Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss
Table 2: Performances on predicate identification.
['Model', 'Pred. Identification']
To evaluate the ability of our model on predicate identification, we sample 100 generated questions from each model, and then two annotators are employed to judge whether the generated question expresses the given predicate. The Kappa for inter-annotator statistics is 0.611, and p-value for all scores is less than 0.005.