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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| 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 |