Tibetan Few‐Shot Learning Model With Deep Contextualised Two‐Level Word Embeddings
ABSTRACT Few‐shot learning is the task of identifying new text categories from a limited set of training examples. The two key challenges in few‐shot learning are insufficient understanding of new samples and imperfect modelling. The uniqueness of low‐resource languages lies in their limited linguis...
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| Główni autorzy: | , , , , , , , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Wiley
2025-10-01
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| Seria: | CAAI Transactions on Intelligence Technology |
| Hasła przedmiotowe: | |
| Dostęp online: | https://doi.org/10.1049/cit2.70047 |
| Etykiety: |
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