This helps us understand the effectiveness of our NAF learning; (3) Unconstrained Train + No ILP: Through this model, we study the effectiveness of our global constraints.
multi-hop QA datasets like HotpotQA (Yang et al., 2018) require multiple reasoning steps, but the inference rules needed are again implicitly inferred, rather than explicitly provided.