Cross-Lingual Text Classification with Minimal Resources by Transferring a Sparse Teacher (2020.findings-emnlp)
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| Challenge: | Existing approaches for transferring supervision across languages require expensive cross-lingual resources. |
| Approach: | They propose a cross-lingual teacher-student method that generates "weak" supervision in a target language using minimal cross-linguistic resources. |
| Outcome: | The proposed method outperforms state-of-the-art methods with a student classifier in 18 languages . it extracts and transfers only the most important task-specific seed words across languages based on translated seed words . |
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