However, we also see evidence that the joint model may suffer from data sparsity, as in the case of Finnish, where a model that only predicts part-of-speech tags jointly with dependency relations achieve better accuracy on some metrics.
even in this case, the joint model has the best results on the joint evaluation metrics.