Package edu.stanford.nlp.sequences

This package contains classes that support sequence modeling and inference.

See:
          Description

Interface Summary
BestSequenceFinder An interface for classes capable of computing the best sequence given a SequenceModel.
DocumentReaderAndWriter This interface is used for reading data and writing output into and out of SequenceClassifiers.
SequenceListener A class capable of listening to changes about a sequence, represented as an array of type int.
SequenceModel Class capable of scoring sequences of a fixed length, typically with a probability distribution over such sequences.
 

Class Summary
BeamBestSequenceFinder An class capable of computing the best sequence given a SequenceModel.
Clique This class is meant to represent a clique in a (directed or undirected) linear-chain graphical model.
ColumnDocumentReaderAndWriter DocumentReader for column format
CoNLLDocumentReaderAndWriter DocumentReader for CoNLL 03 format.
CoolingSchedule  
ExactBestSequenceFinder A class capable of computing the best sequence given a SequenceModel.
FactoredSequenceListener  
FactoredSequenceModel  
FeatureFactory This is the abstract class that all feature factories must subclass.
KBestSequenceFinder  
ObjectBankWrapper This class is used to wrap the ObjectBank used by the sequence models and is where any sort of general processing, like the IOB mapping stuff and wordshape stuff, should go.
PlainTextDocumentReaderAndWriter  
SeqClassifierFlags Flags for sequence classifiers.
SequenceGibbsSampler A Gibbs sampler for sequence models.
SequenceSampler This class will sample an output from a sequence model.
TrueCasingDocumentReaderAndWriter  
 

Package edu.stanford.nlp.sequences Description

This package contains classes that support sequence modeling and inference.

Author:
Teg Grenager (grenager@stanford.edu), Jenny Finkel


Stanford NLP Group