Annotation Guidelines Document

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An Annotation Guidelines Document is a guidelines document with annotation guideline items for data annotation task.

Example(s):

Helpful Resources and Best Practices:



References

2024

  • (GPT-4 Guidelines Summary, 2024)⇒
    • Clarify the Task and Its Importance: Annotation tasks must be clearly explained, including the rationale behind the task and its significance to the overall project, to ensure annotators understand their objectives and the impact of their work.
    • Address Domain-Specific Knowledge and Edge Cases: Guidelines should cover domain-specific knowledge gaps and provide explicit instructions on handling edge cases, enabling annotators to effectively manage ambiguous or outlier scenarios.
    • Iterative Development and Pilot Annotations: The development of annotation guidelines should be an iterative process, starting with pilot annotations by domain-familiar annotators to identify ambiguities and disagreements early, leading to continuous refinement.
    • Consider Your Audience and Iterate Early: Understanding the annotators' background and expertise is crucial for tailoring the guidelines appropriately. Early iterations after initial annotations can refine definitions and improve clarity.
    • Include Real-World Examples and Problematic Cases: Providing real-world annotation examples, especially for problematic cases, aids annotators in comprehending complex tasks and making informed decisions.
    • Feedback and Open Communication: Regular feedback and maintaining open lines of communication are vital for resolving annotators' issues and questions, fostering continuous improvement of the guidelines.
    • Specificity and Objectivity: Strive for specificity and objectivity in the guidelines to reduce subjectivity and ensure consistent annotations across different annotators. Comprehensive lists of terms, categories, and examples are beneficial.

2009

  • http://www.geneontology.org/GO.annotation.shtml
    • QUOTE: Annotation is the process of assigning GO terms to gene products. The annotation data in the GO database is contributed by members of the GO Consortium, and the Consortium is actively encouraging new groups to start contributing annotation. The GO annotation guide details more about the annotation process; other pages of interest may be the GO annotation conventions, the standard operating procedures used by some consortium members, and the GO annotation file format guide.

2006

2005

2001