A hybrid model based on deep convolutional network for medical named entity recognition
T Wang, Y Zhang, Y Zhang, H Lu, B Yu… - Journal of Electrical …, 2023 - Wiley Online Library
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 …
named entity identification, and it is challenging to express word polysemy, resulting in a low …
A Hybrid Model Based on Deep Convolutional Network for Medical Named Entity Recognition.
T Wang, Y Zhang, Y Zhang, H Lu, B Yu… - Journal of Electrical …, 2023 - search.ebscohost.com
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 …
named entity identification, and it is challenging to express word polysemy, resulting in a low …
A Hybrid Model Based on Deep Convolutional Network for Medical Named Entity Recognition
T Wang, Y Zhang, Y Zhang, H Lu, B Yu… - Journal of Electrical …, 2023 - dl.acm.org
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 …
named entity identification, and it is challenging to express word polysemy, resulting in a low …
A Hybrid Model Based on Deep Convolutional Network for Medical Named Entity Recognition
T Wang, Y Zhang, Y Zhang, H Lu, B Yu… - Journal of Electrical …, 2023 - search.proquest.com
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 …
named entity identification, and it is challenging to express word polysemy, resulting in a low …
A Hybrid Model Based on Deep Convolutional Network for Medical Named Entity Recognition.
T Wang, Y Zhang, Y Zhang, H Lu, B Yu… - Journal of Electrical …, 2023 - go.gale.com
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 …
named entity identification, and it is challenging to express word polysemy, resulting in a low …