This result is not surprising, given that the pre-trained RNTN and CNNS are i)initialized with pre-trained word embeddings and ii)trained on a data set with roughly 10 times more training data points than within SWESA.
note that on the imbalanced A-CHESS data set RNTN fails to perform any classification.