Published April 15, 2020
| Version v2
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
(597.7 MB)
| Name | Size | |
|---|---|---|
|
md5:e9bea0f6edf54b3f8bd28131074b48e1
|
145.9 MB | Preview Download |
|
md5:7b1c6c76e97a2bfef2f13f6cc3937054
|
146.2 MB | Preview Download |
|
md5:ea48900ecbd7691e3cfb3d16fcb5f2ee
|
148.9 MB | Preview Download |
|
md5:9bf8635f03ec82b9c100e1d27ccbddd9
|
156.7 MB | Preview Download |
|
md5:4e819183e06ee12e5278ed8112d25f80
|
499 Bytes | Download |
Additional details
Related works
- References
- Conference paper: 10.18653/v1/W18-3026 (DOI)