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.
@article{arxiv.2203.01769,
title = {PeerSum: A Peer Review Dataset for Abstractive Multi-document Summarization},
author = {Miao Li and Jianzhong Qi and Jey Han Lau},
journal= {arXiv preprint arXiv:2203.01769},
year = {2022}
}
Comments
This is because the paper has changed so much and the arxiv paper no longer represents the PeerSum