Nested named entity recognition in traditional Chinese medicine electronic medical records via dual-granularity feature augmentation and span classification

Abstract Named Entity Recognition (NER) plays a crucial role in extracting important information such as treatment methods, symptoms, and herbal prescriptions from Traditional Chinese Medicine (TCM) electronic medical records. However, existing NER methods often struggle with the complexity and vari...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Luo Minghao, Ye Qing, Cheng Chunlei, LIn Peng
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2025-11-01
Edice:	Scientific Reports
Témata:	Nested named entity recognition Feature enhancement Span classification Traditional chinese medicine electronic medical records
On-line přístup:	https://doi.org/10.1038/s41598-025-22283-w
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!