import org.cleartk.ml.feature.extractor.CleartkExtractor.Preceding; //导入依赖的package包/类
@Override
public void initialize(UimaContext context) throws ResourceInitializationException {
	super.initialize(context);

	// the token feature extractor: text, char pattern (uppercase, digits,
	// etc.), and part-of-speech
	this.extractor = new CombinedExtractor1<Token>(new CoveredTextExtractor<Token>(),
			new FeatureFunctionExtractor<Token>(new CoveredTextExtractor<Token>(),
					new CharacterCategoryPatternFunction<Token>(
							CharacterCategoryPatternFunction.PatternType.REPEATS_MERGED))
	/* , new TypePathExtractor(Token.class, "pos") */);

	// the context feature extractor: the features above for the 3 preceding
	// and 3 following tokens
	this.contextExtractor = new CleartkExtractor<Token, Token>(Token.class, this.extractor, new Preceding(3),
			new Following(3));

	// the chunking definition: Tokens will be combined to form Reason annotation
	this.chunking = new BioChunking<Token, Reason>(Token.class, Reason.class, null);
}
 

import org.cleartk.ml.feature.extractor.CleartkExtractor.Preceding; //导入依赖的package包/类
@Override
public void initialize(UimaContext context) throws ResourceInitializationException {
	super.initialize(context);

	// the token feature extractor: text, char pattern (uppercase, digits,
	// etc.), and part-of-speech
	this.extractor = new CombinedExtractor1<Token>(

			new FeatureFunctionExtractor<Token>(new CoveredTextExtractor<Token>(),
					new CharacterCategoryPatternFunction<Token>(PatternType.REPEATS_MERGED)),
			new TypePathExtractor<Token>(Token.class, "pos/PosValue"));

	// the context feature extractor: the features above for the 3 preceding
	// and 3 following tokens
	this.contextExtractor = new CleartkExtractor<Token, Token>(Token.class, this.extractor, new Preceding(2),
			new Following(1));

	// the chunking definition: Tokens will be combined to form
	// NamedEntityMentions, with labels
	// from the "mentionType" attribute so that we get B-location, I-person,
	// etc.
	this.chunking = new BioChunking<Token, FigureMention>(Token.class, FigureMention.class);
}
 

import org.cleartk.ml.feature.extractor.CleartkExtractor.Preceding; //导入依赖的package包/类
public void initialize(UimaContext context) throws ResourceInitializationException {
  super.initialize(context);

  // a feature extractor that creates features corresponding to the word, the word lower cased
  // the capitalization of the word, the numeric characterization of the word, and character ngram
  // suffixes of length 2 and 3.
  this.tokenFeatureExtractor = new FeatureFunctionExtractor<Token>(
      new CoveredTextExtractor<Token>(),
      new LowerCaseFeatureFunction(),
      new CapitalTypeFeatureFunction(),
      new NumericTypeFeatureFunction(),
      new CharacterNgramFeatureFunction(Orientation.RIGHT_TO_LEFT, 0, 2),
      new CharacterNgramFeatureFunction(Orientation.RIGHT_TO_LEFT, 0, 3));

  // a feature extractor that extracts the surrounding token texts (within the same sentence)
  this.contextFeatureExtractor = new CleartkExtractor<Token, Token>(
      Token.class,
      new CoveredTextExtractor<Token>(),
      new Preceding(2),
      new Following(2));
}
 

import org.cleartk.ml.feature.extractor.CleartkExtractor.Preceding; //导入依赖的package包/类
@Override
public void initialize(UimaContext context) throws ResourceInitializationException {
  super.initialize(context);

  // the token feature extractor: text, char pattern (uppercase, digits, etc.), and part-of-speech
  this.extractor = new CombinedExtractor1<Token>(
      new FeatureFunctionExtractor<Token>(
          new CoveredTextExtractor<Token>(),
          new CharacterCategoryPatternFunction<Token>(PatternType.REPEATS_MERGED)),
      new TypePathExtractor<Token>(Token.class, "pos"));

  // the context feature extractor: the features above for the 3 preceding and 3 following tokens
  this.contextExtractor = new CleartkExtractor<Token, Token>(
      Token.class,
      this.extractor,
      new Preceding(3),
      new Following(3));

