MTBC-BioNER: Multi-task Learning Using BioBERT and CharCNN for Biomedical Named Entity Recognition
Author:
Affiliation:
1. Shandong Normal University,School of Information Science and Engineering,JiNan,China
2. Shandong Xiehe University,School of Computer Science and Technology,JiNan,China
Funder
Natural Science Foundation of Shandong Province
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10085981/10086054/10086255.pdf?arnumber=10086255
Reference19 articles.
1. Mt-bioner: Multi-task learning for biomedical named entity recognition using deep bidirectional transformers[J];khan,2020
2. BioBERTpt - A Portuguese Neural Language Model for Clinical Named Entity Recognition
3. A neural network multi-task learning approach to biomedical named entity recognition
4. Intelligent Personalized Abnormality Detection for Remote Health Monitoring
5. BioBERT: a pre-trained biomedical language representation model for biomedical text mining
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1. Structured Named Entity Recognition (NER) in Biomedical Texts Using Pre-Trained Language Models;2024 12th International Symposium on Digital Forensics and Security (ISDFS);2024-04-29
2. OralMedNER: A Named Entity Recognition System for Oral Medicine and Radiology;2023 9th International Conference on Smart Computing and Communications (ICSCC);2023-08-17
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