Using the 300 labeled sentences for semi-supervised training and model selection reduced the error by 44.6% (comparing to the model with best average accuracy using only type-level supervision with average performance of 85.05, the semi-supervised average is 91.8).
using the 300 sentences to select hyperparameters only reduced the error by less than 5% (the average accuracy was 85.75).