Nested Named-Entity Recognition on Vietnamese COVID-19: Dataset and Experiments
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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915342769455104 |
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| author | Lê, Ngoc C. Nguyen-Phung, Hai-Chung Thi, Thu-Huong Pham Vu, Hue Thi, Phuong-Thao Nguyen Tran, Thu-Thuy Thi, Hong-Nhung Le Nguyen-Thi, Thuy-Duong Nguyen, Thanh-Huy |
| author_facet | Lê, Ngoc C. Nguyen-Phung, Hai-Chung Thi, Thu-Huong Pham Vu, Hue Thi, Phuong-Thao Nguyen Tran, Thu-Thuy Thi, Hong-Nhung Le Nguyen-Thi, Thuy-Duong Nguyen, Thanh-Huy |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_21016 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Nested Named-Entity Recognition on Vietnamese COVID-19: Dataset and Experiments Lê, Ngoc C. Nguyen-Phung, Hai-Chung Thi, Thu-Huong Pham Vu, Hue Thi, Phuong-Thao Nguyen Tran, Thu-Thuy Thi, Hong-Nhung Le Nguyen-Thi, Thuy-Duong Nguyen, Thanh-Huy Computation and Language Machine Learning 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. |
| title | Nested Named-Entity Recognition on Vietnamese COVID-19: Dataset and Experiments |
| topic | Computation and Language Machine Learning |
| url | https://arxiv.org/abs/2504.21016 |