Text-Item Token Classification Task

A Text-Item Token Classification Task is a sequence-member classification task whose input is a tokenized text.

• AKA: Text Token Tagging.
• Context:
  • It can be solved by a Text Sequence Token Classification System (such as a POS-tagging system) that implements a Text Sequence Token Classification Algorithm.
  • It can range from being a Heuristic Text Sequence Token Classification Task to being a Data-Driven Text Sequence Token Classification Task (such as a supervised text sequence token classification task).
• Example(s):
  • a POS-Tagging Task.
  • …
• Counter-Example(s):
  • a Text Chunking Task.
  • a Named Entity Recognition Task.
  • a Image Tagging Task.
  • a Text Item Tagging Task.
  • a Face Recognition Task.
  • a DNA Nucleotide Classification Task.
• See: Word Mention Classification.

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