annotasjonsmodeller
Annotasjonsmodeller, often referred to as annotation models or markup models, are conceptual frameworks or structured representations used to systematically label and describe data. These models provide a standardized way to add metadata, tags, or annotations to various types of information, such as text, images, audio, or video. The primary purpose of an annotasjonsmodell is to facilitate the understanding, analysis, and utilization of the annotated data.
Different annotasjonsmodeller are designed for specific tasks and data types. For instance, in natural language processing,
The use of annotasjonsmodeller is crucial for supervised machine learning, where labeled data is used to train