#Purpose of this Repo Quick-n-dirty repo to preprocess CORD-19 data to format it for rhapsode.
#Demo Search Application https://rhapsode.covid19data.space/rhapsode/
#Full citation for the data: COVID-19 Open Research Dataset (CORD-19). 2020. Version 2020-03-20. Retrieved from https://pages.semanticscholar.org/coronavirus-research. Accessed 2020-03-23. doi:10.5281/zenodo.3715506
#Data links:
- https://ai2-semanticscholar-cord-19.s3-us-west-2.amazonaws.com/2020-03-20/comm_use_subset.tar.gz
- https://ai2-semanticscholar-cord-19.s3-us-west-2.amazonaws.com/2020-03-20/noncomm_use_subset.tar.gz
- https://ai2-semanticscholar-cord-19.s3-us-west-2.amazonaws.com/2020-03-20/custom_license.tar.gz
- https://ai2-semanticscholar-cord-19.s3-us-west-2.amazonaws.com/2020-03-20/biorxiv_medrxiv.tar.gz
- https://ai2-semanticscholar-cord-19.s3-us-west-2.amazonaws.com/2020-03-20/metadata.csv
#Background As is immediately obvious, the application was not built by an UI designer, but rather only to prove the capabilities of concordance and cooccurrence search along with some other capabilities. See also LUCENE-5205...
The source code for the search application is here: https://github.com/tballison/rhapsode
#Other CORD-19 Search Systems
- https://app.sketchengine.eu/#dashboard?corpname=preloaded%2Fcovid19 (https://twitter.com/SketchEngine/status/1243228736490803205?s=20)
- https://www.covidsearch.io/ (https://twitter.com/lintool/status/1241881933031841800?s=20)
- http://covidseer.ist.psu.edu/
- https://cord19.vespa.ai/
#Relevant links