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The goal of document-grounded dialogue (DocGD) is to generate a response by grounding the evidence in a supporting document in accordance with the dialogue context.
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer. 2019 · 1910
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Bayesian inference for causal effects: The role of randomization
Donald B Rubin. 1978 · 1978
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A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
James Robins. 1986 · 1986
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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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A survey of document grounded dialogue systems (dgds)
Longxuan Ma, Wei-Nan Zhang, Mingda Li, and Ting Liu. 2020 · 2004
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A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2015 · 2015
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Causal inference in statistics: A primer
Madelyn Glymour, Judea Pearl, and Nicholas P Jewell. 2016 · 2016
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Quac: Question answering in context
Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, and Luke Zettlemoyer. 2018 · 2018
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Wizard of wikipedia: Knowledge-powered conversational agents
Emily Dinan, Stephen Roller, Kurt Shuster, Angela Fan, Michael Auli, and Jason Weston. 2018 · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin Ming-Wei Chang Kenton and Lee Kristina Toutanova. 2019 · 2019
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Coqa: A conversational question answering challenge
Siva Reddy, Danqi Chen, and Christopher D Manning. 2019 · 2019
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Paraphrase-Generator
Sai Vamsi Alisetti. 2020 · 2020
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The pushshift reddit dataset
Jason Baumgartner, Savvas Zannettou, Brian Keegan, Megan Squire, and Jeremy Blackburn. 2020 · 2020
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Doqa-accessing domain-specific faqs via conversational qa
Jon Ander Campos, Arantxa Otegi, Aitor Soroa, Jan Milan Deriu, Mark Cieliebak, and Eneko Agirre. 2020 · 2020
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doc2dial: A goal-oriented document-grounded dialogue dataset
Song Feng, Hui Wan, Chulaka Gunasekara, Siva Patel, Sachindra Joshi, and Luis Lastras. 2020 · 2020
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Dense passage retrieval for open-domain question answering
Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih. 2020 · 2020
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Causal inference
Kun Kuang, Lian Li, Zhi Geng, Lei Xu, Kun Zhang, Beishui Liao, Huaxin Huang, Peng Ding, Wang Miao, and Zhichao Jiang. 2020 · 2020
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Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al. 2020 · 2020
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Zero-resource knowledge-grounded dialogue generation
Linxiao Li, Can Xu, Wei Wu, Yufan Zhao, Xueliang Zhao, and Chongyang Tao. 2020 · 2020
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Coarse-to-fine pre-training for named entity recognition
Xue Mengge, Bowen Yu, Zhenyu Zhang, Tingwen Liu, Yue Zhang, and Bin Wang. 2020 · 2020
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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, Peter J Liu, et al. 2020 · 2020
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Mengzi: Towards lightweight yet ingenious pre-trained models for chinese
Zhuosheng Zhang, Hanqing Zhang, Keming Chen, Yuhang Guo, Jingyun Hua, Yulong Wang, and Ming Zhou. 2021 · 2021
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Graph pre-training for amr parsing and generation
Xuefeng Bai, Yulong Chen, and Yue Zhang. 2022 · 2022
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R3 : Refined retriever-reader pipeline for multidoc2dial
Srijan Bansal, Suraj Tripathi, Sumit Agarwal, Sireesh Gururaja, Aditya Srikanth Veerubhotla, Ritam Dutt, Teruko Mitamura, and Eric Nyberg. 2022 · 2022
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Causal inference in natural language processing: Estimation, prediction, interpretation and beyond
Amir Feder, Katherine A Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E Roberts, et al. 2022 · 2022
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Doc2bot: Accessing heterogeneous documents via conversational bots
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Yiquan Wu, Kun Kuang, Yating Zhang, Xiaozhong Liu, Changlong Sun, Jun Xiao, Yueting Zhuang, Luo Si, and Fei Wu. 2020 · 2020
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Counterfactual generator: A weakly-supervised method for named entity recognition
Xiangji Zeng, Yunliang Li, Yuchen Zhai, and Yin Zhang. 2020 · 2020
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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 William B Dolan. 2020 · 2020
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Cascaded span extraction and response generation for document-grounded dialog
Nico Daheim, David Thulke, Christian Dugast, and Hermann Ney. 2021 · 2021
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Multidoc2dial: Modeling dialogues grounded in multiple documents
Song Feng, Siva Sankalp Patel, Hui Wan, and Sachindra Joshi. 2021 · 2021
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Knowledge-grounded dialogue generation with a unified knowledge representation
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Tapex: Table pre-training via learning a neural sql executor
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Unigdd: A unified generative framework for goal-oriented document-grounded dialogue
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A preliminary study of the intrinsic relationship between complexity and alignment
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