Few-shot Named Entity Recognition via encoder and class intervention

In the real world, the large and complex nature of text increases the difficulty of tagging and results in a limited amount of tagged text. Few-shot Named Entity Recognition(NER) only uses a small amount of annotation data to identify and classify entities. It avoids the above problems. Few-shot lea...

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Detalles Bibliográficos

Principais autores:	Long Ding, Chunping Ouyang, Yongbin Liu, Zhihua Tao, Yaping Wan, Zheng Gao
Formato:	Artigo
Idioma:	Inglês
Publicado:	KeAi Communications Co. Ltd. 2024-01-01
Series:	AI Open
Assuntos:	Few-shot learning Named Entity Recognition Causal inference
Acceso en liña:	http://www.sciencedirect.com/science/article/pii/S2666651024000068
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