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...

Full description

Bibliographic Details
Main Authors: Tingzhong Wang, Yongxin Zhang, Yifan Zhang, Hao Lu, Bo Yu, Shoubo Peng, Youzhong Ma, Deguang Li
Format: Article
Language:English
Published: Hindawi Limited 2023-01-01
Series:Journal of Electrical and Computer Engineering
Online Access:http://dx.doi.org/10.1155/2023/8969144