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Asking clarifying questions in response to ambiguous or faceted queries has been recognized as a useful technique for various information retrieval systems, especially conversational search systems with limited bandwidth interfaces.
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Diederik P. Kingma and Jimmy Ba. 2014 · 2014
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Svetlana Stoyanchev, Alex Liu, and Julia Hirschberg. 2014 · 2014
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Response Ranking with Deep Matching Networks and External Knowledge in Information-Seeking Conversation Systems. In SIGIR ’18
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Towards Conversational Search and Recommendation: System Ask, User Respond. In CIKM ’18
Yongfeng Zhang, Xu Chen, Qingyao Ai, Liu Yang, and W. Bruce Croft. 2018 · 2018
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Asking Clarifying Questions in Open-Domain Information-Seeking Conversations. In SIGIR ’19
Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, and W. Bruce Croft. 2019 · 2019
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TREC CAsT 2019: The Conversational Assistance Track Overview. In TREC ’19
Jeffrey Dalton, Chenyan Xiong, and Jamie Callan. 2019 · 2019
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL ’19
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Performance Prediction for Non-Factoid Question Answering. In ICTIR ’19
Helia Hashemi, Hamed Zamani, and W. Bruce Croft. 2019 · 2019
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Passage Re-ranking with BERT
Rodrigo Nogueira and Kyunghyun Cho. 2019 · 2019
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Answer-based Adversarial Training for Generating Clarification Questions. In NAACL ’19
Sudha Rao and Hal Daumé III. 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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Identifying Unclear Questions in Community Question Answering Websites. In ECIR ’19
Jan Trienes and Krisztian Balog. 2019 · 2019
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Macaw: An Extensible Conversational Information Seeking Platform. In SIGIR ’20
Hamed Zamani and Nick Craswell. 2020 · 2020
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