Semi-Markov Conditional Random Fields for Information Extraction
Sarawagi, Sunita, Cohen, William W.
–Neural Information Processing Systems
We describe semi-Markov conditional random fields (semi-CRFs), a conditionally trained version of semi-Markov chains. Intuitively, a semi-CRF on an input sequence x outputs a "segmentation" of x, in which labels are assigned to segments (i.e., subsequences) of x rather than to individual elements x
Neural Information Processing Systems
Dec-31-2005
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