  // the chunking definition: Tokens will be combined to form NamedEntityMentions, with labels
  // from the "mentionType" attribute so that we get B-location, I-person, etc.
  this.chunking = new BioChunking<Token, NamedEntityMention>(
      Token.class,
      NamedEntityMention.class,
      "mentionType");
}
 

import org.cleartk.ml.feature.extractor.CleartkExtractor.Preceding; //导入依赖的package包/类
@Override
public void initialize(UimaContext context) throws ResourceInitializationException {
  super.initialize(context);

  // define chunking type
  this.chunking = new BioChunking<Token, Time>(Token.class, Time.class);

  // add features: word, character pattern, stem, pos
  this.tokenFeatureExtractors = Lists.newArrayList();
  this.tokenFeatureExtractors.add(new CoveredTextExtractor<Token>());
  NamedFeatureExtractor1<Token> ex = CharacterCategoryPatternFunction.createExtractor();
  this.tokenFeatureExtractors.add(ex);
  this.tokenFeatureExtractors.add(new TimeWordsExtractor<Token>());
  this.tokenFeatureExtractors.add(new TypePathExtractor<Token>(Token.class, "stem"));
  this.tokenFeatureExtractors.add(new TypePathExtractor<Token>(Token.class, "pos"));
      
  // add window of features before and after
  this.contextFeatureExtractors = Lists.newArrayList();
  for (FeatureExtractor1<Token> extractor : this.tokenFeatureExtractors) {
    this.contextFeatureExtractors.add(new CleartkExtractor<Token, Token>(Token.class, extractor, new Preceding(
        3), new Following(3)));
  }
}
 

import org.cleartk.ml.feature.extractor.CleartkExtractor.Preceding; //导入依赖的package包/类
@Override
public void initialize(UimaContext context) throws ResourceInitializationException {
  super.initialize(context);

  // add features: word, stem, pos
  this.tokenFeatureExtractors = Lists.newArrayList();
  this.tokenFeatureExtractors.add(new CoveredTextExtractor<Token>());
  this.tokenFeatureExtractors.add(new TypePathExtractor<Token>(Token.class, "stem"));
  this.tokenFeatureExtractors.add(new TypePathExtractor<Token>(Token.class, "pos"));
  this.tokenFeatureExtractors.add(new ParentNodeFeaturesExtractor());

  // add window of features before and after
  this.contextExtractors = Lists.newArrayList();
  this.contextExtractors.add(new CleartkExtractor<Token, Token>(
      Token.class,
      new CoveredTextExtractor<Token>(),
      new Preceding(3),
      new Following(3)));
}
 

import org.cleartk.ml.feature.extractor.CleartkExtractor.Preceding; //导入依赖的package包/类
public static XStream createXStream() {
	//define alias so the xml file can be read easier
	XStream xstream = new XStream();
	// org.cleartk.classifier.feature.*
	xstream.alias("TypePathExtractor", TypePathExtractor.class);
	xstream.alias("FeatureCollection", FeatureCollection.class);

	// org.cleartk.ml.feature.extractor.*
	xstream.alias("CleartkExtractor", CleartkExtractor.class);
	xstream.alias("CombinedExtractor1", CombinedExtractor1.class);
	xstream.alias("CoveredTextExtractor", CoveredTextExtractor.class);
	xstream.alias("DirectedDistanceExtractor", DirectedDistanceExtractor.class);
       xstream.alias("DistanceExtractor", DistanceExtractor.class);
       xstream.alias("FeatureExtractor1", FeatureExtractor1.class);
       xstream.alias("FeatureExtractor2", FeatureExtractor2.class);
       xstream.alias("NamedFeatureExtractor1", NamedFeatureExtractor1.class);
       xstream.alias("NamingExtractor1", NamingExtractor1.class);
       xstream.alias("RelativePositionExtractor", RelativePositionExtractor.class);
       xstream.alias("WhiteSpaceExtractor", WhiteSpaceExtractor.class);


