A Large-Scale Vietnamese News Dataset for Text Classification: Construction and Evaluation

The Vietnamese language presents distinctive natural language processing (NLP) challenges, which are compounded by a critical shortage of standard benchmark datasets. To address this gap, this paper introduces BN-VN3S, a large-scale Vietnamese news dataset containing 946,696 final processed articles...

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Bibliografiska uppgifter

Huvudupphov:	Bao Nhan Chau, Dat Duong, Phuoc Tran
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	IEEE 2026-01-01
Serie:	IEEE Access
Ämnen:	Vietnamese NLP text classification large-scale dataset temporal shift source bias transformer
Länkar:	https://ieeexplore.ieee.org/document/11603335/
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