Supervised Text Segmentation Task

A Supervised Text Segmentation Task is a text segmentation task that is a supervised string segmentation task.

• Context:
  • It can be solved by a Supervised Text Segmentation System (that implements a supervised text segmentation algorithm).
  • It can support a Supervised Text Segment Recognition Task (such as supervised named entity recognition).
  • It can range from being an Unlabeled Text Segmentation Task to being a Labeled Text Segmentation Task.
  • ...
• Example(s):
  • a Supervised NP Chunking Task.
  • a Supervised Concept Mention Chunking Task.
  • …
• Counter-Example(s):
  • a Supervised DNA Segmentation Task.
  • a Supervised Text Classification Task.
  • an Unsupervised Text Segmentation Task.
  • an Heuristic Text Segmentation Task.
• See: Supervised Text Tagging Task.

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References

2006

• (Sarawagi, 2006) ⇒ Sunita Sarawagi. (2006). “Efficient Inference on Sequence Segmentation Models.” In: Proceedings of the 23rd International Conference on Machine Learning (ICML 2006). doi:10.1145/1143844.1143944
  • QUOTE: ... Examples of such segment level features for extraction tasks are: the whole entity has an exact match in an database of entities, the length of the entity is between 4 and 8 words, the third or fourth token of the entity is a “-”, and the last three tokens in the entity are digits. ...

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