Papers with cross-lingual classification models
A Robust Self-Learning Framework for Cross-Lingual Text Classification (D19-1)
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| Challenge: | Recent advances in pretrained contextual representation models have made significant progress on a number of different English NLP tasks. |
| Approach: | They propose a robust framework to include unlabeled non-English samples in the fine-tuning process of pretrained multilingual representation models. |
| Outcome: | The proposed framework includes unlabeled non-English samples in the fine-tuning process of pretrained multilingual representation models. |