Quality of word and concept embeddings in targetted biomedical domains
Embeddings are fundamental resources often reused for building intelligent systems in the biomedical context. As a result, evaluating the quality of previously trained embeddings and ensuring they cover the desired information is critical for the success of applications. This paper proposes a new ev...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-06-01
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Series: | Heliyon |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023040252 |