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Recent work has shown that an answer verification step introduced in Transformer-based answer selection models can significantly improve the state of the art in Question Answering.
A compare-aggregate model with latent clustering for answer selection
Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, and Kyomin Jung. 2019 · 1905
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Retrieve, read, rerank: Towards end-to-end multi-document reading comprehension
Minghao Hu, Yuxing Peng, Zhen Huang, and Dongsheng Li. 2019 · 1906
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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
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Noise-contrastive estimation for answer selection with deep neural networks
Jinfeng Rao, Hua He, and Jimmy J. Lin. 2016 · 1916
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The TREC-8 Question Answering Track Evaluation , pages 77–82. Department of Commerce, National Institute of Standards and Technology
E. Voorhees and D. Tice. 1999 · 1999
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More accurate tests for the statistical significance of result differences
Alexander S. Yeh. 2000 · 2000
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A study on efficiency, accuracy and document structure for answer sentence selection
Daniele Bonadiman and Alessandro Moschitti. 2020 · 2003
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What is the Jeopardy model? a quasi-synchronous grammar for QA
Mengqiu Wang, Noah A. Smith, and Teruko Mitamura. 2007 · 2007
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2014 · 2014
Cited alongside, same era.
Learning to rank short text pairs with convolutional deep neural networks
Aliaksei Severyn and Alessandro Moschitti. 2015 · 2015
Cited alongside, same era.
Selqa: A new benchmark for selection-based question answering
T. Jurczyk, M. Zhai, and J. D. Choi. 2016 · 2016
Cited alongside, same era.
Reading wikipedia to answer open-domain questions
Danqi Chen, Adam Fisch, Jason Weston, and Antoine Bordes. 2017 · 2017
Cited alongside, same era.
Inter-weighted alignment network for sentence pair modeling
Gehui Shen, Yunlun Yang, and Zhi-Hong Deng. 2017 · 2017
Cited alongside, same era.
Wikiqa: A challenge dataset for open-domain question answering
Yi Yang, Wen-tau Yih, and Christopher Meek. 2015 · 2018
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Swag: A large-scale adversarial dataset for grounded commonsense inference
Rowan Zellers, Yonatan Bisk, Roy Schwartz, and Yejin Choi. 2018 · 2018
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TANDA: transfer and adapt pre-trained transformer models for answer sentence selection
Siddhant Garg, Thuy Vu, and Alessandro Moschitti. 2020 · 2020
Later among the works it cites.
Ranking via partial ordering for answer selection
Zan-Xia Jin, Bo-Wen Zhang, Fang Zhou, Jingyan Qin, and Xu-Cheng Yin. 2020 · 2020
Later among the works it cites.
Dense passage retrieval for open-domain question answering
Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick S. H. Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih. 2020 · 2020
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Bernhard Kratzwald and Stefan Feuerriegel. 2018 · 2018
Cited alongside, same era.
Integrating question classification and deep learning for improved answer selection
Harish Tayyar Madabushi, Mark Lee, and John Barnden. 2018 · 2018
Cited alongside, same era.
FEVER: a large-scale dataset for fact extraction and VERification
James Thorne, Andreas Vlachos, Christos Christodoulopoulos, and Arpit Mittal. 2018 · 2018
Cited alongside, same era.
Md Tahmid Rahman Laskar, Jimmy Xiangji Huang, and Enamul Hoque. 2020 · 2020
Later among the works it cites.
Joint models for answer verification in question answering systems
Zeyu Zhang, Thuy Vu, and Alessandro Moschitti. 2021 · 2021
Later among the works it cites.