Automated Classification Task

An Automated Classification Task is a classification task that is an automated task (performed by a mechanical system).

• AKA: Automated Labeling, Auto Categorization.
• Context:
  • It can be a Data-Driven Task.
  • …
• Example(s):
  • a Supervised Labeled Training Set.
  • an Automated Text-Item Classification Task.
  • …
• Counter-Example(s):
  • Manual Classification Task.
  • Automated Ranking Task.
  • Automated Estimation Task.
• See: Prediction Task.

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References

2009

• (Diab et al., 2009) ⇒ Mona T. Diab, Lori Levin, Teruko Mitamura, Owen Rambow, Vinodkumar Prabhakaran, and Weiwei Guo. (2009). “Committed Belief Annotation and Tagging.” In: Proceedings of the Third Linguistic Annotation Workshop. ISBN:978-1-932432-52-7
  • QUOTE: We present a preliminary pilot study of belief annotation and automatic tagging. Our objective is to explore semantic meaning beyond surface propositions. We aim to model people's cognitive states, namely their beliefs as expressed through linguistic means. … We classify predicates into one of three possibilities: committed belief, non committed belief, or not applicable.

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