(2016), the compared models were trained on the datasets with different size.
the neural network-based models (Lin et al., 2016) actually used a large training dataset containing 522, 611 sentences, while feature-based models (Hoffmann et al., 2011) were trained on a small dataset containing 126, 184 sentences.