Class Summary |
CRFOptimizableByEntropyRegularization |
A CRF objective function that is the entropy of the CRF's
predictions on unlabeled data. |
CRFOptimizableByGE |
Optimizable for CRF using Generalized Expectation constraints that
consider either a single label or a pair of labels of a linear chain CRF. |
CRFTrainerByEntropyRegularization |
A CRF trainer that maximizes the log-likelihood plus
a weighted entropy regularization term on unlabeled
data. |
CRFTrainerByGE |
Trains a CRF using Generalized Expectation constraints that
consider either a single label or a pair of labels of a linear chain CRF. |
CRFTrainerByLikelihoodAndGE |
|
EntropyLattice |
Runs subsequence constrained forward-backward to compute the entropy of label
sequences. |
FSTConstraintUtil |
Expectation constraint utilities for fst package. |
GELattice |
Runs the dynamic programming algorithm of [Mann and McCallum 08] for
computing the gradient of a Generalized Expectation constraint that
considers a single label of a linear chain CRF. |
StateLabelMap |
Maps states in the lattice to labels. |