When the training data size is small, CRF+SVM+Dict outperforms LSTM+CRF+Dict+Cate by a wide margin (F-score of 60.60%, compared to 45.43%).
when the training data size is increased to 100%, LSTM+CRF+Dict+Cate is the best method (it achieves an F-score of 75.18%, compared to 73.30% of CRF+SVM+Dict).