Despite these efforts, none of the existing work has focused explicitly on optimizing an abstractive summarization system with a correctness objective.
even state-of-the-art systems trained with ample data still produce summaries with a substantial number of factual errors (Goodrich et al., 2019; Kryscinski et al., 2019a).