Few-shot learning for text classification
Few-shot text classification addresses the critical challenge of performing accurate classification in scenarios with limited labeled data, a common constraint in many real-world applications. Motivated by the need to improve model performance under such constraints, this report explores advanced ap...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2025
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| Online Access: | https://hdl.handle.net/10356/182917 |