mlsanityData to 14 Oct 2026

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

arXiv 2504.21016 ↗First posted 21 Apr 2025cs.CL cs.LGcited by 0

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Abstract (arXiv)

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.

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References · 14

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2 more
  1. 2020Improving Clinical Document Understanding on COVID-19 Research with Spark NLPcited by 4
  2. 2018A Feature-Based Model for Nested Named-Entity Recognition at VLSP-2018 NER Evaluation Campaigncited by 1

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