This is a list of papers about the TREC-COVID challenge as
contributed by their authors. Suggest a paper to be added
to the bibliography here.
Almeida, Tiago, and Sérgio Matos. 2020.
“Frugal Neural Reranking: Evaluation on the Covid-19
Literature.” In Proceedings of the 1st Workshop on NLP for
COVID-19 (Part 2) at EMNLP 2020. Online: Association for
Computational Linguistics. https://www.aclweb.org/anthology/2020.nlpcovid19-2.3.
Bendersky, Michael, Honglei Zhuang, Ji Ma,
Shuguang Han, Keith Hall, and Ryan McDonald. 2020. “RRF102:
Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble.” ArXiv:2010.00200
[Cs], October. http://arxiv.org/abs/2010.00200.
Benham, Rodger, Alistair Moffat, and J.
Shane Culpepper. 2020. “RMITB at TREC COVID 2020.” ArXiv:2011.04830
[Cs], November. http://arxiv.org/abs/2011.04830.
Esteva, Andre, Anuprit Kale, Romain Paulus,
Kazuma Hashimoto, Wenpeng Yin, Dragomir Radev, and Richard
Socher. 2020. “CO-Search: COVID-19 Information Retrieval with
Semantic Search, Question Answering, and Abstractive
Summarization.” ArXiv:2006.09595 [Cs], June. http://arxiv.org/abs/2006.09595.
Li, Canjia, Andrew Yates, Sean MacAvaney,
Ben He, and Yingfei Sun. 2020. “PARADE: Passage Representation
Aggregation for Document Reranking.” ArXiv:2008.09093 [Cs],
August. http://arxiv.org/abs/2008.09093.
MacAvaney, Sean, Arman Cohan, and Nazli
Goharian. 2020. “SLEDGE: A Simple Yet Effective Baseline for
COVID-19 Scientific Knowledge Search.” ArXiv:2005.02365 [Cs],
August. http://arxiv.org/abs/2005.02365.
Nguyen, Vincent, Maciek Rybinski, Sarvnaz
Karimi, and Zhenchang Xing. 2020. “Searching Scientific
Literature for Answers on COVID-19 Questions.” ArXiv:2007.02492
[Cs], July. http://arxiv.org/abs/2007.02492.
Roberts, Kirk, Tasmeer Alam, Steven
Bedrick, Dina Demner-Fushman, Kyle Lo, Ian Soboroff, Ellen
Voorhees, Lucy Lu Wang, and William R. Hersh. 2020. “TREC-COVID:
Rationale and Structure of an Information Retrieval Shared Task
for COVID-19.” Journal of the American Medical Informatics
Association: JAMIA 27 (9): 1431–36. https://doi.org/10.1093/jamia/ocaa091.
Schoegje, Thomas, Chris Kamphuis, Koen
Dercksen, Djoerd Hiemstra, Toine Pieters, and Arjen de Vries.
2020. “Exploring Term Expansion for Task-Based Retrieval at the
TREC-COVID Track.” ArXiv:2010.12674 [Cs], October. http://arxiv.org/abs/2010.12674.
Soni, Sarvesh, and Kirk Roberts. 2020. “An
Evaluation of Two Commercial Deep Learning-Based Information
Retrieval Systems for COVID-19 Literature.” ArXiv:2007.03106
[Cs], July. http://arxiv.org/abs/2007.03106.
Voorhees, Ellen, Tasmeer Alam, Dina
Demner-Fushman, William R Hersh, and Kyle Lo. 2020. “TREC-COVID:
Constructing a Pandemic Information Retrieval Test Collection.”
ACM SIGIR Forum 54 (1): 12.
Wang, Xue Jun, Maura R. Grossman, and Seung
Gyu Hyun. 2020. “Participation in TREC 2020 COVID Track Using
Continuous Active Learning.” ArXiv:2011.01453 [Cs],
November. http://arxiv.org/abs/2011.01453.<
Xiong, Chenyan, Zhenghao Liu, Si Sun,
Zhuyun Dai, Kaitao Zhang, Shi Yu, Zhiyuan Liu, Hoifung Poon,
Jianfeng Gao, and Paul Bennett. 2020. “CMT in TREC-COVID Round
2: Mitigating the Generalization Gaps from Web to Special Domain
Search.” ArXiv:2011.01580 [Cs], November. http://arxiv.org/abs/2011.01580.
Zhang, Edwin, Nikhil Gupta, Raphael Tang,
Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, et al. 2020.
“Covidex: Neural Ranking Models and Keyword Search
Infrastructure for the COVID-19 Open Research Dataset.” ArXiv:2007.07846
[Cs], July. http://arxiv.org/abs/2007.07846.