DAE-NER: Dual-channel attention enhancement for Chinese named entity recognition
J Liu, M Sun, W Zhang, G Xie, Y Jing, X Li… - Computer Speech & …, 2024 - Elsevier
Abstract Named Entity Recognition (NER) is an important component of Natural Language
Processing (NLP) and is a fundamental yet challenging task in text analysis. Recently, NER …
Processing (NLP) and is a fundamental yet challenging task in text analysis. Recently, NER …
Multi-feature transformer for multiclass cyberbullying detection in bangla
Z Wahid, A Al Imran - IFIP International Conference on Artificial …, 2023 - Springer
Cyberbullying detection is a global issue that must be addressed to improve the cyberspace
for millions of online users, services, and organizations. Online harassment of the general …
for millions of online users, services, and organizations. Online harassment of the general …
Transformer-Based Named Entity Recognition in Construction Supply Chain Risk Management in Australia
In the Australian construction industry, effective supply chain risk management (SCRM) is
critical due to its complex networks and susceptibility to various risks. This study explores the …
critical due to its complex networks and susceptibility to various risks. This study explores the …
Named entity recognition in resumes
E Kesim, A Deliahmetoglu - arXiv preprint arXiv:2306.13062, 2023 - arxiv.org
Named entity recognition (NER) is used to extract information from various documents and
texts such as names and dates. It is important to extract education and work experience …
texts such as names and dates. It is important to extract education and work experience …
A Chinese named entity recognition model: integrating label knowledge and lexicon information
Y Yuan, Q Zhang, X Zhou, M Gao - International Journal of Machine …, 2024 - Springer
Chinese named entity recognition (CNER) is one of the important tasks in the field of
information extraction. And different divisions of CNER for text processing units can be …
information extraction. And different divisions of CNER for text processing units can be …
Chinese Fine-Grained Named Entity Recognition Based on BILTAR and GlobalPointer Modules
W Li, J Liu, Y Gao, X Zhang, J Gu - Applied Sciences, 2023 - mdpi.com
The task of fine-grained named entity recognition is to locate entities in text and classify them
into predefined fine-grained categories. At present, Chinese fine-grained NER only uses the …
into predefined fine-grained categories. At present, Chinese fine-grained NER only uses the …
CRENER: A Character Relation Enhanced Chinese NER Model
Y Qiao, S Peng - arXiv preprint arXiv:2412.10858, 2024 - arxiv.org
Chinese Named Entity Recognition (NER) is an important task in information extraction,
which has a significant impact on downstream applications. Due to the lack of natural …
which has a significant impact on downstream applications. Due to the lack of natural …
Resume Matching Framework via Ranking and Sorting Using NLP and Deep Learning
Online job search through websites has been a remarkably advantageous tool for both job
seekers and employers, effectively serving their needs for numerous years. The job-resume …
seekers and employers, effectively serving their needs for numerous years. The job-resume …
Özgeçmişlerde varlık isimlerinin tanınması Named entity recognition in resumes
E Kesim, S Tanberk - 2023 Innovations in Intelligent Systems …, 2023 - ieeexplore.ieee.org
Named entity recognition (NER) is used to extract information from various documents and
texts such as names and dates. It is important to extract education and work experience …
texts such as names and dates. It is important to extract education and work experience …