Earlier work this paper cites.
Uniconv: A unified conversational neural architecture for multi-domain task-oriented dialogues
Hung Le, Doyen Sahoo, Chenghao Liu, Nancy F Chen, and Steven CH Hoi. 2020 · 2004
Earlier work this paper cites.
Guided dialog policy learning without adversarial learning in the loop
Ziming Li, Sungjin Lee, Baolin Peng, Jinchao Li, Shahin Shayandeh, and Jianfeng Gao. 2020 · 2004
Cited alongside, same era.
Coach: A coarse-to-fine approach for cross-domain slot filling
Zihan Liu, Genta Indra Winata, Peng Xu, and Pascale Fung. 2020 · 2004
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Data augmentation for spoken language understanding via pretrained models
Baolin Peng, Chenguang Zhu, Michael Zeng, and Jianfeng Gao. 2020c · 2004
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Dynamic fusion network for multi-domain end-to-end task-oriented dialog
Libo Qin, Xiao Xu, Wanxiang Che, Yue Zhang, and Ting Liu. 2020 · 2004
Cited alongside, same era.
Tod-bert: Pre-trained natural language understanding for task-oriented dialogues
Semantic specialization of distributional word vector spaces using monolingual and cross-lingual constraints
Nikola Mrkšić, Ivan Vulić, Diarmuid Ó Séaghdha, Ira Leviant, Roi Reichart, Milica Gašić, Anna Korhonen, and Steve Young. 2017 · 2017
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Query-reduction networks for question answering
Minjoon Seo, Sewon Min, Ali Farhadi, and Hannaneh Hajishirzi. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz 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 Gasic. 2018 · 2018
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Xl-nbt: A cross-lingual neural belief tracking framework
Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan, and William Yang Wang. 2018 · 2018
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Chien-Sheng Wu, Steven Hoi, Richard Socher, and Caiming Xiong. 2020 · 2004
Cited alongside, same era.
G-daug: Generative data augmentation for commonsense reasoning
Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, and Doug Downey. 2020 · 2004
Cited alongside, same era.
Zero-shot transfer learning with synthesized data for multi-domain dialogue state tracking
Giovanni Campagna, Agata Foryciarz, Mehrad Moradshahi, and Monica S Lam. 2020 · 2005
Cited alongside, same era.
A simple language model for task-oriented dialogue
Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu, Semih Yavuz, and Richard Socher. 2020 · 2005
Cited alongside, same era.
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. 2020a · 2005
Cited alongside, same era.
How context affects language models’ factual predictions
Fabio Petroni, Patrick Lewis, Aleksandra Piktus, Tim Rocktäschel, Yuxiang Wu, Alexander H Miller, and Sebastian Riedel. 2020 · 2005
Cited alongside, same era.
Agenda-based user simulation for bootstrapping a pomdp dialogue system
Jost Schatzmann, Blaise Thomson, Karl Weilhammer, Hui Ye, and Steve Young. 2007 · 2007
Cited alongside, same era.
Partially observable markov decision processes for spoken dialog systems
Jason D Williams and Steve Young. 2007 · 2007
Cited alongside, same era.
Neural approaches to conversational ai
Jianfeng Gao, Michel Galley, and Lihong Li. 2018 · 2018
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Neural user simulation for corpus-based policy optimisation for spoken dialogue systems
Florian Kreyssig, Inigo Casanueva, Pawel Budzianowski, and Milica Gasic. 2018 · 2018
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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
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Mem2seq: Effectively incorporating knowledge bases into end-to-end task-oriented dialog systems
Andrea Madotto, Chien-Sheng Wu, and Pascale Fung. 2018 · 2018
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Deep dyna-q: Integrating planning for task-completion dialogue policy learning
Baolin Peng, Xiujun Li, Jianfeng Gao, Jingjing Liu, and Kam-Fai Wong. 2018 · 2018
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Bootstrapping a neural conversational agent with dialogue self-play, crowdsourcing and on-line reinforcement learning
Pararth Shah, Dilek Hakkani-Tur, Bing Liu, and Gokhan Tur. 2018 · 2018
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Incorporating the structure of the belief state in end-to-end task-oriented dialogue systems
Lei Shu, Piero Molino, Mahdi Namazifar, Bing Liu, Hu Xu, Huaixiu Zheng, and Gokhan Tur. 2018 · 2018
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Sequence-to-sequence learning for task-oriented dialogue with dialogue state representation
Haoyang Wen, Yijia Liu, Wanxiang Che, Libo Qin, and Ting Liu. 2018 · 2018
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Graph convolutional network with sequential attention for goal-oriented dialogue systems
Suman Banerjee and Mitesh M Khapra. 2019 · 2019
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Comet: Commonsense transformers for knowledge graph construction
Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, and Yejin Choi. 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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Kb-transformer: Incorporating knowledge into end-to-end task-oriented dialog systems
E Haihong, Wenjing Zhang, and Meina Song. 2019 · 2019
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Training neural response selection for task-oriented dialogue systems
Matthew Henderson, Ivan Vulić, Daniela Gerz, Iñigo Casanueva, Paweł Budzianowski, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrkšić, and Pei-Hao Su. 2019 · 2019
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Large memory layers with product keys
Guillaume Lample, Alexandre Sablayrolles, Marc’Aurelio Ranzato, Ludovic Denoyer, and Hervé Jégou. 2019 · 2019
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Zero-shot cross-lingual dialogue systems with transferable latent variables
Zihan Liu, Jamin Shin, Yan Xu, Genta Indra Winata, Peng Xu, Andrea Madotto, and Pascale Fung. 2019b · 2019
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Opendialkg: Explainable conversational reasoning with attention-based walks over knowledge graphs
Seungwhan Moon, Pararth Shah, Anuj Kumar, and Rajen Subba. 2019 · 2019
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Language models as knowledge bases?
Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, and Alexander Miller. 2019 · 2019
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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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Disentangling language and knowledge in task-oriented dialogs
Dinesh Raghu, Nikhil Gupta, et al. 2019 · 2019
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Multi-level memory for task oriented dialogs
Revanth Gangi Reddy, Danish Contractor, Dinesh Raghu, and Sachindra Joshi. 2019 · 2019
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Cross-lingual transfer learning for multilingual task oriented dialog
Sebastian Schuster, Sonal Gupta, Rushin Shah, and Mike Lewis. 2019 · 2019
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Robust zero-shot cross-domain slot filling with example values
Darsh Shah, Raghav Gupta, Amir Fayazi, and Dilek Hakkani-Tur. 2019 · 2019
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End-to-end neural pipeline for goal-oriented dialogue systems using GPT-2
Donghoon Ham, Jeong-Gwan Lee, Youngsoo Jang, and Kee-Eung Kim. 2020 · 2020
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Fg2seq: Effectively encoding knowledge for end-to-end task-oriented dialog
Z. He, Y. He, Q. Wu, and J. Chen. 2020 · 2020
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