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PeerSum: A Peer Review Dataset for Abstractive Multi-document Summarization (2203.01769v2)

Published 3 Mar 2022 in cs.IR and cs.CL

Abstract: We present PeerSum, a new MDS dataset using peer reviews of scientific publications. Our dataset differs from the existing MDS datasets in that our summaries (i.e., the meta-reviews) are highly abstractive and they are real summaries of the source documents (i.e., the reviews) and it also features disagreements among source documents. We found that current state-of-the-art MDS models struggle to generate high-quality summaries for PeerSum, offering new research opportunities.

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Authors (3)
  1. Miao Li (156 papers)
  2. Jianzhong Qi (68 papers)
  3. Jey Han Lau (67 papers)
Citations (2)

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