However, whereas the difference of scores between the two methods is obvious for small amounts of training data, this difference progressively decreases as we increase the amount of training data.
with 100 training instances, the difference between baseline and proposed method is the largest: For RSTDT, the baseline has a macro-averaged F-score of 0.084, whereas the the proposed method has a macro-averaged Fscore of 0.189 (ca.