An increase in the proportion of uncommon words makes the models also generate uncommon words, which are not likely to match the ground-truth, thereby reducing the recall.
evaluation Metrics: Studies on textsummarization evaluate their system using Rouge; therefore, we report Rouge-1 (unigram), Rouge-2 (bigram), and Rouge-L (longest-common substring) as the quantitative evaluation of models on our corpus.