	// within CleartkExtractor
	xstream.alias("Bag", Bag.class);
	xstream.alias("Preceding", Preceding.class);
	xstream.alias("Following", Following.class);
	xstream.alias("Covered", Covered.class);
	xstream.alias("FirstCovered", FirstCovered.class);
	xstream.alias("LastCovered", LastCovered.class);
	xstream.alias("Ngram", Ngram.class);

	xstream.alias("list", ArrayList.class);
	return xstream;
}
 

import org.cleartk.ml.feature.extractor.CleartkExtractor.Preceding; //导入依赖的package包/类
@Override
public void initialize(UimaContext context) throws ResourceInitializationException {
  super.initialize(context);
  headWordExtractor = new HeadWordExtractor<Sentence>();
  shapeExtractor = new ShapeExtractor<Token>();
  whWordExtractor = new WHWordExtractor<Sentence>();
  ngramExtractor = new CleartkExtractor<Token, Token>(Token.class, new TypePathExtractor<Token>(Token.class, "lemma"),
      new Ngram(new Preceding(1), new Focus(), new Following(1)));
}
 

import org.cleartk.ml.feature.extractor.CleartkExtractor.Preceding; //导入依赖的package包/类
public static XStream createXStream()
{
    // define alias so the xml file can be read easier
    XStream xstream = new XStream();
    xstream.alias("list", ArrayList.class);

    xstream.alias("TypePathExtractor", TypePathExtractor.class);
    xstream.alias("FeatureCollection", FeatureCollection.class);


    xstream.alias("Bag", Bag.class);
    xstream.alias("Preceding", Preceding.class);
    xstream.alias("Following", Following.class);
    xstream.alias("Covered", Covered.class);
    xstream.alias("FirstCovered", FirstCovered.class);
    xstream.alias("LastCovered", LastCovered.class);
    xstream.alias("Ngram", Ngram.class);

    xstream.alias("CleartkExtractor", CleartkExtractor.class);
    xstream.alias("Covered", Covered.class);
    xstream.alias("Following", Following.class);
    xstream.alias("Preceding", Preceding.class);
    xstream.alias("CoveredTextExtractor", CoveredTextExtractor.class);
    xstream.alias("FeatureExtractor1", FeatureExtractor1.class);
    xstream.alias("TypePathExtractor", TypePathExtractor.class);
    xstream.alias("CapitalTypeFeatureFunction", CapitalTypeFeatureFunction.class);
    xstream.alias("CharacterNgramFeatureFunction", CharacterNgramFeatureFunction.class);
    xstream.alias("FeatureFunctionExtractor", FeatureFunctionExtractor.class);
    xstream.alias("LowerCaseFeatureFunction", LowerCaseFeatureFunction.class);
    xstream.alias("NumericTypeFeatureFunction", NumericTypeFeatureFunction.class);

    return xstream;
}
 

import org.cleartk.ml.feature.extractor.CleartkExtractor.Preceding; //导入依赖的package包/类
public void initialize(UimaContext context) throws ResourceInitializationException {
  simpleExtractors = Lists.newArrayList();

  FeatureExtractor1<Token> wordExtractor = new CoveredTextExtractor<Token>();

  CharacterNgramFeatureFunction.Orientation fromLeft = CharacterNgramFeatureFunction.Orientation.LEFT_TO_RIGHT;
  CharacterNgramFeatureFunction.Orientation fromRight = CharacterNgramFeatureFunction.Orientation.RIGHT_TO_LEFT;
  simpleExtractors.add(new FeatureFunctionExtractor<Token>(
      wordExtractor,
      new LowerCaseFeatureFunction(),
      new CapitalTypeFeatureFunction(),
      new NumericTypeFeatureFunction(),
      new CharacterNgramFeatureFunction(fromLeft, 0, 1),
      new CharacterNgramFeatureFunction(fromLeft, 0, 2),
      new CharacterNgramFeatureFunction(fromLeft, 0, 3),
      new CharacterNgramFeatureFunction(fromRight, 0, 1),
      new CharacterNgramFeatureFunction(fromRight, 0, 2),
      new CharacterNgramFeatureFunction(fromRight, 0, 3),
      new CharacterNgramFeatureFunction(fromRight, 0, 4),
      new CharacterNgramFeatureFunction(fromRight, 0, 5),
      new CharacterNgramFeatureFunction(fromRight, 0, 6)));

