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...

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Bibliographic Details
Main Authors: Salvatore Giancani, Riccardo Albertoni, Chiara Eva Catalano
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023040252