HiNER: Hierarchical feature fusion for Chinese named entity recognition

S Hou, Y Qian, J Chen, J Zhao, H Lv, J Zhang, H Leng… - Neurocomputing, 2025 - Elsevier
Abstract Named Entity Recognition (NER) aims to extract structured entity information from
unstructured textual data by identifying entity boundaries and categories. Chinese NER is …

An improved data augmentation approach and its application in medical named entity recognition

H Chen, L Dan, Y Lu, M Chen, J Zhang - BMC Medical Informatics and …, 2024 - Springer
Performing data augmentation in medical named entity recognition (NER) is crucial due to
the unique challenges posed by this field. Medical data is characterized by high acquisition …

A New Adapter Tuning of Large Language Model for Chinese Medical Named Entity Recognition

L Zhou, Y Chen, X Li, Y Li, N Li, X Wang… - Applied Artificial …, 2024 - Taylor & Francis
Named entity recognition (NER) is a crucial step in extracting medical information from
Chinese text, and fine-tuning large language models (LLMs) for this task is an effective …

SLKIR: A framework for extracting key information from air traffic control instructions Using small sample learning

P Jiang, C Zeng, W Pan, B Han, J Zhang - Scientific reports, 2024 - nature.com
In air traffic control (ATC), Key Information Recognition (KIR) of ATC instructions plays a
pivotal role in automation. The field's specialized nature has led to a scarcity of related …

Importance and challenges of handwriting recognition with the implementation of machine learning techniques: a survey

E Sánchez-DelaCruz, CI Loeza-Mejía - Applied Intelligence, 2024 - Springer
Ancient manuscripts store historical, literary, cultural, and geographical information.
Therefore, the automatic analysis of manuscripts is of great interest in heritage culture and …

[HTML][HTML] Chinese named entity recognition with multi-network fusion of multi-scale lexical information

Y Guo, HC Liu, FJ Liu, WH Lin, QS Shao… - Journal of Electronic …, 2024 - Elsevier
Named entity recognition (NER) is an important part in knowledge extraction and one of the
main tasks in constructing knowledge graphs. In today's Chinese named entity recognition …