Abstract We consider the task of data-to-text generation, which aims to create textual output from non-linguistic input. focus on generating long-form text, that is, documents with multiple paragraphs, and propose a neural model enhanced planning component responsible for organizing high-level information in coherent meaningful way. infer latent plans sequentially structured variational model, ...