(2010) apply a minimally supervised approach to extracting entities from text advertisements.
t-SEG models Named Entity Segmentation as a sequence-labeling task using IOB encoding for representing segmentations (each word either begins, is inside, or is outside of a named entity), and uses Conditional Random Fields for learning and inference.