Named entity recognition via machine reading comprehension: a multi-task learning approach
Named Entity Recognition (NER) aims to extract and classify entity mentions in the text into
pre-defined types (eg, organization or person name). Recently, many works have been …
pre-defined types (eg, organization or person name). Recently, many works have been …
A Dynamic Optimization-Based Ensemble Learning Method for Traditional Chinese Medicine Named Entity Recognition
Z Zhao, Y Qian, Q Liu, JX Chen, Y Liu - IEEE Access, 2023 - ieeexplore.ieee.org
The importance of named entity identification in traditional Chinese medicine (TCM) as the
basis for supporting downstream tasks is receiving increasing attention. Deep learning …
basis for supporting downstream tasks is receiving increasing attention. Deep learning …
[HTML][HTML] A multi-scale embedding network for unified named entity recognition in Chinese Electronic Medical Records
H Zhao, W Xiong - Alexandria Engineering Journal, 2024 - Elsevier
Abstract Named Entity Recognition (NER) in Chinese Electronic Medical Records (EMRs) is
crucial for enhancing healthcare quality and efficiency. However, the unique complexity of …
crucial for enhancing healthcare quality and efficiency. However, the unique complexity of …
Research on Chinese Nested Entity Recognition Based on IDCNNLR and GlobalPointer
W Li, J Liu, Y Gao, X Zhang, J Gu - Applied System Innovation, 2024 - mdpi.com
The task of named entity recognition (NER) is to identify entities in the text and predict their
categories. In real-life scenarios, the context of the text is often complex, and there may exist …
categories. In real-life scenarios, the context of the text is often complex, and there may exist …
MRC-based Nested Medical NER with Co-prediction and Adaptive Pre-training
X Du, H Zhao, D Xing, Y Jia, H Zan - arXiv preprint arXiv:2403.15800, 2024 - arxiv.org
In medical information extraction, medical Named Entity Recognition (NER) is
indispensable, playing a crucial role in developing medical knowledge graphs, enhancing …
indispensable, playing a crucial role in developing medical knowledge graphs, enhancing …
[PDF][PDF] RoBGP: A Chinese Nested Biomedical Named Entity Recognition Model Based on RoBERTa and Global Pointer.
X Cui, C Song, D Li, X Qu, J Long… - … , Materials & Continua, 2024 - cdn.techscience.cn
ABSTRACT Named Entity Recognition (NER) stands as a fundamental task within the field
of biomedical text mining, aiming to extract specific types of entities such as genes, proteins …
of biomedical text mining, aiming to extract specific types of entities such as genes, proteins …
Combining permuted language model and adversarial training for Chinese machine reading comprehension
J Liu, X Chu, J Wang, M Wang… - Journal of Intelligent & …, 2024 - content.iospress.com
Due to the polysemy and complexity of the Chinese language, Chinese machine reading
comprehension has always been a challenging task. To improve the semantic …
comprehension has always been a challenging task. To improve the semantic …