ReAct: A Review Comment Dataset for Actionability (and more)

@article{Choudhary2022ReActAR,
  title={ReAct: A Review Comment Dataset for Actionability (and more)},
  author={G. Choudhary and Natwar Modani and Nitish Maurya},
  journal={ArXiv},
  year={2022},
  volume={abs/2210.00443}
}
. Review comments play an important role in the evolution of documents. For a large document, the number of review comments may become large, making it difficult for the authors to quickly grasp what the comments are about. It is important to identify the nature of the comments to identify which comments require some action on the part of document authors, along with identifying the types of these comments. In this paper, we introduce an annotated review comment dataset ReAct . The review… 

MOPRD: A multidisciplinary open peer review dataset

A modular guided review comment generation method based on MOPRD, a multidisciplinary open peer review dataset that consists of paper metadata, multiple version manuscripts, review comments, meta-reviews, author’s rebuttal letters, and editorial decisions is designed.

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