To reduce the expenses for evaluating multidocument summaries, we investigate unsupervised evaluation methods, which require neither human annotations nor reference summaries.
we focus on evaluating the relevance (Peyrard, 2019) of multi-document summaries, i.e. measuring how much salient information from the source documents is covered by the summaries. 