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CRF versus HMM. (A) In an HMM, the labels generate the observations, while in a CRF, co-occurrences of the label and observations are associated. (B) HMMs model the joint probability and must consequently model the dependencies in the observations, while CRFs only model the dependencies of the label on the data.
