About: COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research
Creator	Martinez, David Baldwin, Timothy Fang, Biaoyan Lau, Han Mendis, Shevon »more»
source	ArXiv
abstract	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 by providing a visual overview supporting exploration of a collection 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.
has issue date	2020-08-18(xsd:dateTime)
has license	arxiv
sha1sum (hex)	5fd5f0a146ca7c558dcea505e07c12a5d3dedfa0
resource representing a document's title	COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research
resource representing a document's body	covid:5fd5f0a146ca7c558dcea505e07c12a5d3dedfa0#body_text
is schema:about of	named entity 'natural language processing' named entity 'findability' named entity 'TO HELP' named entity 'DISTINCT' named entity 'literature' »more»

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