Sequence Segmentation Predictor Feature

A Sequence Segmentation Predictor Feature is a segment predictor feature associated with a Sequence Segment.

• AKA: Sequence Segment Predictor Feature.
• Context:
  • It can be used in a Supervised Sequence Segmentation Task (by a Supervised Sequence Segmentation Algorithm).
  • It can be a Text Window-based Predictor Feature.
  • It can be a Sequence Member Predictor Feature.
• Example(s):
  • a Text Segment Predictor Feature.
  • …
• Counter-Example(s):
  • Sequence Tagging Predictor Feature.
  • a Graph Segmentation Predictor Feature/Graph Segment Predictor Feature.
• See: Sequence Segmentation Task.

---

---

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
  • … Examples of such segment level features for extraction tasks are: the whole entity has an exact match in a 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. Sequence segmentation models provide a direct and natural way of encapsulating all such entity features.

---