Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering
Table 4: Average F1-scores for different settings
['[EMPTY]', 'LC-QuAD', 'QALD-5']
Rank w/o substructures gained a comparatively low performance, especially when there is inadequate training data (on QALD-5). Compared with Rank w/ substructures, SubQG gained a further improvement, which indicates that the merging method successfully handled questions with unseen query structures.