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We present CovidQA, the beginnings of a question answering dataset specifically designed for COVID-19, built by hand from knowledge gathered from Kaggle's COVID-19 Open Research Dataset Challenge.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2019 · 1910
Earlier work this paper cites.
Okapi at TREC-4
Stephen E. Robertson, Steve Walker, Micheline Hancock-Beaulieu, Mike Gatford, and A. Payne. 1995 · 1995
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The TREC-8 question answering track evaluation
Ellen M. Voorhees and Dawn M. Tice. 1999 · 1999
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Overview of the TREC 2001 question answering track
Ellen M. Voorhees. 2001 · 2001
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What makes a good answer? The role of context in question answering
Jimmy Lin, Dennis Quan, Vineet Sinha, Karun Bakshi, David Huynh, Boris Katz, and David R. Karger. 2003 · 2003
Earlier work this paper cites.
Document ranking with a pretrained sequence-to-sequence model
Rodrigo Nogueira, Zhiying Jiang, and Jimmy Lin. 2020 · 2003
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Edwin Zhang, Nikhil Gupta, Rodrigo Nogueira, Kyunghyun Cho, and Jimmy Lin. 2020 · 2004
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High accuracy retrieval with multiple nested ranker
Irina Matveeva, Chris Burges, Timo Burkard, Andy Laucius, and Leon Wong. 2006 · 2006
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MS MARCO: A human generated MAchine Reading COmprehension dataset
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Cascade ranking for operational e-commerce search
Shichen Liu, Fei Xiao, Wenwu Ou, and Luo Si. 2017 · 2017
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Anserini: enabling the use of Lucene for information retrieval research
Peilin Yang, Hui Fang, and Jimmy Lin. 2017 · 2017
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Anserini: reproducible ranking baselines using Lucene
Peilin Yang, Hui Fang, and Jimmy Lin. 2018 · 2018
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SciBERT: A pretrained language model for scientific text
Iz Beltagy, Kyle Lo, and Arman Cohan. 2019 · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
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BioBERT: a pre-trained biomedical language representation model for biomedical text mining
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Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
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