Dataset: 11.1K articles from the COVID-19 Open Research Dataset (PMC Open Access subset)
All articles are made available under a Creative Commons or similar license. Specific licensing information for individual articles can be found in the PMC source and CORD-19 metadata
.
More datasets: Wikipedia | CORD-19

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Made by DATEXIS (Data Science and Text-based Information Systems) at Beuth University of Applied Sciences Berlin

Deep Learning Technology: Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers and Alexander Löser. Learning Contextualized Document Representations for Healthcare Answer Retrieval. The Web Conference 2020 (WWW'20)

Funded by The Federal Ministry for Economic Affairs and Energy; Grant: 01MD19013D, Smart-MD Project, Digital Technologies

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Highlight for Query ‹2019 novel coronavirus respiratory syndrome screening
https://cord19.cdv.demo.datexis.com/highlight?document=5839&focus=2019%20novel%20coronavirus%20respiratory%20syndrome&aspect=screening
cord19.cdv.demo.datexis.com
CC-MAIN-2024-26
5603
application/http; msgtype=response
sha1:7YPHLTPRT3VPAW36CH5JVQ5YYVS6SYUH
<urn:uuid:aa8e596e-7b3c-4ea3-b68d-0079e432d946>
2024-06-12T18:32:40Z
141.64.3.130
text/html
sha1:COSNOIQG7HV45OBBIKGMWNBXMI3B6T3V
<urn:uuid:fa1e5222-70f4-437c-a0c9-07642f6f7dbe>
https://cord19.cdv.demo.datexis.com/highlight?document=5839&focus=2019%20novel%20coronavirus%20respiratory%20syndrome&aspect=screening
response
<urn:uuid:65e3d431-56dc-4579-a299-c21397601ae4>
isPartOf: CC-MAIN-2024-26
publisher: Common Crawl
description: Wide crawl of the web for June 2024
operator: Common Crawl Admin (info@commoncrawl.org)
hostname: ip-10-67-67-246
software: Apache Nutch 1.20 (modified, https://github.com/commoncrawl/nutch/)
robots: checked via crawler-commons 1.5-SNAPSHOT (https://github.com/crawler-commons/crawler-commons)
format: WARC File Format 1.1
conformsTo: https://iipc.github.io/warc-specifications/specifications/warc-format/warc-1.1/