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Annotating task-oriented dialogues is notorious for the expensive and difficult data collection process.
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
Earlier work this paper cites.
Multi-domain dialogue state tracking as dynamic knowledge graph enhanced question answering
Li Zhou and Kevin Small. 2019 · 1911
Earlier work this paper cites.
An iterative design methodology for user-friendly natural language office information applications
John F Kelley. 1984 · 1984
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.
ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
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
Earlier work this paper cites.
Partially observable markov decision processes for spoken dialog systems
Jason D Williams and Steve Young. 2007 · 2007
Earlier work this paper cites.
Dialoglue: A natural language understanding benchmark for task-oriented dialogue
Shikib Mehri, Mihail Eric, and Dilek Hakkani-Tur. 2020 · 2009
Earlier work this paper cites.
Ting Han, Ximing Liu, Ryuichi Takanobu, Yixin Lian, Chongxuan Huang, Wei Peng, and Minlie Huang. 2020 · 2010
Earlier work this paper cites.
Few-shot text generation with pattern-exploiting training
Timo Schick and Hinrich Schütze. 2020 · 2012
Earlier work this paper cites.
The dialog state tracking challenge series
Jason D Williams, Matthew Henderson, Antoine Raux, Blaise Thomson, Alan Black, and Deepak Ramachandran. 2014 · 2014
Earlier work this paper cites.
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, Ultes Stefan, Ramadan Osman, and Milica Gašić. 2018 · 2018
Earlier work this paper cites.
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
Earlier work this paper cites.
Don’t give me the details, just the summary! topic-aware convolutional neural networks for extreme summarization
Shashi Narayan, Shay B Cohen, and Mirella Lapata. 2018 · 2018
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Earlier work this paper cites.
Dialog state tracking: A neural reading comprehension approach
Shuyang Gao, Abhishek Sethi, Sanchit Agarwal, Tagyoung Chung, and Dilek Hakkani-Tur. 2019 · 2019
Earlier work this paper cites.
Samsum corpus: A human-annotated dialogue dataset for abstractive summarization
Bogdan Gliwa, Iwona Mochol, Maciej Biesek, and Aleksander Wawer. 2019 · 2019
Earlier work this paper cites.
Non-autoregressive dialog state tracking
Hung Le, Richard Socher, and Steven CH Hoi. 2019 · 2019
Earlier work this paper cites.
Scalable and accurate dialogue state tracking via hierarchical sequence generation
Liliang Ren, Jianmo Ni, and Julian McAuley. 2019 · 2019
Earlier work this paper cites.
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
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 Lam. 2020 · 2020
Cited alongside, same era.
Multi-view sequence-to-sequence models with conversational structure for abstractive dialogue summarization
Jiaao Chen and Diyi Yang. 2020 · 2020
Cited alongside, same era.
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
Cited alongside, same era.
Feqa: A question answering evaluation framework for faithfulness assessment in abstractive summarization
Esin Durmus, He He, and Mona Diab. 2020 · 2020
Cited alongside, same era.
Making pre-trained language models better few-shot learners
Tianyu Gao, Adam Fisch, and Danqi Chen. 2021 · 2021
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A bag of tricks for dialogue summarization
Muhammad Khalifa, Miguel Ballesteros, and Kathleen Mckeown. 2021 · 2021
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Zero-shot dialogue state tracking via cross-task transfer
Zhaojiang Lin, Bing Liu, Andrea Madotto, Seungwhan Moon, Zhenpeng Zhou, Paul A Crook, Zhiguang Wang, Zhou Yu, Eunjoon Cho, Rajen Subba, et al. 2021a · 2021
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Leveraging slot descriptions for zero-shot cross-domain dialogue statetracking
Zhaojiang Lin, Bing Liu, Seungwhan Moon, Paul A Crook, Zhenpeng Zhou, Zhiguang Wang, Zhou Yu, Andrea Madotto, Eunjoon Cho, and Rajen Subba. 2021b · 2021
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Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, and Graham Neubig. 2021 · 2021
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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
Cited alongside, same era.
From machine reading comprehension to dialogue state tracking: Bridging the gap
Shuyang Gao, Sanchit Agarwal, Di Jin, Tagyoung Chung, and Dilek Hakkani-Tur. 2020 · 2020
Cited alongside, same era.
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
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 · 2020
Cited alongside, same era.
Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
Cited alongside, same era.
Mintl: Minimalist transfer learning for task-oriented dialogue systems
Zhaojiang Lin, Andrea Madotto, Genta Indra Winata, and Pascale Fung. 2020 · 2020
Cited alongside, same era.
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. 2020 · 2020
Cited alongside, same era.
Few-shot bot: Prompt-based learning for dialogue systems
Andrea Madotto, Zhaojiang Lin, Genta Indra Winata, and Pascale Fung. 2021 · 2021
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Cins: Comprehensive instruction for few-shot learning in task-oriented dialog systems
Fei Mi, Yitong Li, Yasheng Wang, Xin Jiang, and Qun Liu. 2021 · 2021
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Klue: Korean language understanding evaluation
Sungjoon Park, Jihyung Moon, Sungdong Kim, Won Ik Cho, Jiyoon Han, Jangwon Park, Chisung Song, Junseong Kim, Yongsook Song, Taehwan Oh, et al. 2021 · 2021
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Multitask prompted training enables zero-shot task generalization
Victor Sanh, Albert Webson, Colin Raffel, Stephen H Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, et al. 2021 · 2021
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It’s not just size that matters: Small language models are also few-shot learners
Timo Schick and Hinrich Schütze. 2021b · 2021
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Constrained language models yield few-shot semantic parsers
Richard Shin, Christopher H. Lin, Sam Thomson, Charles Chen, Subhro Roy, Emmanouil Antonios Platanios, Adam Pauls, Dan Klein, Jason Eisner, and Benjamin Van Durme. 2021 · 2021
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Retrieval augmentation reduces hallucination in conversation
Kurt Shuster, Spencer Poff, Moya Chen, Douwe Kiela, and Jason Weston. 2021 · 2021
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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. 2021 · 2021
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Controllable abstractive dialogue summarization with sketch supervision
Chien-Sheng Wu, Linqing Liu, Wenhao Liu, Pontus Stenetorp, and Caiming Xiong. 2021 · 2021
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Fanghua Ye, Jarana Manotumruksa, and Emine Yilmaz. 2021 · 2021
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Score: Pre-training for context representation in conversational semantic parsing
Tao Yu, Rui Zhang, Alex Polozov, Christopher Meek, and Ahmed Hassan Awadallah. 2021 · 2021
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Emailsum: Abstractive email thread summarization
Shiyue Zhang, Asli Celikyilmaz, Jianfeng Gao, and Mohit Bansal. 2021 · 2021
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Qmsum: A new benchmark for query-based multi-domain meeting summarization
Ming Zhong, Da Yin, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, et al. 2021 · 2021
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Mediasum: A large-scale media interview dataset for dialogue summarization
Chenguang Zhu, Yang Liu, Jie Mei, and Michael Zeng. 2021 · 2021
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