Table 5 shows that our model with separate decoder and attention over keyphrases produce significantly more informative and relevant arguments than seq2seq trained without evidence.
this may lead to suboptimal output for text generation (Wiseman and Rush, 2016), e.g., one beam often dominates and thus inhibits hypothesis diversity.