Collaborative review and revision of textual documents is the core of knowledge work and a promising target for empirical analysis and NLP assistance. Yet, a holistic framework that would allow modeling complex relationships between document revisions, reviews and author responses is lacking. To address this gap, we introduce Re3, a framework for joint analysis of collaborative document revision. We instantiate this framework in the scholarly domain, and present Re3-Sci, a large corpus of aligned scientific paper revisions manually labeled according to their action and intent, and supplemented with the respective peer reviews and human-written edit summaries. We use the new data to provide first empirical insights into collaborative document revision in the academic domain, and to assess the capabilities of state-of-the-art LLMs at automating edit analysis and facilitating text-based collaboration. We make our annotation environment and protocols, the resulting data and experimental code publicly available.

Re3是一个共同分析合作文档修订的框架，我们在学术领域中创建了Re3-Sci的大型文集，通过其行动和意图的手工标记以及相应的同行评审和人工编辑摘要，为首次实证研究学术领域的合作文档修订提供了新的数据，并评估了最先进的LLM在自动化编辑分析和促进基于文本的合作方面的能力。

Re3: 一个用于建模协同文档修订的全面框架和数据集