Few-Shot Text Classification with Global–Local Feature Information

Meta-learning frameworks have been proposed to generalize machine learning models for domain adaptation without sufficient label data in computer vision. However, text classification with meta-learning is less investigated. In this paper, we propose SumFS to find global top-ranked sentences by extra...

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Detalles Bibliográficos
Autores principales: Wang, Depei, Wang, Zhuowei, Cheng, Lianglun, Zhang, Weiwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229404/
https://www.ncbi.nlm.nih.gov/pubmed/35746202
http://dx.doi.org/10.3390/s22124420

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229404/
https://www.ncbi.nlm.nih.gov/pubmed/35746202
http://dx.doi.org/10.3390/s22124420

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