  windowExtractors = Lists.newArrayList();
  windowExtractors.add(new CleartkExtractor<Token, Token>(
      Token.class,
      wordExtractor,
      new Preceding(2),
      new Following(2)));

  windowNGramExtractors = Lists.newArrayList();
  windowNGramExtractors.add(new CleartkExtractor<Token, Token>(Token.class, wordExtractor, new Ngram(
      new Preceding(2)), new Ngram(new Following(2))));
}
 

import org.cleartk.ml.feature.extractor.CleartkExtractor.Preceding; //导入依赖的package包/类
public void initialize(UimaContext context) throws ResourceInitializationException {
  super.initialize(context);

  // a list of feature extractors that require only the token
  this.tokenFeatureExtractors = Lists.newArrayList();

  // a list of feature extractors that require the token and the sentence
  this.tokenSentenceFeatureExtractors = Lists.newArrayList();

  // basic feature extractors for word, stem and part-of-speech
  FeatureExtractor1<Token> wordExtractor, stemExtractor;
  wordExtractor = new CoveredTextExtractor<Token>();
  stemExtractor = new TypePathExtractor<Token>(Token.class, "stem");

  // aliases for NGram feature parameters
  CharacterNgramFeatureFunction.Orientation fromRight = CharacterNgramFeatureFunction.Orientation.RIGHT_TO_LEFT;

  // add the feature extractor for the word itself
  // also add proliferators which create new features from the word text
  this.tokenFeatureExtractors.add(new FeatureFunctionExtractor<Token>(
      wordExtractor,
      new LowerCaseFeatureFunction(),
      new CapitalTypeFeatureFunction(),
      new NumericTypeFeatureFunction(),
      new CharacterNgramFeatureFunction(fromRight, 0, 2),
      new CharacterNgramFeatureFunction(fromRight, 0, 3)));

  // add the feature extractors for the stem and part of speech
  this.tokenFeatureExtractors.add(stemExtractor);

  // add 2 stems to the left and right
  this.tokenSentenceFeatureExtractors.add(new CleartkExtractor<Token, Token>(
      Token.class,
      stemExtractor,
      new Preceding(2),
      new Following(2)));

}
 

import org.cleartk.ml.feature.extractor.CleartkExtractor.Preceding; //导入依赖的package包/类
public VerbClauseTemporalAnnotator() {
  this.eventID = 1;

  FeatureExtractor1<Token> precedingAuxiliaries = new CleartkExtractor<Token, Token>(
      Token.class,
      new TokenTextForSelectedPosExtractor("MD", "TO", "IN", "VB", "RB"),
      new Preceding(3));
  FeatureExtractor1<Token> tokenStemExtractor = new TypePathExtractor<Token>(Token.class, "stem");
  FeatureExtractor1<Token> tokenPOSExtractor = new TypePathExtractor<Token>(Token.class, "pos");

  this.sourceFeatureExtractors = Lists.newArrayList();
  this.sourceFeatureExtractors.add(new NamingExtractor1<Token>("Source", new CoveredTextExtractor<Token>()));
  this.sourceFeatureExtractors.add(new NamingExtractor1<Token>("Source", tokenPOSExtractor));
  this.sourceFeatureExtractors.add(new NamingExtractor1<Token>("Source", tokenStemExtractor));
  this.sourceFeatureExtractors.add(new NamingExtractor1<Token>("Source", precedingAuxiliaries));

  this.targetFeatureExtractors = Lists.newArrayList();
  this.targetFeatureExtractors.add(new NamingExtractor1<Token>("Target", new CoveredTextExtractor<Token>()));
  this.targetFeatureExtractors.add(new NamingExtractor1<Token>("Target", tokenPOSExtractor));
  this.targetFeatureExtractors.add(new NamingExtractor1<Token>("Target", tokenStemExtractor));
  this.targetFeatureExtractors.add(new NamingExtractor1<Token>("Target", precedingAuxiliaries));

