Semantic Textual Similarity in Japanese Clinical Domain Texts Using BERT

Background  Semantic textual similarity (STS) captures the degree of semantic similarity between texts. It plays an important role in many natural language processing applications such as text summarization, question answering, machine translation, information retrieval, dialog systems, plagiarism d...

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Detalles Bibliográficos
Autores principales: Mutinda, Faith Wavinya, Yada, Shuntaro, Wakamiya, Shoko, Aramaki, Eiji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8294940/
https://www.ncbi.nlm.nih.gov/pubmed/34237783
http://dx.doi.org/10.1055/s-0041-1731390

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8294940/
https://www.ncbi.nlm.nih.gov/pubmed/34237783
http://dx.doi.org/10.1055/s-0041-1731390

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