Supervised Text Segmentation Task
A Supervised Text Segmentation Task is a data-driven text segmentation task that is a Supervised Classification Task.
- AKA: Supervised Text Segmentation.
- 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 a Supervised Concept Mention Recognition Task.
- It can range from being an Unlabeled Text Segmentation Task to being a Labeled Text Segmentation Task.
- See: Supervised Text Tagging Task.
- (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 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.