The classifiers were trained using pairs of statements in four argumentation structures written in the same language then were tested using pairs of statements in the other argumentation structure.
for training in CBOW, LSTM, and BLSTM, training data were divided into two parts; for training (90%) and development to tune the parameters (10%).