Leveraging Adversarial Training in Self-Learningfor Cross-Lingual Text Classification
Table 3. Accuracy (in %) on cross-lingual intent classification without using labeled non-English data.
['Approach', '[ITALIC] en', '[ITALIC] es', '[ITALIC] th']
Cross-lingual Intent Classification. Schuster et al. We also run experiments on Multilingual BERT and observe that it does not outperform the method from Liu et al. However, our approach still achieves the new state-of-the-art result, which suggests that our adversarial framework for cross-lingual transfer is effective across different kinds of classification tasks.