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Related papers: TREC-COVID: Constructing a Pandemic Information Re…

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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…

Information Retrieval · Computer Science 2021-04-21 Kirk Roberts , Tasmeer Alam , Steven Bedrick , Dina Demner-Fushman , Kyle Lo , Ian Soboroff , Ellen Voorhees , Lucy Lu Wang , William R Hersh

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. TREC COVID search track aims to assist in creating search tools to aid…

Information Retrieval · Computer Science 2020-07-07 Vincent Nguyen , Maciek Rybinski , Sarvnaz Karimi , Zhenchang Xing

This research study investigates the efficiency of different information retrieval (IR) systems in accessing relevant information from the scientific literature during the COVID-19 pandemic. The study applies the TREC framework to the…

Information Retrieval · Computer Science 2023-05-23 Moksh Shukla , Nitik Jain , Shubham Gupta

The COVID-19 pandemic has resulted in a tremendous need for access to the latest scientific information, primarily through the use of text mining and search tools. This has led to both corpora for biomedical articles related to COVID-19…

Information Retrieval · Computer Science 2020-07-29 Sarvesh Soni , Kirk Roberts

The COVID-19 pandemic has driven ever-greater demand for tools which enable efficient exploration of biomedical literature. Although semi-structured information resulting from concept recognition and detection of the defining elements of…

Computation and Language · Computer Science 2021-05-27 Simon Šuster , Karin Verspoor , Timothy Baldwin , Jey Han Lau , Antonio Jimeno Yepes , David Martinez , Yulia Otmakhova

We describe our participation in all five rounds of the TREC 2020 COVID Track (TREC-COVID). The goal of TREC-COVID is to contribute to the response to the COVID-19 pandemic by identifying answers to many pressing questions and building…

Information Retrieval · Computer Science 2020-11-04 Xue Jun Wang , Maura R. Grossman , Seung Gyu Hyun

The COVID-19 global pandemic has resulted in international efforts to understand, track, and mitigate the disease, yielding a significant corpus of COVID-19 and SARS-CoV-2-related publications across scientific disciplines. As of May 2020,…

Information Retrieval · Computer Science 2020-06-18 Andre Esteva , Anuprit Kale , Romain Paulus , Kazuma Hashimoto , Wenpeng Yin , Dragomir Radev , Richard Socher

We present COVID-SEE, a system for medical literature discovery based on the concept of information exploration, which builds on several distinct text analysis and natural language processing methods to structure and organise information in…

As scientists worldwide search for answers to the overwhelmingly unknown behind the deadly pandemic, the literature concerning COVID-19 has been growing exponentially. Keeping abreast of the body of literature at such a rapidly advancing…

Digital Libraries · Computer Science 2020-12-24 Chaomei Chen

The COVID-19 Open Research Dataset (CORD-19) is a growing resource of scientific papers on COVID-19 and related historical coronavirus research. CORD-19 is designed to facilitate the development of text mining and information retrieval…

This report describes the participation of two Danish universities, University of Copenhagen and Aalborg University, in the international search engine competition on COVID-19 (the 2020 TREC-COVID Challenge) organised by the U.S. National…

Research community evaluations in information retrieval, such as NIST's Text REtrieval Conference (TREC), build reusable test collections by pooling document rankings submitted by many teams. Naturally, the quality of the resulting test…

Information Retrieval · Computer Science 2022-06-07 Md Mustafizur Rahman , Mucahid Kutlu , Matthew Lease

Scientific literature tends to grow as a function of funding and interest in a given field. Mining such literature can reveal trends that may not be immediately apparent. The CORD-19 corpus represents a growing corpus of scientific…

Other Quantitative Biology · Quantitative Biology 2021-01-29 James Powell , Kari Sentz

We present Covidex, a search engine that exploits the latest neural ranking models to provide information access to the COVID-19 Open Research Dataset curated by the Allen Institute for AI. Our system has been online and serving users since…

Information Retrieval · Computer Science 2020-07-16 Edwin Zhang , Nikhil Gupta , Raphael Tang , Xiao Han , Ronak Pradeep , Kuang Lu , Yue Zhang , Rodrigo Nogueira , Kyunghyun Cho , Hui Fang , Jimmy Lin

The TREC Video Retrieval Evaluation (TRECVID) is a TREC-style video analysis and retrieval evaluation with the goal of promoting progress in research and development of content-based exploitation and retrieval of information from digital…

COVID-19 is having a dramatic impact on research and researchers. The pandemic has underlined the severity of known challenges in research and surfaced new ones, but also accelerated the adoption of innovations and manifested new…

Digital Libraries · Computer Science 2021-06-08 Giovanni Colavizza

Since the outbreak of the COVID-19, there have been many scientific publications studying the COVID-19. The purpose of this study is to identify the research trend, collaboration pattern, most influential elements, etc. from scientific…

Digital Libraries · Computer Science 2024-07-24 Xuezhou Fan

The application and successful utilization of technological resources in developing solutions to health, safety, and economic issues caused by COVID-19 indicate the importance of technology in curbing COVID-19. Also, the medical field has…

Computers and Society · Computer Science 2022-02-16 Manoj Muniswamaiah , Tilak Agerwala , Charles C. Tappert

The COVID-19 pandemic has changed the research agendas of most scientific communities, resulting in an overwhelming production of research articles in a variety of domains, including medicine, virology, epidemiology, economy, psychology,…

Computation and Language · Computer Science 2024-05-14 Francesco Invernici , Anna Bernasconi , Stefano Ceri

The COVID-19 pandemic has sparked unprecedented mobilization of scientists, generating a deluge of papers that makes it hard for researchers to keep track and explore new directions. Search engines are designed for targeted queries, not for…

Information Retrieval · Computer Science 2020-09-22 Tom Hope , Jason Portenoy , Kishore Vasan , Jonathan Borchardt , Eric Horvitz , Daniel S. Weld , Marti A. Hearst , Jevin West
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