Mining Naturally-occurring Corrections and Paraphrases from Wikipedia's Revision History
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Abstract (arXiv)
Naturally-occurring instances of linguistic phenomena are important both for training and for evaluating automatic processes on text. When available in large quantities, they also prove interesting material for linguistic studies. In this article, we present a new resource built from Wikipedia's revision history, called WiCoPaCo (Wikipedia Correction and Paraphrase Corpus), which contains numerous editings by human contributors, including various corrections and rewritings. We discuss the main motivations for building such a resource, describe how it was built and present initial applications on French.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 0 of its 12 references that are in the map. First posted on arXiv 25 Feb 2022.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 0; 2025: 2.
4 papers.
- 2023SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pagescited by 12
- 2022Claim Optimization in Computational Argumentationcited by 3
- 2025Misspellings in Natural Language Processing: A surveycited by 3
- 2025Pay Attention to Real World Perturbations! Natural Robustness Evaluation in Machine Reading Comprehensioncited by 2
- 2025Pay Attention to Real World Perturbations! Natural Robustness Evaluation in Machine Reading Comprehension23 Feb 2025
- 2025Misspellings in Natural Language Processing: A survey28 Jan 2025
- 2023SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages30 May 2023
- 2022Claim Optimization in Computational Argumentation17 Dec 2022