Our model leverages this compositional structure to generate reports in a hierarchical way: it first generates a sequence of high-level topic vectors representing sentences, then generates a sentence from each topic vector.
the context vector is inputted into a sentence LSTM, which unrolls for a few steps and produces a topic vector at each step.