But they show a difference in terms of syntax information contained.
examples of such approaches include Tree-LSTM (Tai et al., 2015;Zhu et al., 2015b) and Recursive Neural Networks (Socher et al., 2011), in which the networks are structured according to the syntax tree of the input sentence.