AAAI’18 Question Answering as Global Reasoning over Semantic Abstractions
Table 8: Comparison of test scores of SemanticILP using a generic ensemble vs. domain-targeted cascades of annotation combinations.
['Dataset [t] Science', 'Dataset Regents 4th', 'Ensemble  [BOLD] 67.6', 'Cascade (Science) 64.7', 'Cascade (Biology) 63.1']
On the 8th grade data, the cascade solver created for science test achieves higher scores than the generic ensemble solver. Similarly, the cascade solver on the biology domain outperforms the ensemble solver on the ProcessBank dataset.