CLFF-NER: A Cross-Lingual Feature Fusion Model for Named Entity Recognition in the Traditional Chinese Festival Culture Domain

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Bibliografske podrobnosti
izdano v:	Informatics vol. 12, no. 4 (2025), p. 136-154
Glavni avtor:	Yang Shenghe
Drugi avtorji:	He, Kun, Li, Wei, He, Yingying
Izdano:	MDPI AG
Teme:	Datasets Semantics Deep learning Culture Conditional random fields Graph neural networks Neural networks Horse racing Natural language processing Multilingualism Chinese culture Festivals Cultural heritage
Online dostop:	Citation/Abstract Full Text + Graphics Full Text - PDF
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