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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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| 出版年: | Proc Conf Empir Methods Nat Lang Process |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6375489/ https://ncbi.nlm.nih.gov/pubmed/30775726 |
| タグ: |
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