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NLPeer: A Unified Resource for the Computational Study of Peer Review (2023.acl-long)
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| Challenge: | Existing studies of peer review for scholarly publications lack datasets and multi-domain corpora to support this complex process. |
| Approach: | They propose to use NLPeer to build a multi-domain corpus of more than 5k papers and 11k review reports from five different venues to support reviewers. |
| Outcome: | The proposed datasets and analysis of three review assistance tasks include a guided skimming task. |