  this.betweenAnchorsFeatureExtractors = new ArrayList<FeatureExtractor1<Annotation>>();
  this.betweenAnchorsFeatureExtractors.add(new NamingExtractor1<Annotation>(
      "WordsBetween",
      new CleartkExtractor<Annotation, Token>(Token.class, new CoveredTextExtractor<Token>(), new Bag(new Covered()))));
  this.pathExtractor = new TargetPathExtractor();
}
 

import org.cleartk.ml.feature.extractor.CleartkExtractor.Preceding; //导入依赖的package包/类
@Override
public void initialize(UimaContext context) throws ResourceInitializationException {
  super.initialize(context);
  this.eventFeatureExtractors.add(new CleartkExtractor<Event, Token>(Token.class, new TypePathExtractor<Token>(
      Token.class,
      "pos"), new Bag(new Covered())));

  this.contextExtractors.add(new CleartkExtractor<Event, Token>(
      Token.class,
      new TokenTextForSelectedPosExtractor("VB"),
      new Bag(new Preceding(3))));
}
 

import org.cleartk.ml.feature.extractor.CleartkExtractor.Preceding; //导入依赖的package包/类
@Override
public void initialize(UimaContext context) throws ResourceInitializationException {
  super.initialize(context);
  this.contextExtractors.add(new CleartkExtractor<Event, Token>(
      Token.class,
      new TokenTextForSelectedPosExtractor("RB", "MD", "TO", "IN"),
      new Bag(new Preceding(3))));
}
 

import org.cleartk.ml.feature.extractor.CleartkExtractor.Preceding; //导入依赖的package包/类
@Override
public void initialize(UimaContext context) throws ResourceInitializationException {
  super.initialize(context);
  this.eventFeatureExtractors.add(new TextSliceExtractor<Event>(-2));
  this.eventFeatureExtractors.add(new CleartkExtractor<Event, Token>(Token.class, new TypePathExtractor<Token>(
      Token.class,
      "pos"), new Bag(new Covered())));

  this.contextExtractors.add(new CleartkExtractor<Event, Token>(
      Token.class,
      new TokenTextForSelectedPosExtractor("MD", "TO", "IN", "VB"),
      new Preceding(3)));
}
 

import org.cleartk.ml.feature.extractor.CleartkExtractor.Preceding; //导入依赖的package包/类
@Override
public void initialize(UimaContext context) throws ResourceInitializationException {
  super.initialize(context);
  this.contextExtractors.add(new CleartkExtractor<Event, Token>(
      Token.class,
      new TokenTextForSelectedPosExtractor("RB"),
      new Bag(new Preceding(3))));
}
 

import org.cleartk.ml.feature.extractor.CleartkExtractor.Preceding; //导入依赖的package包/类
@Test
public void testNgrams() throws Exception {
  CleartkExtractor<Chunk, Token> extractor = new CleartkExtractor<Chunk, Token>(
      Token.class,
      new CoveredTextExtractor<Token>(),
      new Ngrams(2, new Preceding(3)),
      new Ngrams(2, new Following(3)),
      new Ngrams(4, new Preceding(3), new Following(3)),
      new Ngrams(3, new Preceding(1, 5)),
      new Ngrams(2, new Covered()),
      new Ngrams(3, new Covered()));

  this.tokenBuilder.buildTokens(
      this.jCas,
      "The quick brown fox jumped over the lazy dog.",
      "The quick brown fox jumped over the lazy dog .",
      "DT JJ JJ NN VBD IN DT JJ NN .");
  Chunk chunk = new Chunk(this.jCas, 20, 31);
  chunk.addToIndexes();
  Assert.assertEquals("jumped over", chunk.getCoveredText());

  List<Feature> features = extractor.extract(this.jCas, chunk);
  Assert.assertEquals(10, features.size());
  Iterator<Feature> iter = features.iterator();
  this.assertFeature("2grams_Preceding_0_3", "quick_brown", iter.next());
  this.assertFeature("2grams_Preceding_0_3", "brown_fox", iter.next());
  this.assertFeature("2grams_Following_0_3", "the_lazy", iter.next());
  this.assertFeature("2grams_Following_0_3", "lazy_dog", iter.next());
  this.assertFeature("4grams_Preceding_0_3_Following_0_3", "quick_brown_fox_the", iter.next());
  this.assertFeature("4grams_Preceding_0_3_Following_0_3", "brown_fox_the_lazy", iter.next());
  this.assertFeature("4grams_Preceding_0_3_Following_0_3", "fox_the_lazy_dog", iter.next());
  this.assertFeature("3grams_Preceding_1_5", "OOB1_The_quick", iter.next());
  this.assertFeature("3grams_Preceding_1_5", "The_quick_brown", iter.next());
  this.assertFeature("2grams_Covered", "jumped_over", iter.next());
}
 

