<P> Recursive neural tensor networks use one, tensor - based composition function for all nodes in the tree . </P> <P> Typically, stochastic gradient descent (SGD) is used to train the network . The gradient is computed using backpropagation through structure (BPTS), a variant of backpropagation through time used for recurrent neural networks . </P> <P> Universal approximation capability of RNN over trees has been proved in literature . </P> <P> Recurrent neural networks are recursive artificial neural networks with a certain structure: that of a linear chain . Whereas recursive neural networks operate on any hierarchical structure, combining child representations into parent representations, recurrent neural networks operate on the linear progression of time, combining the previous time step and a hidden representation into the representation for the current time step . </P>

Which of the following is a good application of an rntn