Looking on the learning curves for each model for increasing training set sizes, we can see that both proposed systems show monotonically increasing performance: they take advantage of more data well, but still achieve decent performance in the low-resource setting, even outperforming all non-neural systems in some settings.
the non-neural models joint and semiCRF have in many cases a good start, but only benefit to a limited extends from additional data.