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):
- Counter-Example(s):
- 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.