Word Mention Tagging Task

A Word Mention Tagging Task is a word classification task that is a string item tagging task (each orthographic word mention gets a class label).

• AKA: Word Mention Classification.
• Context:
  • Input: a Text Item; and a Word Class.
    • optional: a Training Set.
    • optional: a Sequence Tagging Function.
  • output: a Tagged Text.
    • optional: a Sequence Tagging Function.
  • It can be solved by a Word Mention Classification System.
  • It can be supported by a Text Tokenization Task.
  • It can range from being a Heuristic Word Mention Classification Task to being a Data-Driven Word Mention Classification Task (such as a supervised text tagging task).
• Example(s):
  • a Part-of-Speech Tagging Task.
  • an (Orthographic) Word Sense Identification Task,
• Counter-Example(s):
  • a Concept Mention Classification Task (because concept mentions can cover more than one word mention)
  • a Text Segment Classification Task.
  • a Text Segmentation Task.
  • a Text Item Classification Task.
  • a Semantic Role Labeling Task.
  • a DNA Tagging Task.
• See: Text Matching Task, Text Annotation Task, Text Sequence Alignment Task, Word Sense Disambiguation Task, Natural Language Processing Task.

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