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Published April 2, 2020 | Version v1
Dataset Open

COVID-19 Concept Embeddings

  • 1. The Ohio State University

Description

Up-to-date information and pre-trained embeddings can be found here.

In order to support NLP research efforts related to COVID-19, we have developed resources for training vector-valued embeddings of COVID-19 related medical concepts, primarily using the CORD-19 dataset.

This resource includes only concept embeddings.  Download of the full sets of concept, term, and word embeddings from here requires a valid UMLS Terminology Services account, in order to validate licensed access to SNOMED-CT.

Files

CORD19_202003020_concepts.txt

Files (145.9 MB)

Name Size Download all
md5:e9bea0f6edf54b3f8bd28131074b48e1
145.9 MB Preview Download
md5:4e819183e06ee12e5278ed8112d25f80
499 Bytes Download

Additional details

Related works

References
Conference paper: 10.18653/v1/W18-3026 (DOI)