Chinese medical named entity recognition model based on local enhancement
In the medical field, the recognition of medical entities is often influenced by their adjacent context, the current named entity recognition methods typically rely on BiLSTM to capture the global dependency relationships within text, lacking modeling of local dependencies between characters. To res...
Saved in:
| Main Authors: | CHEN Jing, XING Kexuan, MENG Weilun, GUO Jingfeng, FENG Jianzhou |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2024-07-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024117/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Entity-level cross-modal fusion for multimodal chinese agricultural diseases and pests named entity recognition
by: Jingzhong Huang, et al.
Published: (2025-12-01) -
Chinese named entity recognition based on lexicon enhancement and table filling
by: Chu Tianshu, et al.
Published: (2024-02-01) -
Transformer-based prototype network for Chinese nested named entity recognition
by: Ke Zhang, et al.
Published: (2025-06-01) -
Label-Guided Data Augmentation for Chinese Named Entity Recognition
by: Miao Jiang, et al.
Published: (2025-02-01) -
MP-NER: Morpho-Phonological Integration Embedding for Chinese Named Entity Recognition
by: Pu Li, et al.
Published: (2025-01-01)