This provides an amazing corpus for studying the types and effectiveness of revisions.
differences between revisions contain valuable information for modeling document quality or extracting users' expertise, and can additionally support various natural language processing (NLP) tasks such as sentence compression (Ya-mangil and Nelken, 2008), lexical simplification (Yatskar et al., 2010), information retrieval (Aji et al., 2010), textual entailment recognition (Zanzotto and Pennacchiotti, 2010), language bias detection (Recasens et al., 2013), spelling errors and paraphrases (Zesch, 2012;Max and Wisniewski, 2010).