Tibetan Medical Named Entity Recognition Based on Syllable‐Word‐Sentence Embedding Transformer

ABSTRACT Tibetan medical named entity recognition (Tibetan MNER) involves extracting specific types of medical entities from unstructured Tibetan medical texts. Tibetan MNER provide important data support for the work related to Tibetan medicine. However, existing Tibetan MNER methods often struggle...

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Hlavní autoři:	Jin Zhang, Ziyue Zhang, Lobsang Yeshi, Dorje Tashi, Xiangshi Wang, Yuqing Cai, Yongbin Yu, Xiangxiang Wang, Nyima Tashi, Gadeng Luosang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wiley 2025-08-01
Edice:	CAAI Transactions on Intelligence Technology
Témata:	named entity recognition syllable‐word‐sentence embedding Tibetan lexicon Tibetan medicine
On-line přístup:	https://doi.org/10.1049/cit2.70029
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