In this context, we believe the problem of generating multi-sentence summaries of tables or database records to be a reasonable next-problem for neural techniques to tackle as they begin to consider more difficult NLG tasks.
as neural systems begin to move toward generating longer outputs in response to longer and more complicated inputs, however, the generated texts begin to display reference errors, intersentence incoherence, and a lack of fidelity to the source material.