Annotated Text-Item

An Annotated Text-Item is a text item that is an annotated artifact (with annotation markup).

• AKA: Marked-up Text, Tagged Text Item, Enriched Text.
• Context:
  • It can typically contain Annotation Metadata through embedded markup or external reference systems.
  • It can typically preserve Original Text Content alongside annotation layers.
  • It can typically support Multiple Annotation Types through annotation schemas.
  • It can typically enable Text Analysis through structured annotations.
  • It can typically facilitate Content Classification through categorical annotations.
  • ...
  • It can often be created within a Text Annotation Project (or text annotation program).
  • It can often serve as training data for natural language processing models.
  • It can often follow Annotation Guidelines for consistency and quality control.
  • It can often include Confidence Scores for annotation reliability.
  • It can often undergo Inter-Annotator Agreement Assessment for quality verification.
  • ...
  • It can range from being an Externally Annotated Text Item (with annotations about the entire text item) to being an Internally Annotated Text Item (with annotations about internal text item components).
  • It can range from being a Semantically Annotated Text Item to being a Syntactically Annotated Text Item.
  • It can range from being an Annotated Sentence to being an Annotated Text Document.
  • It can range from being a Human Annotated Text Item to being a Machine Annotated Text Item, depending on its annotation source.
  • It can range from being a Lightly Annotated Text Item to being a Densely Annotated Text Item, depending on its annotation density.
  • It can range from being a Single-Layer Annotated Text to being a Multi-Layer Annotated Text, depending on its annotation complexity.
  • ...
  • It can be an output of a Text Annotation Task.
  • It can be an input to an Annotated Text Repair Task, Annotated Text Editing Task, Text Mining Process, or Annotation Verification Process.
  • It can be a member of an Annotated Corpora.
  • It can be used for Information Extraction from unstructured text.
  • It can provide Linguistic Context through contextual annotations.
  • It can support Cross-Document Reference through entity linking annotations.
  • ...
• Examples:
  • Annotated Text Document Types, such as:
    • Linguistic Annotations, such as:
      • Part-of-Speech Tagged Text for syntactic analysis.
      • Named Entity Annotated Text for entity recognition.
      • Dependency Parsed Text for grammatical relationship analysis.
      • Coreference Annotated Text for reference resolution.
    • Semantic Annotations, such as:
      • Sentiment Annotated Text for opinion mining.
      • Topic Annotated Document for subject classification.
      • Intent Annotated Query for search understanding.
      • Relation Annotated Text for knowledge extraction.
    • Structural Annotations, such as:
      • Section Marked Text for document segmentation.
      • Citation Annotated Text for reference tracking.
      • Rhetorical Structure Annotated Text for discourse analysis.
  • Specific Text Item Types, such as:
    • CPROD1 Annotated Textitem for product classification.
    • Annotated Text Sentence for sentence-level analysis.
    • Annotated Mention for reference identification.
    • Annotated Product Offering Title for e-commerce categorization.
    • Word Mention Annotated Text Item for lexical analysis.
    • Tokenized Text Item for text processing.
    • Annotated Contract Provision Sentence for legal analysis.
  • Revision-Tracking Annotations, such as:
    • Redlined Text Document for change management.
    • Editorial Markup Text for document revision.
    • Tracked Changes Document for collaborative editing.
    • Version-Differentiated Text for document history.
    • Comment-Annotated Draft for feedback incorporation.
  • ...
• Counter-Examples:
  • Unannotated Text Item, which lacks any markup or annotation layers.
  • Annotated DNA Sequence, which applies annotation to genetic material rather than linguistic content.
  • Image Annotation, which applies markup to visual content rather than text.
  • Raw Text Corpus, which contains text collections without structured annotations.
  • Binary Document Format, which stores documents in non-text formats without human-readable annotations.
• See: Natural Language Processing, Markup Language, Annotated Written Artifact, Text Corpus, Linguistic Annotation, Document Markup System, Collaborative Text Editing, Redlined Annotated Text.

---