Data for: Concept Embedding to Measure Semantic Relatedness for Biomedical Information Ontologies

Published: 22-04-2019| Version 1 | DOI: 10.17632/nbb2ntpdw5.1
Contributors:
Junseok Park,
Kwangmin Kim,
Doheon Lee,
Woochang Hwang

Description

we extended the definition information of the CUI terms using the Wikipedia database to improve the coverage of the similarity model. Second, we adopted document embedding for vector representations of the CUI terms. We used UMLS2015AB for the data.

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