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Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces

Large multi-label datasets contain labels that occur thousands of times (frequent group), those that occur only a few times (few-shot group), and labels that never appear in the training dataset (zero-shot group). Multi-label few- and zero-shot label prediction is mostly unexplored on datasets with...

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Detalles Bibliográficos
Publicado en:Proc Conf Empir Methods Nat Lang Process
Autores principales: Rios, Anthony, Kavuluru, Ramakanth
Formato: Artigo
Lenguaje:Inglês
Publicado: 2018
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC6375489/
https://ncbi.nlm.nih.gov/pubmed/30775726
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