A Hybrid Model Based on Deep Convolutional Network for Medical Named Entity Recognition
The typical pretrained model’s feature extraction capabilities are insufficient for medical named entity identification, and it is challenging to express word polysemy, resulting in a low recognition accuracy for electronic medical records. In order to solve this problem, this paper proposes a new m...
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| Main Authors: | Tingzhong Wang, Yongxin Zhang, Yifan Zhang, Hao Lu, Bo Yu, Shoubo Peng, Youzhong Ma, Deguang Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2023/8969144 |
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