Thrilled to note that our forthcoming ACL-19 paper (also here) on using constrained decoding together with hierarchical discourse structure in neural NLG is now out! The paper shows that constrained decoding can help achieve more controllable and semantically correct output in task-oriented dialog with neural sequence-to-sequence models. While the battle to rein in neural generators continues, we’d like to think this work at least represents a quite successful skirmish!