metaannotáció

Metaannotation refers to the process of annotating existing annotations. Essentially, it's about adding metadata or descriptive information to annotations themselves. This metadata can provide context, clarify the meaning, indicate the source, or describe the quality of the original annotation. For example, if a text annotation highlights a specific named entity, a metaannotation might specify the confidence level of that identification, the tool or human annotator responsible, or the date it was created.

In fields like natural language processing and data science, metaannotations are crucial for managing and understanding large datasets of annotated information. They allow for better organization, filtering, and analysis of annotations. For instance, one could filter annotations based on their quality score, or track the evolution of annotation guidelines over time. This layer of information above the primary annotations enhances transparency and reproducibility in annotation-based projects. The purpose is to enrich the annotation process by providing a deeper understanding of the annotations themselves, leading to more robust and reliable results.