annotasjonsskjemaer
Annotasjonsskjemaer, or annotation schemes, are structured frameworks used to systematically mark and categorize information within text, images, audio, or video data. These schemes provide a common language and set of rules for annotators, ensuring consistency and accuracy in the labeling process. They are essential for training machine learning models, conducting linguistic analysis, and organizing large datasets.
The design of an annotasjonsskjema involves defining specific labels or tags that represent different entities, concepts,
Effective annotasjonsskjemaer are clear, unambiguous, and comprehensive enough to cover the relevant aspects of the data.