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Enabling open-domain dialogue systems to ask clarifying questions when appropriate is an important direction for improving the quality of the system response.
RoBERTa: A robustly optimized BERT pretraining approach
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Acute-eval: Improved dialogue evaluation with optimized questions and multi-turn comparisons
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Okapi at TREC-3
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Proceedings of the 8th text retrieval conference
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Machines and mindlessness: Social responses to computers
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Towards a human-like open-domain chatbot
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Evaluating web-based question answering systems
Dragomir R. Radev, Hong Qi, Harris Wu, and Weiguo Fan. 2002 · 2002
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Improving personalized web search using result diversification
Filip Radlinski and Susan Dumais. 2006 · 2006
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ConvAI3: Generating clarifying questions for open-domain dialogue systems (ClariQ)
Mohammad Aliannejadi, Julia Kiseleva, Aleksandr Chuklin, Jeff Dalton, and Mikhail S. Burtsev. 2020 · 2009
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Overview of the TREC 2009 web track
Charles L. A. Clarke, Nick Craswell, and Ian Soboroff. 2009 · 2009
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Bart: Bayesian additive regression trees
Hugh A Chipman, Edward I George, Robert E McCulloch, et al. 2010 · 2010
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A clarifying question selection system from ntes_along in ConvAI3 challenge
Wenjie Ou and Yue Lin. 2020 · 2010
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Personalized diversification of search results
David Vallet and Pablo Castells. 2012 · 2012
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A theoretical analysis of NDCG type ranking measures
Yining Wang, Liwei Wang, Yuanzhi Li, Di He, and Tie-Yan Liu. 2013 · 2013
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Extending faceted search to the general web
Weize Kong and James Allan. 2014 · 2014
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Query suggestion with diversification and personalization
Di Jiang, Kenneth Wai-Ting Leung, Lingxiao Yang, and Wilfred Ng. 2015 · 2015
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To suggest, or not to suggest for queries with diverse intents: Optimizing search result presentation
Makoto P Kato and Katsumi Tanaka. 2016 · 2016
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Precision-oriented query facet extraction
Weize Kong and James Allan. 2016 · 2016
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A user simulator for task-completion dialogues
Xiujun Li, Zachary C Lipton, Bhuwan Dhingra, Lihong Li, Jianfeng Gao, and Yun-Nung Chen. 2016 · 2016
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What do you mean exactly? analyzing clarification questions in CQA
Pavel Braslavski, Denis Savenkov, Eugene Agichtein, and Alina Dubatovka. 2017 · 2017
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Search-oriented conversational AI (SCAI)
Mikhail Burtsev, Aleksandr Chuklin, Julia Kiseleva, and Alexey Borisov. 2017 · 2017
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Dialogue learning with human-in-the-loop
Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc’Aurelio Ranzato, and Jason Weston. 2017 · 2017
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Towards an automatic turing test: Learning to evaluate dialogue responses
Ryan Lowe, Michael Noseworthy, Iulian Vlad Serban, Nicolas Angelard-Gontier, Yoshua Bengio, and Joelle Pineau. 2017 · 2017
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Guided dialog policy learning: Reward estimation for multi-domain task-oriented dialog
Ryuichi Takanobu, Hanlin Zhu, and Minlie Huang. 2019 · 2019
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Identifying unclear questions in community question answering websites
Jan Trienes and Krisztian Balog. 2019 · 2019
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Conversational intelligence challenge: Accelerating research with crowd science and open source
Mikhail Burtsev and Varvara Logacheva. 2020 · 2020
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Learning to ask more: Semi-autoregressive sequential question generation under dual-graph interaction
Zi Chai and Xiaojun Wan. 2020 · 2020
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ELECTRA: pre-training text encoders as discriminators rather than generators
Kevin Clark, Minh-Thang Luong, Quoc V. Le, and Christopher D. Manning. 2020 · 2020
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Jekaterina Novikova, Ondřej Dušek, Amanda Cercas Curry, and Verena Rieser. 2017 · 2017
Cited alongside, same era.
