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See:
Description
Class Summary | |
---|---|
CRFClassifier<IN extends CoreMap> | Class for Sequence Classification using a Conditional Random Field model. |
CRFClassifier.TestSequenceModel | |
CRFClassifierEvaluator<IN extends CoreMap> | Evaluates CRFClassifier on a set of data - called by QNMinimizer periodically - If evalCmd is set, runs command line specified by evalCmd otherwise does evaluation internally NOTE: when running conlleval with exec on Linux, linux will first fork process by duplicating memory of current process. |
CRFCliqueTree | 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
- Usage: CRFFeatureExporter -prop |
CRFLabel | |
CRFLogConditionalObjectiveFloatFunction | |
CRFLogConditionalObjectiveFunction | |
FactorTable | Stores a factor table as a one dimensional array of doubles. |
FloatFactorTable | Stores a factor table as a one dimensional array of floats. |
NERGUI | A GUI for Named Entity sequence classifiers. |
A package for doing inference with conditional random fields. This implements the common, standard case of a linear chain CRF of arbitrary order (though usually first order in practice) where each position can be labeled with one of a fixed set of classes.
Through the use of different
edu.stanford.nlp.ie.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.
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