Review for NeurIPS paper: Hierarchical Poset Decoding for Compositional Generalization in Language

Neural Information Processing Systems 

The CFQ dataset designed for testing compositional generalization is really challenging. The presented results in this paper on CFQ are impressive. However, as pointed out by Reviewer #4, the proposed method relies on many dataset-specific design, and the technical novelty is incremental compared to prior work on semantic parsing. The work will be much more convincing if it can also be validated on another dataset.