The first conversational intelligence challenge
Mikhail Burtsev, Varvara Logacheva, Valentin Malykh, Iulian Vlad Serban, Ryan Lowe, Shrimai Prabhumoye, Alan W Black, Alexander Rudnicky, and Yoshua Bengio. 2018 · 2018
Cited alongside, same era.
Learning to ask good questions: Ranking clarification questions using neural expected value of perfect information
Sudha Rao and Hal Daumé III. 2018 · 2018
Cited alongside, same era.
A structured review of the validity of bleu
Ehud Reiter. 2018 · 2018
Cited alongside, same era.
Discriminative deep dyna-q: Robust planning for dialogue policy learning
Shang-Yu Su, Xiujun Li, Jianfeng Gao, Jingjing Liu, and Yun-Nung Chen. 2018 · 2018
Cited alongside, same era.
Learning to ask questions in open-domain conversational systems with typed decoders
Yansen Wang, Chenyi Liu, Minlie Huang, and Liqiang Nie. 2018 · 2018
Cited alongside, same era.
Personalizing dialogue agents: I have a dog, do you have pets too?
Saizheng Zhang, Emily Dinan, Jack Urbanek, Arthur Szlam, Douwe Kiela, and Jason Weston. 2018 · 2018
Cited alongside, same era.
Jeff Dalton, Aleksandr Chuklin, Julia Kiseleva, and Mikhail Burtsev. 2020 · 2020
Later among the works it cites.
The second conversational intelligence challenge (ConvAI2)
Emily Dinan, Varvara Logacheva, Valentin Malykh, Alexander Miller, Kurt Shuster, Jack Urbanek, Douwe Kiela, Arthur Szlam, Iulian Serban, Ryan Lowe, et al. 2020 · 2020
Later among the works it cites.
Challenges in building intelligent open-domain dialog systems
Minlie Huang, Xiaoyan Zhu, and Jianfeng Gao. 2020 · 2020
Later among the works it cites.
Analysing the effect of clarifying questions on document ranking in conversational search
Antonios Minas Krasakis, Mohammad Aliannejadi, Nikos Voskarides, and Evangelos Kanoulas. 2020 · 2020
Later among the works it cites.
Guided dialogue policy learning without adversarial learning in the loop
Ziming Li, Sungjin Lee, Baolin Peng, Jinchao Li, Julia Kiseleva, Maarten de Rijke, Shahin Shayandeh, and Jianfeng Gao. 2020 · 2020
Later among the works it cites.
Leading conversational search by suggesting useful questions
Corby Rosset, Chenyan Xiong, Xia Song, Daniel Campos, Nick Craswell, Saurabh Tiwary, and Paul Bennett. 2020 · 2020
Later among the works it 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. 2020 · 2020
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Analysing mixed initiatives and search strategies during conversational search
Mohammad Aliannejadi, Leif Azzopardi, Hamed Zamani, Paul Thomas, and Nick Craswell. 2021 · 2021
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DEUS: A data-driven approach to estimate user satisfaction in multi-turn dialogues
Ziming Li, Dookun Park, Julia Kiseleva, Young-Bum Kim, and Sungjin Lee. 2021 · 2021
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Ranking clarifying questions based on predicted user engagement
Tom Lotze, Stefan Klut, Mohammad Aliannejadi, and Evangelos Kanoulas. 2021 · 2021
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Recipes for building an open-domain chatbot
Stephen Roller, Emily Dinan, Naman Goyal, Da Ju, Mary Williamson, Yinhan Liu, Jing Xu, Myle Ott, Eric Michael Smith, Y-Lan Boureau, and Jason Weston. 2021 · 2021
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User engagement prediction for clarification in search
Ivan Sekulic, Mohammad Aliannejadi, and Fabio Crestani. 2021 · 2021
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NLQuAD: A non-factoid long question answering data set
Amir Soleimani, Christof Monz, and Marcel Worring. 2021 · 2021
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