Neural Adversarial Training for Semi-supervised Japanese Predicate-argument Structure Analysis
Table 7: The comparisons of Gen+Adv with Gen and the data augmentation model (Gen+Aug). ‡ denotes that the improvement is statistically significant at p<0.05, compared with Gen+Aug.
['[EMPTY]', 'Case', 'Zero']
Our Gen+Adv model performs better than the data augmented model. Note that our data augmentation model does not use raw corpora directly.