Package edu.cmu.minorthird.ui

Class Summary

advancedParameters	Defines the list of classes that can be selected by an instance of UIMain.
ApplyAnnotator	Apply a serialized annotator.
CommandLineUtil	Minorthird-specific utilities for command line based interface routines.
CommandLineUtil.AnnotatorOutputParams
CommandLineUtil.BaseParams	Basic parameters used by almost everything.
CommandLineUtil.ClassificationSignalParams	Parameters encoding the 'training signal' for classification learning.
CommandLineUtil.EditParams	Parameters used by all 'train' routines.
CommandLineUtil.ExtractionSignalParams	Parameters encoding the 'training signal' for extraction learning.
CommandLineUtil.GUIParams	Basic parameters used by everything with a gui.
CommandLineUtil.LoadAnnotatorParams	Parameters for testing a stored classifier.
CommandLineUtil.MixupParams
CommandLineUtil.MultiClassificationSignalParams	Parameters encoding the 'training signal' for extraction learning.
CommandLineUtil.OnlineBaseParams	Basic parameters used by almost everything.
CommandLineUtil.OnlineLearnerParams	Parameters for Adding Examples to a Online Classifier
CommandLineUtil.OnlineSignalParams	Parameters encoding the 'training signal' for extraction learning.
CommandLineUtil.SaveParams	Parameters used by all 'train' routines.
CommandLineUtil.SplitterParams	Parameters for doing train/test evaluation of a classifier.
CommandLineUtil.TaggerSignalParams	Parameters encoding the 'training signal' for learning a token-tagger.
CommandLineUtil.TestClassifierParams	Parameters for testing a stored classifier.
CommandLineUtil.TestExtractorParams	Parameters for testing a stored classifier.
CommandLineUtil.TrainClassifierParams	Parameters for training a classifier.
CommandLineUtil.TrainExtractorParams	Parameters for training an extractor.
CommandLineUtil.TrainTaggerParams	Parameters for training an extractor.
CommandLineUtil.ViewLabelsParams
DebugMixup	Run a mixup program.
EditLabels	Hand-label some documents.
FileChooserViewer	A panel with a text area and a browse button
Help	Help for the command-line interface.
OnlineLearner	Start an Online Learner
PreprocessTextForClassifier	Preprocess text data for classification.
PreprocessTextForExtractor	Preprocess extraction text data for sequential learning methods.
Recommended	In Minorthird it is possible to build up constructs like learners, feature extractors, and so on compositionally, out of simpler pieces.
Recommended.BoostedDecisionTreeLearner	Uses AdaBoost to boosts the default decision tree learner 10 times.
Recommended.BoostedStumpLearner	Uses AdaBoost to boosts a two-level decision tree learner 100 times.
Recommended.CascadingBinaryLearner
Recommended.CRFAnnotatorLearner	Implements the CRF algorithm.
Recommended.DecisionTreeLearner	A simple decision tree learner.
Recommended.DocumentFE	A simple bag-of-words feature extractor.
Recommended.HMMAnnotatorLearner	a hidden Markov model (HMM), by zkou
Recommended.HMMTokenFE
Recommended.KnnLearner	K-NN learner following Yang and Chute.
Recommended.MaxEntLearner	A maximum entropy learner.
Recommended.MEMMLearner	Uses logistic regression/Maximum entropy to learn a condition Markov model (CMM), aka "maxent Markov model" (MEMM).
Recommended.MostFrequentFirstLearner
Recommended.MultitokenSpanFE	An extraction-oriented feature extractor to apply to multi-token spans.
Recommended.NaiveBayes	Multinomial Naive Bayes, as in McCallum's Rainbow package.
Recommended.OneVsAllLearner
Recommended.SemiCRFAnnotatorLearner	Learns a semi-Markovian extension of CRFs.
Recommended.SVMCMMLearner	Uses probabilistic SVM to learn a condition Markov model (CMM).
Recommended.SVMLearner	A simple SVM learner with a linear kernel.
Recommended.TokenFE	An extraction-oriented feature extractor, which should be applied to one-token spans.
Recommended.TokenPropUsingFE	A simple bag-of-words feature extractor, with words being put in lower case.
Recommended.TweakedLearner	A Tweaked Learner, with an optimization of the precision vs.
Recommended.VotedPerceptronLearner	Voted perceptron learning following Freund & Schapire.
Recommended.VPCMMLearner	Uses the voted perceptron algorithm to learn a "conditional Markov model" (CMM).
Recommended.VPHMMLearner	Uses the voted perceptron algorithm to learn a parameters of a hidden Markov model (HMM).
Recommended.VPSMMLearner	Uses the voted perceptron algorithm to learn the parameters for a hidden semi-Markov model (SMM).
Recommended.VPSMMLearner2	Uses the voted perceptron algorithm to learn the parameters for a hidden semi-Markov model (SMM).
Recommended.VPTagLearner
RunMixup	Run a mixup program.
SimpleClassifierUI	A simple UI for training and testing classifiers
TestClassifier	Test an existing text classifier.
TestExtractor	Do a train/test experiment for named-entity extractors.
TestMultiClassifier	Test an existing text classifier for multiple labels.
TrainClassifier	Train a text classifier.
TrainExtractor	Train a named-entity extractor.
TrainMultiClassifier	Train a text classifier.
TrainTestClassifier	Do a train/test experiment on a text classifier.
TrainTestExtractor	Do a train/test experiment for named-entity extractors.
TrainTestMultiClassifier	Do a train/test experiment on a text classifier for data with multiple labels.
TrainTestTagger	Do a train/test experiment for word taggers.
UIMain	Main UI program.
ViewLabels	Interactively view TextLabels.