Statistical Methods for Annotation Analysis.

"Statistical Methods for Annotation Analysis" is a book that provides a comprehensive overview of statistical methods used in Natural Language Processing (NLP) for annotating datasets. The book covers topics such as intercoder agreement, reliability, and validity of annotations. It also discusses different annotation tasks and the choice of coefficients for measuring agreement. The book includes practical examples and addresses challenges in interpreting agreement measures. Overall, it is a valuable resource for researchers and those interested in assessing the reliability and validity of annotated data in NLP. [Extracted from the article]

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