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Home AI & Sentiment Analysis

[2504.21016] Nested Named-Entity Recognition on Vietnamese COVID-19: Dataset and Experiments

AiNEWS2025 by AiNEWS2025
2025-06-18
in AI & Sentiment Analysis
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[2504.21016] Nested Named-Entity Recognition on Vietnamese COVID-19: Dataset and Experiments
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[Submitted on 21 Apr 2025 (v1), last revised 14 Jun 2025 (this version, v2)]

View a PDF of the paper titled Nested Named-Entity Recognition on Vietnamese COVID-19: Dataset and Experiments, by Ngoc C.L\^e and 8 other authors

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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.

Submission history

From: Chung Nguyen Phung Hai [view email]
[v1]
Mon, 21 Apr 2025 05:21:34 UTC (25 KB)
[v2]
Sat, 14 Jun 2025 10:55:40 UTC (18 KB)

Source link

#Nested #NamedEntity #Recognition #Vietnamese #COVID19 #Dataset #Experiments

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