Bridging the Gap: A Comprehensive Study on Named Entity Recognition in Electronic Domain using Hybrid Statistical and Deep Knowledge Transfer

Training deep neural network models in NLP applications with a small amount of annotated data does not usually achieve high performances. To address this issue, transfer learning, which consists of transferring knowledge from a domain with a large amount of annotated data to a specific domain which...

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Dades bibliogràfiques

Autors principals:	Ghaith Dekhili, Tan Ngoc Le, Fatiha Sadat
Format:	Artigo
Idioma:	Inglês
Publicat:	LibraryPress@UF 2024-05-01
Col·lecció:	Proceedings of the International Florida Artificial Intelligence Research Society Conference
Matèries:	deep learning domain specialized low domain statistics knowledge transfer hybrid system
Accés en línia:	https://journals.flvc.org/FLAIRS/article/view/135582
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