# COVID-19 Named Entity Recognition for Vietnamese

arXiv: https://arxiv.org/abs/2104.03879 · HTML: https://mlsanity.com/paper/2104.03879/

## Key facts

- Cited by 19 papers in the map (data through 14 Oct 2026).
- Builds on 18 of its 28 references that are in the map.
- First posted on arXiv 8 Apr 2021.

## Builds on (most cited first, 18 of 18)

- [Adam: A Method for Stochastic Optimization](https://mlsanity.com/paper/1412.6980/) (2014)
- [RoBERTa: A Robustly Optimized BERT Pretraining Approach](https://mlsanity.com/paper/1907.11692/) (2019)
- [Unsupervised Cross-lingual Representation Learning at Scale](https://mlsanity.com/paper/1911.02116/) (2019)
- [AllenNLP: A Deep Semantic Natural Language Processing Platform](https://mlsanity.com/paper/1803.07640/) (2018)
- [End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF](https://mlsanity.com/paper/1603.01354/) (2016)
- [CORD-19: The COVID-19 Open Research Dataset](https://mlsanity.com/paper/2004.10706/) (2020)
- [PhoBERT: Pre-trained language models for Vietnamese](https://mlsanity.com/paper/2003.00744/) (2020)
- [Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society](https://mlsanity.com/paper/2005.00033/) (2020)
- [FakeCovid -- A Multilingual Cross-domain Fact Check News Dataset for COVID-19](https://mlsanity.com/paper/2006.11343/) (2020)
- [VnCoreNLP: A Vietnamese Natural Language Processing Toolkit](https://mlsanity.com/paper/1801.01331/) (2018)
- [A Pilot Study of Text-to-SQL Semantic Parsing for Vietnamese](https://mlsanity.com/paper/2010.01891/) (2020)
- [A Fast and Accurate Vietnamese Word Segmenter](https://mlsanity.com/paper/1709.06307/) (2017)
- [Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset](https://mlsanity.com/paper/2007.07846/) (2020)
- [CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization](https://mlsanity.com/paper/2006.09595/) (2020)
- [Answering Questions on COVID-19 in Real-Time](https://mlsanity.com/paper/2006.15830/) (2020)
- [WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets](https://mlsanity.com/paper/2010.08232/) (2020)
- [COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research](https://mlsanity.com/paper/2008.07880/) (2020)
- [A System for Worldwide COVID-19 Information Aggregation](https://mlsanity.com/paper/2008.01523/) (2020)

## Built on by (most cited first, 19 of 19)

- [ViT5: Pretrained Text-to-Text Transformer for Vietnamese Language Generation](https://mlsanity.com/paper/2205.06457/) (2022)
- [BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing](https://mlsanity.com/paper/2206.15076/) (2022)
- [BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese](https://mlsanity.com/paper/2109.09701/) (2021)
- [ViHOS: Hate Speech Spans Detection for Vietnamese](https://mlsanity.com/paper/2301.10186/) (2023)
- [ViDeBERTa: A powerful pre-trained language model for Vietnamese](https://mlsanity.com/paper/2301.10439/) (2023)
- [VietMed: A Dataset and Benchmark for Automatic Speech Recognition of Vietnamese in the Medical Domain](https://mlsanity.com/paper/2404.05659/) (2024)
- [From Disfluency Detection to Intent Detection and Slot Filling](https://mlsanity.com/paper/2209.08359/) (2022)
- [Recognizing Nested Entities from Flat Supervision: A New NER Subtask, Feasibility and Challenges](https://mlsanity.com/paper/2211.00301/) (2022)
- [Medical Spoken Named Entity Recognition](https://mlsanity.com/paper/2406.13337/) (2024)
- [How to tackle an emerging topic? Combining strong and weak labels for Covid news NER](https://mlsanity.com/paper/2209.15108/) (2022)
- [ViMQ: A Vietnamese Medical Question Dataset for Healthcare Dialogue System Development](https://mlsanity.com/paper/2304.14405/) (2023)
- [Fine-Grained Named Entities for Corona News](https://mlsanity.com/paper/2404.13439/) (2024)
- [Fake Advertisements Detection Using Automated Multimodal Learning: A Case Study for Vietnamese Real Estate Data](https://mlsanity.com/paper/2501.10848/) (2025)
- [Nested Named-Entity Recognition on Vietnamese COVID-19: Dataset and Experiments](https://mlsanity.com/paper/2504.21016/) (2025)
- [ViQA-COVID: COVID-19 Machine Reading Comprehension Dataset for Vietnamese](https://mlsanity.com/paper/2504.21017/) (2025)
- [An Encoder-Integrated PhoBERT with Graph Attention for Vietnamese Token-Level Classification](https://mlsanity.com/paper/2510.11537/) (2025)
- [A Hybrid Method for Low-Resource Named Entity Recognition](https://mlsanity.com/paper/2605.04489/) (2026)
- [BamiBERT: A New BERT-based Language Model for Vietnamese](https://mlsanity.com/paper/2607.02259/) (2026)
- [En-ViMedNER: An English-Vietnamese Parallel Biomedical Corpus with UMLS Semantic Type Annotations](https://mlsanity.com/paper/2608.29890/) (2026)

## Abstract (arXiv)

The current COVID-19 pandemic has lead to the creation of many corpora that facilitate NLP research and downstream applications to help fight the pandemic. However, most of these corpora are exclusively for English. As the pandemic is a global problem, it is worth creating COVID-19 related datasets for languages other than English. In this paper, we present the first manually-annotated COVID-19 domain-specific dataset for Vietnamese. Particularly, our dataset is annotated for the named entity recognition (NER) task with newly-defined entity types that can be used in other future epidemics. Our dataset also contains the largest number of entities compared to existing Vietnamese NER datasets. We empirically conduct experiments using strong baselines on our dataset, and find that: automatic Vietnamese word segmentation helps improve the NER results and the highest performances are obtained by fine-tuning pre-trained language models where the monolingual model PhoBERT for Vietnamese (Nguyen and Nguyen, 2020) produces higher results than the multilingual model XLM-R (Conneau et al., 2020). We publicly release our dataset at: https://github.com/VinAIResearch/PhoNER_COVID19