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Existing conversational search studies mainly focused on asking better clarifying questions and/or improving search result quality.
Few-shot generative conversational query rewriting. In Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval . 1933–1936
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Controlling the Risk of Conversational Search via Reinforcement Learning. In Proceedings of the Web Conference 2021 . 1968–1977
Zhenduo Wang and Qingyao Ai. 2021 · 1977
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I3R: A new approach to the design of document retrieval systems
W Bruce Croft and Roger H Thompson. 1987 · 1987
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Cases, scripts, and information-seeking strategies: On the design of interactive information retrieval systems
Nicholas J Belkin, Colleen Cool, Adelheit Stein, and Ulrich Thiel. 1995 · 1995
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An autonomous land vehicle in a neural network
D Pomerleau. 1998 · 1998
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Cumulated gain-based evaluation of IR techniques
Kalervo Järvelin and Jaana Kekäläinen. 2002 · 2002
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Bleu: a method for automatic evaluation of machine translation. In Proceedings of the 40th annual meeting of the Association for Computational Linguistics . 311–318
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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HARD track overview in TREC 2003 high accuracy retrieval from documents
James Allan. 2005 · 2003
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Apprenticeship learning via inverse reinforcement learning. In Proceedings of the twenty-first international conference on Machine learning . 1
Pieter Abbeel and Andrew Y Ng. 2004 · 2004
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METEOR: An automatic metric for MT evaluation with improved correlation with human judgments. In Proceedings of the acl workshop on intrinsic and extrinsic evaluation measures for machine translation and/or summarization . 65–72
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
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Experiments with interactive question-answering. In Proceedings of the 43rd annual meeting of the association for computational linguistics (ACL’05) . 205–214
Sanda Harabagiu, Andrew Hickl, John Lehmann, and Dan Moldovan. 2005 · 2005
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Rank-biased precision for measurement of retrieval effectiveness
Alistair Moffat and Justin Zobel. 2008 · 2008
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Maximum entropy inverse reinforcement learning.. In Aaai , Vol. 8. Chicago, IL, USA, 1433–1438
Brian D Ziebart, Andrew L Maas, J Andrew Bagnell, Anind K Dey, et al · 2008
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Expected reciprocal rank for graded relevance. In Proceedings of the 18th ACM conference on Information and knowledge management . 621–630
Olivier Chapelle, Donald Metlzer, Ya Zhang, and Pierre Grinspan. 2009 · 2009
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Questionnaires for eliciting evaluation data from users of interactive question answering systems
Diane Kelly, Paul B Kantor, Emile L Morse, Jean Scholtz, and Ying Sun. 2009 · 2009
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014 · 2014
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The ubuntu dialogue corpus: A large dataset for research in unstructured multi-turn dialogue systems
Ryan Lowe, Nissan Pow, Iulian Serban, and Joelle Pineau. 2015 · 2015
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Deep inverse reinforcement learning
Markus Wulfmeier, Peter Ondruska, and Ingmar Posner. 2015a · 2015
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Maximum entropy deep inverse reinforcement learning
Markus Wulfmeier, Peter Ondruska, and Ingmar Posner. 2015b · 2015
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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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Towards end-to-end reinforcement learning of dialogue agents for information access
Bhuwan Dhingra, Lihong Li, Xiujun Li, Jianfeng Gao, Yun-Nung Chen, Faisal Ahmed, and Li Deng. 2016 · 2016
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Policy networks with two-stage training for dialogue systems
Mehdi Fatemi, Layla El Asri, Hannes Schulz, Jing He, and Kaheer Suleman. 2016 · 2016
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Chelsea Finn, Paul Christiano, Pieter Abbeel, and Sergey Levine. 2016 · 2016
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Generative adversarial imitation learning
Jonathan Ho and Stefano Ermon. 2016 · 2016
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Neural belief tracker: Data-driven dialogue state tracking
Nikola Mrkšić, Diarmuid O Séaghdha, Tsung-Hsien Wen, Blaise Thomson, and Steve Young. 2016 · 2016
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A network-based end-to-end trainable task-oriented dialogue system
Tsung-Hsien Wen, David Vandyke, Nikola Mrksic, Milica Gasic, Lina M Rojas-Barahona, Pei-Hao Su, Stefan Ultes, and Steve Young. 2016 · 2016
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End-to-end differentiable adversarial imitation learning. In International Conference on Machine Learning . PMLR, 390–399
Nir Baram, Oron Anschel, Itai Caspi, and Shie Mannor. 2017 · 2017
Cited alongside, same era.
Imitation learning: A survey of learning methods
Ahmed Hussein, Mohamed Medhat Gaber, Eyad Elyan, and Chrisina Jayne. 2017 · 2017
Cited alongside, same era.
Least squares generative adversarial networks. In Proceedings of the IEEE international conference on computer vision . 2794–2802
Xudong Mao, Qing Li, Haoran Xie, Raymond YK Lau, Zhen Wang, and Stephen Paul Smolley. 2017 · 2017
Cited alongside, same era.
Composite task-completion dialogue policy learning via hierarchical deep reinforcement learning
Baolin Peng, Xiujun Li, Lihong Li, Jianfeng Gao, Asli Celikyilmaz, Sungjin Lee, and Kam-Fai Wong. 2017 · 2017
Cited alongside, same era.
A theoretical framework for conversational search. In Proceedings of the 2017 conference on conference human information interaction and retrieval . 117–126
Knowledge-based Conversational Search
Svitlana Vakulenko. 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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Asking clarification questions in knowledge-based question answering. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) . 1618–1629
Jingjing Xu, Yuechen Wang, Duyu Tang, Nan Duan, Pengcheng Yang, Qi Zeng, Ming Zhou, and Xu Sun. 2019 · 2019
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Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 2019
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Filip Radlinski and Nick Craswell. 2017 · 2017
Cited alongside, same era.
