Long Short-Term Memory With Quadratic Connections in Recursive Neural Networks for Representing Compositional Semantics
Long short-term memory (LSTM) has been widely used in different applications, such as natural language processing, speech recognition, and computer vision over recurrent neural network (RNN) or recursive neural network (RvNN)-a tree-structured RNN.In addition, the Plush LSTM-RvNN has been used to represent compositional semantics through the connec