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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, William R Hersh
2020 JAMIA Journal of the American Medical Informatics Association  
TREC-COVID is an information retrieval (IR) shared task initiated to support clinicians and clinical research during the COVID-19 pandemic.  ...  TREC-COVID differs from traditional IR shared task evaluations with special considerations for the expected users, IR modality considerations, topic development, participant requirements, assessment process  ...  Contributions The authors are organizers of TREC-COVID. KER initially drafted the manuscript. All authors reviewed and approved the manuscript.  ... 
doi:10.1093/jamia/ocaa091 pmid:32365190 pmcid:PMC7239098 fatcat:rhqp7cvirrgvpfcyz7zji4z67u

Searching for Scientific Evidence in a Pandemic: An Overview of TREC-COVID [article]

Kirk Roberts, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, Kyle Lo, Ian Soboroff, Ellen Voorhees, Lucy Lu Wang, William R Hersh
2021 arXiv   pre-print
We present an overview of the TREC-COVID Challenge, an information retrieval (IR) shared task to evaluate search on scientific literature related to COVID-19.  ...  The goals of TREC-COVID include the construction of a pandemic search test collection and the evaluation of IR methods for COVID-19.  ...  In prior publications, we provided our initial rationale for TREC-COVID and its structure [6] as well as a snapshot of the task after the first round [7] .  ... 
arXiv:2104.09632v1 fatcat:fy24bnbejvgx5oiwcty6ty2vpi

Impact of computational approaches in the fight against COVID-19: an AI guided review of 17 000 studies

Francesco Napolitano, Xiaopeng Xu, Xin Gao
2021 Briefings in Bioinformatics  
In order to extensively assess such contribution, we collected, categorized and prioritized over 17 000 COVID-19-related research articles including both peer-reviewed and preprint publications that make  ...  enhancing preparedness and critical response for current and future emergencies.  ...  Toward this aim, the TREC-COVID initiative was launched to build a test set and assess the ability of algorithms to rank CORD-19 papers based on their relevance to COVID-19-related topics [135, 161] .  ... 
doi:10.1093/bib/bbab456 pmid:34788381 pmcid:PMC8689952 fatcat:ffzsfxusvvdt3ffjlu7wouvcz4

Pretrained Transformers for Text Ranking: BERT and Beyond

Andrew Yates, Rodrigo Nogueira, Jimmy Lin
2021 Proceedings of the 14th ACM International Conference on Web Search and Data Mining  
The goal of text ranking is to generate an ordered list of texts retrieved from a corpus in response to a query for a particular task.  ...  The combination of transformers and self-supervised pretraining has, without exaggeration, revolutionized the fields of natural language processing (NLP), information retrieval (IR), and beyond.  ...  We'd like to thank the following people for comments on earlier drafts of this work: Maura Grossman, Sebastian Hofstätter, Xueguang Ma, and Bhaskar Mitra.  ... 
doi:10.1145/3437963.3441667 fatcat:6teqmlndtrgfvk5mneq5l7ecvq

Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World

Farshad Firouzi, Bahar Farahani, Mahmoud Daneshmand, Kathy Grise, Jae Seung Song, Roberto Saracco, Lucy Lu Wang, Kyle Lo, Plamen Angelov, Eduardo Soares, Po-Shen Loh, Zeynab Talebpour (+19 others)
2021 IEEE Internet of Things Journal  
This article provides a blend of discussions on the contribution of these digital technologies, propose several complementary and multidisciplinary techniques to combat COVID-19, offer opportunities for  ...  Finally, we discuss how distributed ledger technologies (DLTs), of which blockchain is a common example, can be combined with other technologies for tackling COVID-19.  ...  The CORD-19 corpus has also been leveraged as the foundation of several community shared tasks: the Kaggle CORD-19 Challenge, 5 TREC-COVID ad hoc retrieval challenge 6 [52] , [53] at TREC 2020, and  ... 
doi:10.1109/jiot.2021.3073904 pmid:35782886 pmcid:PMC8769005 fatcat:eni7i4hhhrg3nls67ym4unqyzm

S2ORC: The Semantic Scholar Open Research Corpus [article]

Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, Dan S. Weld
2020 arXiv   pre-print
We hope this resource will facilitate research and development of tools and tasks for text mining over academic text.  ...  The corpus consists of rich metadata, paper abstracts, resolved bibliographic references, as well as structured full text for 8.1M open access papers.  ...  Acknowledgements This work was supported in part by ONR grant N00014-18-1-2193, and the University of Washington WRF/Cable Professorship.  ... 
arXiv:1911.02782v3 fatcat:oxdmyodlhvcplkcoyjnxtvu2ga

Frugal neural reranking: evaluation on the Covid-19 literature

Tiago Almeida, Sérgio Matos
2020 Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020   unpublished
The Covid-19 pandemic urged the scientific community to join efforts at an unprecedented scale, leading to faster than ever dissemination of data and results, which in turn motivated more research works  ...  This paper presents and discusses information retrieval models aimed at addressing the challenge of searching the large number of publications that stem from these studies.  ...  for Science and Technology, in the context of the project UIDB/00127/2020.  ... 
doi:10.18653/v1/2020.nlpcovid19-2.3 fatcat:6a6lwvd3fnbgbmpwjaxbvehtw4

S2ORC: The Semantic Scholar Open Research Corpus

Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, Daniel Weld
2020 Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics   unpublished
We hope this resource will facilitate research and development of tools and tasks for text mining over academic text. * denotes equal contribution 1 Instructions for access to the data and model are available  ...  The corpus consists of rich metadata, paper abstracts, resolved bibliographic references, as well as structured full text for 8.1M open access papers.  ...  Acknowledgements This work was supported in part by ONR grant N00014-18-1-2193, and the University of Washington WRF/Cable Professorship.  ... 
doi:10.18653/v1/2020.acl-main.447 fatcat:s6lmrglnofa3jflkbgvgbv42vm