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Brief Description of COVID-SEE: The Scientific Evidence Explorer for COVID-19 Related Research

conference contribution
posted on 2024-11-03, 14:43 authored by Cornelia VerspoorCornelia Verspoor, Simon Šuster, Yulia Otmakhova, Shevon Mendis, Zenan Zhai, Biaoyan Fang, Jey Lau, Timothy Baldwin, Antonio Jose Jimeno YepesAntonio Jose Jimeno Yepes, David Martinez
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 publications, and augments search through a visual overview of a collection enabling exploration to identify key articles of interest. We developed this system over COVID-19 literature to help medical professionals and researchers explore the literature evidence, and improve findability of relevant information. COVID-SEE is available at http://covid-see.com.

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Related Materials

  1. 1.
    DOI - Is published in 10.1007/978-3-030-72240-1_65
  2. 2.
    ISBN - Is published in 9783030722395 (urn:isbn:9783030722395)

Start page

559

End page

564

Total pages

6

Outlet

Proceedings of the 43rd European Conference on IR Research (ECIR 2021)

Name of conference

ECIR 2021

Publisher

Springer, Cham

Place published

Switzerland

Start date

2021-03-28

End date

2021-04-01

Language

English

Copyright

2021 Springer Nature Switzerland AG

Former Identifier

2006114785

Esploro creation date

2022-11-26

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