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Edinburgh Research Explorer Agile Corpus Annotation in Practice: An Overview of Manual and Automatic Annotation of CVs Citation for published version: Alex, B, Grover, C, She, R & Kabadjov, M 2010,
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Agile corpus annotation is a process of tagging data or text with relevant information for linguistic analysis or machine learning purposes.
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Researchers, data scientists, or language experts who are working on projects involving natural language processing or machine learning may be required to file agile corpus annotation.
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The purpose of agile corpus annotation is to create a labeled dataset that can be used for training and developing machine learning models or for linguistic analysis.
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Information such as text data, annotations, labels, and metadata may need to be reported on agile corpus annotation.
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