Predicting Semantic Similarity Between Clinical Sentence Pairs Using Transformer Models: Evaluation and Representational Analysis

BACKGROUND: Semantic textual similarity (STS) is a natural language processing (NLP) task that involves assigning a similarity score to 2 snippets of text based on their meaning. This task is particularly difficult in the domain of clinical text, which often features specialized language and the fre...

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Detalles Bibliográficos
Autores principales: Ormerod, Mark, Martínez del Rincón, Jesús, Devereux, Barry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190645/
https://www.ncbi.nlm.nih.gov/pubmed/34037527
http://dx.doi.org/10.2196/23099

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190645/
https://www.ncbi.nlm.nih.gov/pubmed/34037527
http://dx.doi.org/10.2196/23099

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