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Finding answers related to a pandemic of a novel disease raises new challenges for information seeking and retrieval, as the new information becomes available gradually.
CORD-19: The Covid-19 Open Research Dataset
Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, Russell Reas, Jiangjiang Yang, Darrin Eide, Kathryn Funk, Rodney Kinney, Ziyang Liu, William Merrill, Paul Mooney, Dewey Murdick, Devvret Rishi, Jerry Sheehan, Zhihong Shen, Brandon Stilson, Alex D. Wade, Kuansan Wang, Chris Wilhelm, Boya Xie, Douglas Raymond, Daniel S. Weld, Oren Etzioni, and Sebastian Kohlmeier. 2020 · 2004
Earlier work this paper cites.
Supervised learning of universal sentence representations from natural language inference data
Alexis Conneau, Douwe Kiela, Holger Schwenk, Loïc Barrault, and Antoine Bordes. 2017 · 2017
Earlier work this paper cites.
Deep Relevance Ranking Using Enhanced Document-Query Interactions
Ryan McDonald, George Brokos, and Ion Androutsopoulos. 2018 · 2018
Earlier work this paper cites.
From neural re-ranking to neural ranking: Learning a sparse representation for inverted indexing
Hamed Zamani, Mostafa Dehghani, W. Bruce Croft, Erik Learned-Miller, and Jaap Kamps. 2018 · 2018
Earlier work this paper cites.
Cross-domain modeling of sentence-level evidence for document retrieval
Zeynep Akkalyoncu Yilmaz, Wei Yang, Haotian Zhang, and Jimmy Lin. 2019 · 2019
Earlier work this paper cites.
Deeper Text Understanding for IR with Contextual Neural Language Modeling
Zhuyun Dai and Jamie Callan. 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
Cited alongside, same era.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang. 2019 · 2019
Cited alongside, same era.
Neural hype, justified! a recantation
Jimmy Lin. 2019 · 2019
Cited alongside, same era.
ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing
Mark Neumann, Daniel King, Iz Beltagy, and Waleed Ammar. 2019 · 2019
Cited alongside, same era.
Rodrigo Nogueira and Kyunghyun Cho. 2019 · 2019
Later among the works it cites.
Sentence-BERT: Sentence embeddings using Siamese BERT-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
Later among the works it cites.
Let’s measure run time! Extending the IR replicability infrastructure to include performance aspects
Allan Hanbury Sebastian Hofstatter. 2019 · 2019
Later among the works it cites.
Critically examining the “neural hype”: Weak baselines and the additivity of effectiveness gains from neural ranking models
Wei Yang, Kuang Lu, Peilin Yang, and Jimmy Lin. 2019 · 2019
Later among the works it cites.
TREC-COVID: Rationale and Structure of an Information Retrieval Shared Task for COVID-19
Kirk Roberts, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, Kyle Lo, Ian Soboroff, Ellen Voorhees, Lucy Lu Wang, and William Hersh. 2020 · 2020
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