See: Description
Interface | Description |
---|---|
CliquePotentialFunction | |
HasCliquePotentialFunction |
Indicates that this function can build a clique potential function for external use
|
Class | Description |
---|---|
CRFBiasedClassifier<IN extends CoreMap> |
CRFBiasedClassifier is used to adjust the precision-recall tradeoff
of any CRF model implemented using CRFClassifier.
|
CRFClassifier<IN extends CoreMap> |
Class for sequence classification using a Conditional Random Field model.
|
CRFClassifierEvaluator<IN extends CoreMap> |
Evaluates a CRFClassifier on a set of data.
|
CRFClassifierFloat<IN extends CoreMap> |
Subclass of CRFClassifier that performs dropout feature-noisying training
|
CRFClassifierNoisyLabel<IN extends CoreMap> |
Subclass of CRFClassifier for modeling noisy label
|
CRFClassifierNonlinear<IN extends CoreMap> |
Subclass of
CRFClassifier for implementing the nonlinear architecture in [Wang and Manning IJCNLP-2013 Effect of Nonlinear ...]. |
CRFClassifierWithDropout<IN extends CoreMap> |
Subclass of CRFClassifier that performs dropout feature-noising training.
|
CRFClassifierWithLOP<IN extends CoreMap> |
Subclass of
CRFClassifier for learning Logarithmic Opinion Pools. |
CRFCliqueTree<E> |
Builds a CliqueTree (an array of FactorTable) and does message passing
inference along it.
|
CRFDatum<FEAT,LAB> |
The representation of Datums used internally in CRFClassifier.
|
CRFFeatureExporter<IN extends CoreMap> |
Exports CRF features for use with other programs.
|
CRFLabel | |
CRFLogConditionalObjectiveFloatFunction | |
CRFLogConditionalObjectiveFunction | |
CRFLogConditionalObjectiveFunctionForLOP | |
CRFLogConditionalObjectiveFunctionNoisyLabel | |
CRFLogConditionalObjectiveFunctionWithDropout | |
CRFNonLinearLogConditionalObjectiveFunction | |
CRFNonLinearSecondOrderLogConditionalObjectiveFunction | |
FactorTable |
Stores a factor table as a one dimensional array of doubles.
|
FloatFactorTable |
Stores a factor table as a one dimensional array of floats.
|
LabelDictionary |
Constrains test-time inference to labels observed in training.
|
LinearCliquePotentialFunction | |
NERGUI |
A GUI for Named Entity sequence classifiers.
|
NoisyLabelLinearCliquePotentialFunction | |
NonLinearCliquePotentialFunction | |
NonLinearSecondOrderCliquePotentialFunction | |
TestSequenceModel |
For sequence model inference at test-time.
|
Through the use of different
edu.stanford.nlp.sequences.FeatureFactory
classes and different
edu.stanford.nlp.sequences.DocumentReaderAndWriter
classes,
it can read data in various formats, and be customized for various
sequence inference tasks. Most of its use has been for Named Entity
Recognition, but it has also been used for other applications such as
Chinese word segmentation and OCR.
For more usage information, consult the Javadoc of the
CRFClassifier
class.