Before revision:  To alleviate this problem, we propose a new metric for evaluating the correctness of genQA . Specifically, the new metric assigns different weights on each token via keyphrase prediction, thereby judging whether a predicted answer sentence captures the key meaning of the human judge's ground-truth .
After revision:  To alleviate this problem, we propose a new metric for evaluating the correctness of genQA . Specifically, the new metric assigns different weights on each token via keyphrase prediction, thereby judging whether a generated answer sentence captures the key meaning of the human judge's ground-truth .