The third model proposed by us is Leaf-Composition-Tree LSTM (LCT-LSTM).Different from the LT-LSTM and TC-LSTM, this model not only takes the composition nodes into consideration when building the LSTM layer, but also makes sum of the outputs of two modules mentioned above.
lCT-lSTM can be seen as the composition of TC-lSTM and lT-lSTM for the reason of not only building the sequential feature for the composition nodes which contain the structural information, but also combining the sequential feature and the structural feature of the input sentence.