Dual Learning for Semi-Supervised Natural Language Understanding
TABLE XI: Test accuracies on ATIS and Overnight in semi-supervised settings (the ratio of fully labeled data is 50%).
['[BOLD] Method', 'ATIS', 'Overnight']
For validity rewards, language models in sentence side and logical form side are exploited. We can find that our method can obtain improvements in both two benchmarks for different backbone models.