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Adding an Attention Layer Improves the Performance of a Neural Network Architecture for Synonymy Prediction in the UMLS Metathesaurus
BACKGROUND: Terminology integration at the scale of the UMLS Metathesaurus (i.e., over 200 source vocabularies) remains challenging despite recent advances in ontology alignment techniques based on neural networks. OBJECTIVES: To improve the performance of the neural network architecture we develope...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484765/ https://www.ncbi.nlm.nih.gov/pubmed/35672982 http://dx.doi.org/10.3233/SHTI220043 |