Deprecated API

Contents

• Deprecated Classes
• Deprecated Methods
• Deprecated Constructors

Deprecated Classes

edu.cmu.minorthird.text.BOWClassifierWrapper

edu.cmu.minorthird.text.Dependencies
Use the require mechanism instead. deprecatd as of 3/9/2007

Deprecated Methods

edu.cmu.minorthird.text.mixup.MixupProgram.eval(MonotonicTextLabels)
Use MixupInterpreter to evaluate mixup programs

edu.cmu.minorthird.text.mixup.MixupProgram.eval(MonotonicTextLabels, TextBase)
Use MixupInterpreter to evaluate mixup programs

edu.cmu.minorthird.text.learn.SpanFE.extractInstance(Span)
Use extractInstance(TextLabels labels,Span s)

edu.cmu.minorthird.text.TextBaseLoader.loadDirOfTaggedFiles(File)

edu.cmu.minorthird.text.TextBaseLoader.loadDocPerLine(File, boolean)

edu.cmu.minorthird.text.TextBaseLoader.loadTaggedFiles(TextBase, File)

edu.cmu.minorthird.text.TextLabelsLoader.markupDocumentSpan(String, TextLabels)
use createXMLMarkup(String documentId,TextLabels labels) Save extracted data in an XML format. Convert to string <root>..<type>...</type>..</root> nested things <a>A<b>B</b>C</a> are stored as nested things <a>A<set v=a,b>B</set>C</a> where single sets are simplified so mismatches like [A (B C] D)E are stored as <a>a<set v=a,b>B C</set></a><b>D</b>E

Deprecated Constructors

edu.cmu.minorthird.classify.CascadingBinaryLearner(ClassifierLearnerFactory)
use CascadingBinaryLearner(BatchClassifierLearner learner)

edu.cmu.minorthird.classify.MostFrequentFirstLearner(ClassifierLearnerFactory)
use MostFrequentFirstLearner(BatchClassifierLearner learner)

edu.cmu.minorthird.classify.OneVsAllLearner(ClassifierLearnerFactory)
use OneVsAllLearner(BatchClassifierLearner learner)

edu.cmu.minorthird.text.TextBaseLoader(int, int)

edu.cmu.minorthird.text.TextBaseLoader(int, int, boolean)

edu.cmu.minorthird.text.TextBaseLoader(int, int, int, int)

edu.cmu.minorthird.text.TextBaseLoader(int, int, int, int, boolean, boolean)