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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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| Pubblicato in: | Proc Conf Empir Methods Nat Lang Process |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6375489/ https://ncbi.nlm.nih.gov/pubmed/30775726 |
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