Conditional Random Fields with High-Order Features for Sequence Labeling

NeurIPS 2009 Nan YeWee S. LeeHai L. ChieuDan Wu

Dependencies among neighbouring labels in a sequence is an important source of information for sequence labeling problems. However, only dependencies between adjacent labels are commonly exploited in practice because of the high computational complexity of typical inference algorithms when longer distance dependencies are taken into account... (read more)

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