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These are the various final outputs of our system on the different runs in our evalution of the paper. You can compute results using the evaluate.py script, e.g.,: python evaluate.py results/final_wq_evaluation_output.txt should output: > Number of questions: 2032 > Average recall over questions: 0.604353752656 > Average precision over questions: 0.496435505027 > Average f1 over questions: 0.494262559655 > Accuracy over questions: 0.369094488189 > F1 of average recall and average precision: 0.545104629829 Files in the same format will be produced when running the evaluation using the learner module. See QUICKSTART.md for details.