Mining Naturally-occurring Corrections and Paraphrases from Wikipedia's Revision History
This provides a resource for training and evaluating NLP systems, but it is incremental as it builds on existing methods for extracting edits from Wikipedia.
The authors tackled the problem of lacking large-scale natural linguistic data by creating WiCoPaCo, a corpus from Wikipedia's revision history containing human edits like corrections and paraphrases, and demonstrated initial applications on French.
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.