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...

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Detalles Bibliográficos
Autores principales: Nguyen, Vinh, Bodenreider, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484765/
https://www.ncbi.nlm.nih.gov/pubmed/35672982
http://dx.doi.org/10.3233/SHTI220043

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