edu.cmu.minorthird.text.learn.experiments
Class TextLabelsExperiment

java.lang.Object
  edu.cmu.minorthird.text.learn.experiments.TextLabelsExperiment

All Implemented Interfaces:

Visible

public class TextLabelsExperiment
extends java.lang.Object
implements Visible

Run an annotation-learning experiment based on pre-labeled text.

Author:

William Cohen

Constructor Summary

TextLabelsExperiment(TextLabels labels, Splitter<Span> splitter, AnnotatorLearner learner, java.lang.String inputType, java.lang.String outputLabel)

TextLabelsExperiment(TextLabels labels, Splitter<Span> splitter, java.lang.String learnerName, java.lang.String spanType, java.lang.String spanProp, java.lang.String outputLabel)

TextLabelsExperiment(TextLabels labels, Splitter<Span> splitter, java.lang.String learnerName, java.lang.String spanType, java.lang.String spanProp, java.lang.String outputLabel, Extraction2TaggingReduction reduce)

TextLabelsExperiment(TextLabels labels, Splitter<Span> splitter, TextLabels testLabels, AnnotatorLearner learner, java.lang.String inputType, java.lang.String inputProp, java.lang.String outputLabel)

Method Summary

void	doExperiment()
ExtractionEvaluation	getEvaluation()
SampleFE.ExtractionFE	getFE()
TextLabels	getTestLabels()
static void	main(java.lang.String[] args)
AnnotatorLearner	toAnnotatorLearner(java.lang.String s)
Viewer	toGUI() Create a view of this object
static BatchSequenceClassifierLearner	toSeqLearner(java.lang.String learnerName)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

TextLabelsExperiment

public TextLabelsExperiment(TextLabels labels,
                            Splitter<Span> splitter,
                            java.lang.String learnerName,
                            java.lang.String spanType,
                            java.lang.String spanProp,
                            java.lang.String outputLabel)

Parameters:

labels - The labels and base to be annotated in the example These are the training examples

splitter - splitter for the documents in the labels to create test vs. train

learnerName - AnnotatorLearner algorithm object to use

spanType - spanType in the TextLabels to use as training data. (I.e., the spanType to learn.

spanProp - span property in the TextLabels to use as training data.

outputLabel - the spanType that will be assigned to spans predicted to be of type inputLabel by the learner (I.e., the output type associated with the learned annotator.)

TextLabelsExperiment

public TextLabelsExperiment(TextLabels labels,
                            Splitter<Span> splitter,
                            java.lang.String learnerName,
                            java.lang.String spanType,
                            java.lang.String spanProp,
                            java.lang.String outputLabel,
                            Extraction2TaggingReduction reduce)

TextLabelsExperiment

public TextLabelsExperiment(TextLabels labels,
                            Splitter<Span> splitter,
                            AnnotatorLearner learner,
                            java.lang.String inputType,
                            java.lang.String outputLabel)

TextLabelsExperiment

public TextLabelsExperiment(TextLabels labels,
                            Splitter<Span> splitter,
                            TextLabels testLabels,
                            AnnotatorLearner learner,
                            java.lang.String inputType,
                            java.lang.String inputProp,
                            java.lang.String outputLabel)

Parameters:

labels - TextLabels to train on

splitter - how to partition labels into train/test

testLabels - if splitter is a FixedTestSetSplitter, these are the labels for the test cases. Otherwise the labels for the test cases are given in the "labels" input.

learner - the learner to user

inputType - the spanType to learn to extract (if non-null)

inputProp - the spanProp to learn to extract and label (if non-null)

outputLabel - the spanType/spanProp used for predictions

Method Detail

getFE

public SampleFE.ExtractionFE getFE()

doExperiment

public void doExperiment()

getEvaluation

public ExtractionEvaluation getEvaluation()

toGUI

public Viewer toGUI()

Description copied from interface: Visible

Create a view of this object

Specified by:

toGUI in interface Visible

toAnnotatorLearner

public AnnotatorLearner toAnnotatorLearner(java.lang.String s)

toSeqLearner

public static BatchSequenceClassifierLearner toSeqLearner(java.lang.String learnerName)

getTestLabels

public TextLabels getTestLabels()

main

public static void main(java.lang.String[] args)