Open access
Jul 2026
PAP_NER: A large-scale vietnamese administrative named entity recognition corpus and hybrid deep learning architecture
PAP_NER is presented, the first large-scale, gold-standard Vietnamese administrative NER corpus comprising 162,801 sentences with 205,807 entity annotations across five entity types critical for e-Government workflows, with implications for low-resource language NLP research.
Dinh-Dien La, Tien-Bang Tran, Ngoc-Huy Du et al.
· PLoS ONE · 0 citations