Given a set of sentences, the existing hierarchical RNN-based models first transform each sentence into a distributed vector with a sentence encoder and then these sentence embeddings are fed to a LSTMs-based paragraph encoder.
based on the learned paragraph vector, a pointer network is exploited to decode the order of the input sentences.