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PeerSum: A Peer Review Dataset for Abstractive Multi-document Summarization
March 03, 2022 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Miao Li, Jianzhong Qi, Jey Han Lau
arXiv ID
2203.01769
Category
cs.IR: Information Retrieval
Cross-listed
cs.CL
Citations
3
Venue
arXiv.org
Last Checked
4 months ago
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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