Large-Scale QA-SRL Parsing
(b) Question Generation results
['[EMPTY]', 'EM', 'PM', 'WA']
Retrained model We retrained our final model on the training set extended with the new valid questions, yielding modest improvements on both span detection and question generation in the development set The span detection numbers are higher than on the original dataset, because the expanded development data captures true positives produced by the original model (and the resulting increase in precision can be traded off for recall as well).