Nested Named-Entity Recognition on Vietnamese COVID-19: Dataset and Experiments

2025/04/21 by Ngoc C. Lê, Lê, Ngoc C., Hai-Chung Nguyen-Phung +14 · 1 citation
Computer Science · #Advanced Graph Neural Networks #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Topic Modeling

paper · pdf · doi:10.48550/arxiv.2504.21016

openalex publication_date 2025/04/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

The COVID-19 pandemic caused great losses worldwide, efforts are taken place to prevent but many countries have failed. In Vietnam, the traceability, localization, and quarantine of people who contact with patients contribute to effective disease prevention. However, this is done by hand, and take a lot of work. In this research, we describe a named-entity recognition (NER) study that assists in the prevention of COVID-19 pandemic in Vietnam. We also present our manually annotated COVID-19 dataset with nested named entity recognition task for Vietnamese which be defined new entity types using for our system.

Citations

• ViQA-COVID: COVID-19 Machine Reading Comprehension Dataset for Vietnamese
• COVID-19 Named Entity Recognition for Vietnamese
• Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing
• Improving Clinical Document Understanding on COVID-19 Research with Spark NLP
• Automatic Text Summarization of COVID-19 Medical Research Articles using BERT and GPT-2
• Exploring Cross-sentence Contexts for Named Entity Recognition with BERT
• Weibo-COV: A Large-Scale COVID-19 Social Media Dataset from Weibo
• A large-scale COVID-19 Twitter chatter dataset for open scientific research -- an international collaboration
• PhoBERT: Pre-trained language models for Vietnamese
• fairseq: A Fast, Extensible Toolkit for Sequence Modeling
• A Feature-Based Model for Nested Named-Entity Recognition at VLSP-2018 NER Evaluation Campaign
• A Fast and Accurate Vietnamese Word Segmenter
• Bidirectional LSTM-CRF Models for Sequence Tagging
• Adam: A Method for Stochastic Optimization
• Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition
• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Cited by

• ViQA-COVID: COVID-19 Machine Reading Comprehension Dataset for Vietnamese

Related

• COVID-19 Named Entity Recognition for Vietnamese
• The Importance of Automatic Syntactic Features in Vietnamese Named Entity Recognition
• Vietnamese Named Entity Recognition using Token Regular Expressions and Bidirectional Inference
• UIT-ViCoV19QA: A Dataset for COVID-19 Community-based Question Answering on Vietnamese Language
• ViQA-COVID: COVID-19 Machine Reading Comprehension Dataset for Vietnamese