Chinese medical named entity recognition based on multimodal information fusion and hybrid attention mechanism.
Chinese Medical Named Entity Recognition (CMNER) seeks to identify and extract medical entities from unstructured medical texts. Existing methods often depend on single-modality representations and fail to fully exploit the complementary nature of different features. This paper presents a multimodal...
Tallennettuna:
| Päätekijät: | , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Public Library of Science (PLoS)
2025-01-01
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| Sarja: | PLoS ONE |
| Linkit: | https://doi.org/10.1371/journal.pone.0325660 |
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