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Conversational question answering (ConvQA) is a simplified but concrete setting of conversational search.
BERT with History Answer Embedding for Conversational Question Answering
C. Qu, L. Yang, M. Qiu, W. B. Croft, Y. Zhang, and M. Iyyer · 1905
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Information Retrieval through Man-Machine Dialogue
R. N. Oddy · 1977
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I3R: A new approach to the design of document retrieval systems
W. B. Croft and R. H. Thompson · 1987
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Cases , Scripts , and Information-Seeking Strategies : On the Design of Interactive Information Retrieval Systems
N. J. Belkin, C. Cool, A. S., and U. Thiel · 1994
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Towards natural question guided search
A. Kotov and C. Zhai · 2010
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Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval
X. Liu, J. Gao, X. He, L. Deng, K. Duh, and Y.-Y. Wang · 2015
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MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
T. Nguyen, M. Rosenberg, X. Song, J. Gao, S. Tiwary, R. Majumder, and L. Deng · 2016
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SQuAD: 100, 000+ Questions for Machine Comprehension of Text
P. Rajpurkar, J. Zhang, K. Lopyrev, and P. Liang · 2016
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Bidirectional Attention Flow for Machine Comprehension
M. J. Seo, A. Kembhavi, A. Farhadi, and H. Hajishirzi · 2016
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FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension
H.-Y. Huang, C. Zhu, Y. Shen, and W. Chen · 2017
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TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
M. S. Joshi, E. Choi, D. S. Weld, and L. S. Zettlemoyer · 2017
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AliMe Assist : An Intelligent Assistant for Creating an Innovative E-commerce Experience
F.-L. Li, M. Qiu, H. Chen, X. Wang, X. Gao, J. Huang, J. Ren, Z. Zhao, W. Zhao, L. Wang, G. Jin, and W. Chu · 2017
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MISC: A data set of information-seeking conversations
P. Thomas, D. McDuff, M. Czerwinski, and N. Craswell · 2017
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Attention Is All You Need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. Kaiser, and I. Polosukhin · 2017
Cited alongside, same era.
Gated Self-Matching Networks for Reading Comprehension and Question Answering
W. Wang, N. Yang, F. Wei, B. Chang, and M. Zhou · 2017
Cited alongside, same era.
Neural Matching Models for Question Retrieval and Next Question Prediction in Conversation
L. Yang, H. Zamani, Y. Zhang, J. Guo, and W. B. Croft · 2017
Cited alongside, same era.
QuAC: Question Answering in Context
E. Choi, H. He, M. Iyyer, M. Yatskar, W. Yih, Y. Choi, P. Liang, and L. S. Zettlemoyer · 2018
Cited alongside, same era.
Prosody Modifications for Question-Answering in Voice-Only Settings
A. Chuklin, A. Severyn, J. R. Trippas, E. Alfonseca, H. Silén, and D. Spina · 2018
Cited alongside, same era.
Simple and Effective Multi-Paragraph Reading Comprehension
C. Clark and M. Gardner · 2018
Know What You Don’t Know: Unanswerable Questions for SQuAD
P. Rajpurkar, R. Jia, and P. Liang · 2018
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CoQA: A Conversational Question Answering Challenge
S. Reddy, D. Chen, and C. D. Manning · 2018
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Informing the Design of Spoken Conversational Search: Perspective Paper
J. R. Trippas, D. Spina, L. Cavedon, H. Joho, and M. Sanderson · 2018
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Multi-Task Learning for Machine Reading Comprehension
Y. Xu, X. Liu, Y. Shen, J. Liu, and J. Gao · 2018
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Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems
L. Yang, M. Qiu, C. Qu, J. Guo, Y. Zhang, W. B. Croft, J. Huang, and H. Chen · 2018
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Cited alongside, same era.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova · 2018
Cited alongside, same era.
Neural Approaches to Conversational AI
J. Gao, M. Galley, and L. Li · 2018
Cited alongside, same era.
Reinforced Mnemonic Reader for Machine Reading Comprehension
M. Hu, Y. Peng, Z. Huang, X. Qiu, F. Wei, and M. Zhou · 2018
Cited alongside, same era.
FlowQA: Grasping Flow in History for Conversational Machine Comprehension
H.-Y. Huang, E. Choi, and W. Yih · 2018
Cited alongside, same era.
Deep contextualized word representations
M. E. Peters, M. Neumann, M. Iyyer, M. Gardner, C. Clark, K. Lee, and L. S. Zettlemoyer · 2018
Cited alongside, same era.
Analyzing and Characterizing User Intent in Information-seeking Conversations
C. Qu, L. Yang, W. B. Croft, J. R. Trippas, Y. Zhang, and M. Qiu · 2018
Cited alongside, same era.
A Qualitative Comparison of CoQA, SQuAD 2.0 and QuAC
M. Yatskar · 2018
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A Survey on MultiTask Learning
Y. Zhang and Q. Yang · 2018
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Towards Conversational Search and Recommendation: System Ask, User Respond
Y. Zhang, X. Chen, Q. Ai, L. Yang, and W. B. Croft · 2018
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SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
C. Zhu, M. Zeng, and X. Huang · 2018
Later among the works it cites.
A Deep Look into Neural Ranking Models for Information Retrieval
J. Guo, Y. Fan, L. Pang, L. Yang, Q. Ai, H. Zamani, C. Wu, W. B. Croft, and X. Cheng · 2019
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Natural Questions: a Benchmark for Question Answering Research
T. Kwiatkowski, J. Palomaki, O. Redfield, M. Collins, A. Parikh, C. Alberti, D. Epstein, I. Polosukhin, M. Kelcey, J. Devlin, K. Lee, K. N. Toutanova, L. Jones, M.-W. Chang, A. Dai, J. Uszkoreit, Q. Le, and S. Petrov · 2019
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Multi-Task Deep Neural Networks for Natural Language Understanding
X. Liu, P. He, W. Chen, and J. Gao · 2019
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