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In this paper, we report the results of our participation in the TREC-COVID challenge.
Terrier information retrieval platform
Iadh Ounis, Gianni Amati, Vassilis Plachouras, Ben He, Craig Macdonald, and Douglas Johnson · 2005
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Lessons from the netflix prize challenge
Robert M. Bell and Yehuda Koren · 2007
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Incorporating term dependency in the dfr framework
Jie Peng, Craig Macdonald, Ben He, Vassilis Plachouras, and Iadh Ounis · 2007
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Listwise approach to learning to rank: theory and algorithm
Fen Xia, Tie-Yan Liu, Jue Wang, Wensheng Zhang, and Hang Li · 2008
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The elements of statistical learning: data mining, inference, and prediction
Trevor Hastie, Robert Tibshirani, and Jerome Friedman · 2009
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Reciprocal rank fusion outperforms condorcet and individual rank learning methods
Gordon V. Cormack, Charles L A Clarke, and Stefan Buettcher · 2009
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Learning to rank using an ensemble of lambda-gradient models
Christopher Burges, Krysta Svore, Paul Bennett, Andrzej Pastusiak, and Qiang Wu · 2011
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Hashing with graphs
Wei Liu, Jun Wang, Sanjiv Kumar, and Shih-Fu Chang · 2011
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Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2014
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Deep sentence embedding using long short-term memory networks: Analysis and application to information retrieval
Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, and Rabab Ward · 2016
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Ms marco: A human generated machine reading comprehension dataset
Payal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Nguyen, et al · 2016
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Clef 2017 technologically assisted reviews in empirical medicine overview
Evangelos Kanoulas, Dan Li, Leif Azzopardi, and Rene Spijker · 2017
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Anserini: Enabling the use of lucene for information retrieval research
Peilin Yang, Hui Fang, and Jimmy Lin · 2017
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Billion-scale similarity search with gpus
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Electra: Pre-training text encoders as discriminators rather than generators
Kevin Clark, Minh-Thang Luong, Quoc V Le, and Christopher D Manning · 2019
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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
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Trec-covid: Constructing a pandemic information retrieval test collection
Ellen Voorhees, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, William R Hersh, Kyle Lo, Kirk Roberts, Ian Soboroff, and Lucy Lu Wang · 2020
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Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Nogueira, Kyunghyun Cho, Hui Fang, and Jimmy Lin · 2020
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin · 2017
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End-to-end retrieval in continuous space
Daniel Gillick, Alessandro Presta, and Gaurav Singh Tomar · 2018
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Deep relevance ranking using enhanced document-query interactions
Ryan McDonald, George Brokos, and Ion Androutsopoulos · 2018
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Sean MacAvaney, Arman Cohan, and Nazli Goharian · 2020
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Learning-to-rank with bert in tf-ranking
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Dense passage retrieval for open-domain question answering
Vladimir Karpukhin, Barlas Oğuz, Sewon Min, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih · 2020
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Zero-shot neural retrieval via domain-targeted synthetic query generation
Ji Ma, I. Korotkov, Yin-Fei Yang, K. Hall, and R. McDonald · 2020
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