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Neural Covidex: COVID-19 AI-Open Data Mining Search Engine

Scientists and researchers can now quickly, freely, and easily search through over 45,000+ scholarly articles, medical reports, journal articles, and preprints about COVID-19. The Neural Covidex applies state-of-the-art neural network models and Artificial Intelligence (AI) techniques to answer questions using the COVID-19 Open Research Dataset (CORD) provided by the Allen Institute for AI (dataset released of April 10, 2020)....

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Keyword:
Open Science/Open Research/Open Data/AI-Open Data Mining Search Engine/Open Access/
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More about this material

Material Type:
Learning Object Repository
Date Added to MERLOT:
April 12, 2020
Date Modified in MERLOT:
February 22, 2021
Author:
 
Submitter:
J.B. Shaw
Hispanic Serving Institution
Primary Audience:
High School, College General Ed, College Lower Division, College Upper Division, Graduate School, Professional
Technical Format:
Website
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
Unknown
Accessibility Information Available:
Unknown
Creative Commons:
Unknown

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Julie Evey
Julie Evey (Faculty)
3 years ago
Dataset Description from the website: In response to the COVID-19 pandemic, the White House and a coalition of leading research groups have prepared the COVID-19 Open Research Dataset (CORD-19). CORD-19 is a resource of over 59,000 scholarly articles, including over 47,000 with full text, about COVID-19, SARS-CoV-2, and related coronaviruses. This freely available dataset is provided to the global research community to apply recent advances in natural language processing and other AI techniques to generate new insights in support of the ongoing fight against this infectious disease. There is a growing urgency for these approaches because of the rapid acceleration in new coronavirus literature, making it difficult for the medical research community to keep up.