Conceptualizing agent-human interactions during the conversational search process. In The second international workshop on conversational approaches to information retrieval
Leif Azzopardi, Mateusz Dubiel, Martin Halvey, and Jeffery Dalton. 2018 · 2018
Cited alongside, same era.
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
Cited alongside, same era.
Neural approaches to conversational ai. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval . 1371–1374
Jianfeng Gao, Michel Galley, and Lihong Li. 2018 · 2018
Cited alongside, same era.
Toward voice query clarification. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval . 1257–1260
Johannes Kiesel, Arefeh Bahrami, Benno Stein, Avishek Anand, and Matthias Hagen. 2018 · 2018
Cited alongside, same era.
Sequicity: Simplifying task-oriented dialogue systems with single sequence-to-sequence architectures. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . 1437–1447
Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He, and Dawei Yin. 2018 · 2018
Cited alongside, same era.
Towards designing better session search evaluation metrics. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval . 1121–1124
Mengyang Liu, Yiqun Liu, Jiaxin Mao, Cheng Luo, and Shaoping Ma. 2018 · 2018
Cited alongside, same era.
Analyzing and Characterizing User Intent in Information-seeking Conversations.. In SIGIR ’18
C. Qu, L. Yang, W. B. Croft, J. Trippas, Y. Zhang, and M. Qiu. 2018 · 2018
Cited alongside, same era.
Tiancheng Zhao, Kaige Xie, and Maxine Eskenazi. 2019 · 2019
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ConvAI3: Generating clarifying questions for open-domain dialogue systems (ClariQ)
Mohammad Aliannejadi, Julia Kiseleva, Aleksandr Chuklin, Jeff Dalton, and Mikhail Burtsev. 2020 · 2020
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Conversational search (dagstuhl seminar 19461). In Dagstuhl Reports , Vol. 9. Schloss Dagstuhl-Leibniz-Zentrum für Informatik
Avishek Anand, Lawrence Cavedon, Hideo Joho, Mark Sanderson, and Benno Stein. 2020 · 2020
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Tutorial on Conversational Recommendation Systems. In Fourteenth ACM Conference on Recommender Systems . 751–753
Zuohui Fu, Yikun Xian, Yongfeng Zhang, and Yi Zhang. 2020 · 2020
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Robust conversational AI with grounded text generation
Jianfeng Gao, Baolin Peng, Chunyuan Li, Jinchao Li, Shahin Shayandeh, Lars Liden, and Heung-Yeung Shum. 2020 · 2020
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Challenges in the Evaluation of Conversational Search Systems.. In Converse@ KDD
Gustavo Penha and Claudia Hauff. 2020 · 2020
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IART: Intent-aware response ranking with transformers in information-seeking conversation systems. In Proceedings of The Web Conference 2020 . 2592–2598
Liu Yang, Minghui Qiu, Chen Qu, Cen Chen, Jiafeng Guo, Yongfeng Zhang, W Bruce Croft, and Haiqing Chen. 2020 · 2020
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Macaw: An extensible conversational information seeking platform. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval . 2193–2196
Hamed Zamani and Nick Craswell. 2020 · 2020
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Generating clarifying questions for information retrieval. In Proceedings of The Web Conference 2020 . 418–428
Hamed Zamani, Susan Dumais, Nick Craswell, Paul Bennett, and Gord Lueck. 2020a · 2020
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Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions
Mohammad Aliannejadi, Julia Kiseleva, Aleksandr Chuklin, Jeffrey Dalton, and Mikhail Burtsev. 2021 · 2021
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Conversational AI from an Information Retrieval Perspective: Remaining Challenges and a Case for User Simulation
Krisztian Balog. 2021 · 2021
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Asking Clarifying Questions Based on Negative Feedback in Conversational Search. In Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval . 157–166
Keping Bi, Qingyao Ai, and W Bruce Croft. 2021 · 2021
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Towards multi-modal conversational information seeking. In Proceedings of the ACM Conference on Research and Development in Information Retrieval, SIGIR , Vol. 21
Yashar Deldjoo, Johanne R Trippas, and Hamed Zamani. 2021 · 2021
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Conversational Search and Recommendation: Introduction to the Special Issue
Claudia Hauff, Julia Kiseleva, Mark Sanderson, Hamed Zamani, and Yongfeng Zhang. 2021 · 2021
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A Conceptual Framework for Implicit Evaluation of Conversational Search Interfaces
Abhishek Kaushik and Gareth JF Jones. 2021 · 2021
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How Am I Doing?: Evaluating Conversational Search Systems Offline
ALDO LIPANI, BEN CARTERETTE, and EMINE YILMAZ. 2021 · 2021
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Few-Shot Conversational Dense Retrieval
Shi Yu, Zhenghao Liu, Chenyan Xiong, Tao Feng, and Zhiyuan Liu. 2021 · 2021
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Conversational Question Answering: A Survey
Munazza Zaib, Wei Emma Zhang, Quan Z Sheng, Adnan Mahmood, and Yang Zhang. 2021 · 2021
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Neural Approaches to Conversational Information Retrieval
Jianfeng Gao, Chenyan Xiong, Paul Bennett, and Nick Craswell. 2022 · 2022
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Simulating and Modeling the Risk of Conversational Search
Zhenduo Wang and Qingyao Ai. 2022 · 2022
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Conversational Information Seeking
Hamed Zamani, Johanne R Trippas, Jeff Dalton, and Filip Radlinski. 2022 · 2022
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Recent advances and challenges in task-oriented dialog systems
Zheng Zhang, Ryuichi Takanobu, Qi Zhu, MinLie Huang, and XiaoYan Zhu. 2020 · 2027
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