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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Detalles Bibliográficos
Autores principales: Giancani, Salvatore, Albertoni, Riccardo, Catalano, Chiara Eva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272317/
https://www.ncbi.nlm.nih.gov/pubmed/37332929
http://dx.doi.org/10.1016/j.heliyon.2023.e16818

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272317/
https://www.ncbi.nlm.nih.gov/pubmed/37332929
http://dx.doi.org/10.1016/j.heliyon.2023.e16818

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