Task: Question Answering
Input (English): Table TABREF31 shows the F-score, the Area Under the ROC Curve (AUC) and the mean accuracy (ACC) of the proposed models when different inputs are available. Fig. FIGREF32 shows the Precision vs Recall plot and the ROC curve (which plots the True Positive Rate vs the False Positive Rate) of the different models. 
 Question: What metrics are used to benchmark the results?
Output (English): F-score Area Under the ROC Curve (AUC) mean accuracy (ACC) Precision vs Recall plot ROC curve (which plots the True Positive Rate vs the False Positive Rate)