Before revision:  We find that GOLD outperforms the baselines according to automatic and human evaluation  on summarization, question generation, and machine translation , including attaining state-of-the-art results for CNN/DailyMail summarization .
After revision:  We find that GOLD outperforms the baselines according to automatic and human evaluation , models trained by GOLD outperform those trained by MLE and policy gradient on summarization, question generation, and machine translation , including attaining state-of-the-art results for CNN/DailyMail summarization .