We have shown that order-1 semi-Markov conditional random fields are strictly more expressive than order-1 Markov CRFs, and that the added expressivity enables the use of features that lead to improvements on a segmentation task.
adding semi-CRF indicator features results in a 38% error reduction without CRF-type features, and 18% with them.