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We deal with the scenario of conversational search, where user queries are under-specified or ambiguous.
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.
A study of bert for non-factoid question-answering under passage length constraints
Yosi Mass, Haggai Roitman, Shai Erera, Or Rivlin, Bar Weiner, and David Konopnicki. 2019 · 1908
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Queries as anchors: selection by association
Einat Amitay, Adam Darlow, David Konopnicki, and Uri Weiss. 2005 · 2005
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The probabilistic relevance framework: Bm25 and beyond
Stephen Robertson and Hugo Zaragoza. 2009 · 2009
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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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Data Fusion in Information Retrieval , volume 13
Shengli Wu. 2012 · 2012
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A fixed-point method for weighting terms in verbose informational queries
Jiaul H. Paik and Douglas W. Oard. 2014 · 2014
Cited alongside, same era.
Deep metric learning using triplet network
Elad Hoffer and Nir Ailon. 2015 · 2015
Cited alongside, same era.
Extending a parser to distant domains using a few dozen partially annotated examples
Vidur Joshi, Matthew Peters, and Mark Hopkins. 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.
Asking clarifying questions in open-domain information-seeking conversations
Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, and W. Bruce Croft. 2019 · 2019
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Later among the works it cites.
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 document prediction to assist customer care agents
Jatin Ganhotra, Haggai Roitman, Doron Cohen, Nathaniel Mills, R. Chulaka Gunasekara, Yosi Mass, Sachindra Joshi, Luis A. Lastras, and David Konopnicki. 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.
Generating clarifying questions for information retrieval
Hamed Zamani, Susan Dumais, Nick Craswell, Paul Bennett, and Gord Lueck. 2020 · 2020
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