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Task-Oriented Dialogue (TOD) systems are designed to carry out specific tasks by tracking dialogue states and generating appropriate responses to help users achieve defined goals.
Multi-domain dialogue state tracking as dynamic knowledge graph enhanced question answering
Li Zhou and Kevin Small. 2019 · 1911
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Catastrophic forgetting in connectionist networks
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Policy gradient methods for reinforcement learning with function approximation
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Dialoglue: A natural language understanding benchmark for task-oriented dialogue
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Dialoglue: A natural language understanding benchmark for task-oriented dialogue
Shikib Mehri, Mihail Eric, and Dilek Hakkani-Tür. 2020b · 2009
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Deep residual learning for image recognition
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Deep reinforcement learning for dialogue generation
Jiwei Li, Will Monroe, Alan Ritter, Dan Jurafsky, Michel Galley, and Jianfeng Gao. 2016 · 2016
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Sequence level training with recurrent neural networks
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Hongshen Chen, Xiaorui Liu, Dawei Yin, and Jiliang Tang. 2017 · 2017
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Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi, Hakan Bilen, and Andrea Vedaldi. 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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End-to-end learning of task-oriented dialogs
Bing Liu and Ian Lane. 2018 · 2018
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A deep reinforced model for abstractive summarization
Romain Paulus, Caiming Xiong, and Richard Socher. 2018 · 2018
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Adafactor: Adaptive learning rates with sublinear memory cost
Noam Shazeer and Mitchell Stern. 2018 · 2018
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Simple, scalable adaptation for neural machine translation
Ankur Bapna and Orhan Firat. 2019 · 2019
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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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Unified language model pre-training for natural language understanding and generation
Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, and Hsiao-Wuen Hon. 2019 · 2019
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An evaluation dataset for intent classification and out-of-scope prediction
Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, and Jason Mars. 2019 · 2019
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Benchmarking natural language understanding services for building conversational agents
Xingkun Liu, Arash Eshghi, Pawel Swietojanski, and Verena Rieser. 2019 · 2019
Dialogue state tracking with a language model using schema-driven prompting
Chia-Hsuan Lee, Hao Cheng, and Mari Ostendorf. 2021 · 2021
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Improving end-to-end task-oriented dialog system with a simple auxiliary task
Yohan Lee. 2021 · 2021
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Pretrained language models for text generation: A survey
Junyi Li, Tianyi Tang, Wayne Xin Zhao, and Ji-Rong Wen. 2021 · 2021
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The adapter-bot: All-in-one controllable conversational model
Zhaojiang Lin, Andrea Madotto, Yejin Bang, and Pascale Fung. 2021 · 2021
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Shades of bleu, flavours of success: The case of multiwoz
Tomás Nekvinda and Ondrej Dusek. 2021 · 2021
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BERT and pals: Projected attention layers for efficient adaptation in multi-task learning
Asa Cooper Stickland and Iain Murray. 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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Reinforcement learning based graph-to-sequence model for natural question generation
Yu Chen, Lingfei Wu, and Mohammed J. Zaki. 2020 · 2020
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MultiWOZ 2.1: A consolidated multi-domain dialogue dataset with state corrections and state tracking baselines
Mihail Eric, Rahul Goel, Shachi Paul, Abhishek Sethi, Sanchit Agarwal, Shuyang Gao, Adarsh Kumar, Anuj Goyal, Peter Ku, and Dilek Hakkani-Tur. 2020 · 2020
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TripPy: A triple copy strategy for value independent neural dialog state tracking
Michael Heck, Carel van Niekerk, Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Marco Moresi, and Milica Gasic. 2020 · 2020
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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 · 2020
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Mintl: Minimalist transfer learning for task-oriented dialogue systems
Zhaojiang Lin, Andrea Madotto, Genta Indra Winata, and Pascale Fung. 2020 · 2020
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SOLOIST: building task bots at scale with transfer learning and machine teaching
Baolin Peng, Chunyuan Li, Jinchao Li, Shahin Shayandeh, Lars Liden, and Jianfeng Gao. 2021 · 2021
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Amendable generation for dialogue state tracking
Xin Tian, Liankai Huang, Yingzhan Lin, Siqi Bao, Huang He, Yunyi Yang, Hua Wu, Fan Wang, and Shuqi Sun. 2021 · 2021
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Modelling hierarchical structure between dialogue policy and natural language generator with option framework for task-oriented dialogue system
Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, and Yunjie Gu. 2021 · 2021
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Alternating recurrent dialog model with large-scale pre-trained language models
Qingyang Wu, Yichi Zhang, Yu Li, and Zhou Yu. 2021 · 2021
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UBAR: towards fully end-to-end task-oriented dialog system with GPT-2
Yunyi Yang, Yunhao Li, and Xiaojun Quan. 2021 · 2021
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Efficient task-oriented dialogue systems with response selection as an auxiliary task
Radostin Cholakov and Todor Kolev. 2022 · 2022
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Towards fair evaluation of dialogue state tracking by flexible incorporation of turn-level performances
Suvodip Dey, Ramamohan Kummara, and Maunendra Desarkar. 2022 · 2022
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Hierarchical inductive transfer for continual dialogue learning
Shaoxiong Feng, Xuancheng Ren, Kan Li, and Xu Sun. 2022 · 2022
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GALAXY: A generative pre-trained model for task-oriented dialog with semi-supervised learning and explicit policy injection
Wanwei He, Yinpei Dai, Yinhe Zheng, Yuchuan Wu, Zheng Cao, Dermot Liu, Peng Jiang, Min Yang, Fei Huang, Luo Si, Jian Sun, and Yongbin Li. 2022b · 2022
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Multi-task pre-training for plug-and-play task-oriented dialogue system
Yixuan Su, Lei Shu, Elman Mansimov, Arshit Gupta, Deng Cai, Yi-An Lai, and Yi Zhang. 2022 · 2022
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BORT: back and denoising reconstruction for end-to-end task-oriented dialog
Haipeng Sun, Junwei Bao, Youzheng Wu, and Xiaodong He. 2022a · 2022
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Structured and natural responses co-generation for conversational search
Chenchen Ye, Lizi Liao, Fuli Feng, Wei Ji, and Tat-Seng Chua. 2022 · 2022
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Description-driven task-oriented dialog modeling
Jeffrey Zhao, Raghav Gupta, Yuan Cao, Dian Yu, Mingqiu Wang, Harrison Lee, Abhinav Rastogi, Izhak Shafran, and Yonghui Wu. 2022 · 2022
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