Published April 2, 2020
| Version v1
Dataset
Open
COVID-19 Concept Embeddings
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 |
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md5:e9bea0f6edf54b3f8bd28131074b48e1
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145.9 MB | Preview Download |
md5:4e819183e06ee12e5278ed8112d25f80
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499 Bytes | Download |
Additional details
Related works
- References
- Conference paper: 10.18653/v1/W18-3026 (DOI)