import org.cleartk.ml.feature.extractor.CleartkExtractor.Preceding; //导入依赖的package包/类
@Test
public void testFocus() throws Exception {
  CleartkExtractor<Token, Token> extractor = new CleartkExtractor<Token, Token>(
      Token.class,
      new CoveredTextExtractor<Token>(),
      new Focus(),
      new Bag(new Preceding(1), new Focus()),
      new Ngram(new Following(2), new Focus()));

  this.tokenBuilder.buildTokens(
      this.jCas,
      "The quick brown fox jumped over the lazy dog.",
      "The quick brown fox jumped over the lazy dog .",
      "DT JJ JJ NN VBD IN DT JJ NN .");
  Token jumped = JCasUtil.selectByIndex(this.jCas, Token.class, 4);
  Assert.assertEquals("jumped", jumped.getCoveredText());

  List<Feature> features = extractor.extract(this.jCas, jumped);
  Assert.assertEquals(4, features.size());
  Iterator<Feature> iter = features.iterator();
  this.assertFeature("Focus", "jumped", iter.next());
  this.assertFeature("Bag_Preceding_0_1_Focus", "fox", iter.next());
  this.assertFeature("Bag_Preceding_0_1_Focus", "jumped", iter.next());
  this.assertFeature("Ngram_Following_0_2_Focus", "over_the_jumped", iter.next());

  CleartkExtractor<Token, Chunk> chunkExtractor = new CleartkExtractor<Token, Chunk>(
      Chunk.class,
      new CoveredTextExtractor<Chunk>(),
      new Focus());
  try {
    chunkExtractor.extract(this.jCas, jumped);
    Assert.fail("Expected exception from Focus of wrong type");
  } catch (ClassCastException e) {
  }
}
 

import org.cleartk.ml.feature.extractor.CleartkExtractor.Preceding; //导入依赖的package包/类
@Test
public void testExtractBetween() throws Exception {
  CleartkExtractor<Chunk, Token> extractor = new CleartkExtractor<Chunk, Token>(
      Token.class,
      new CoveredTextExtractor<Token>(),
      new Bag(new Preceding(2)),
      new Covered(),
      new Ngram(new Following(3)));

  this.tokenBuilder.buildTokens(
      this.jCas,
      "She bought milk.\nHe sold oranges.",
      "She bought milk .\nHe sold oranges .");
  Chunk boughMilk = new Chunk(this.jCas, 4, 15);
  boughMilk.addToIndexes();
  Assert.assertEquals("bought milk", boughMilk.getCoveredText());
  Chunk soldOranges = new Chunk(this.jCas, 20, 32);
  soldOranges.addToIndexes();
  Assert.assertEquals("sold oranges", soldOranges.getCoveredText());

  List<Feature> features = extractor.extractBetween(this.jCas, boughMilk, soldOranges);
  Assert.assertEquals(5, features.size());
  Iterator<Feature> iter = features.iterator();
  this.assertFeature("Bag_Preceding_0_2", "bought", iter.next());
  this.assertFeature("Bag_Preceding_0_2", "milk", iter.next());
  this.assertFeature("Covered_0", ".", iter.next());
  this.assertFeature("Covered_1", "He", iter.next());
  this.assertFeature("Ngram_Following_0_3", "sold_oranges_.", iter.next());
}
 

import org.cleartk.ml.feature.extractor.CleartkExtractor.Preceding; //导入依赖的package包/类
@Test
public void testNestedNames() throws Exception {
  CleartkExtractor<Chunk, Token> extractor = new CleartkExtractor<Chunk, Token>(
      Token.class,
      new TypePathExtractor<Token>(Token.class, "pos"),
      new Count(new Preceding(1, 5), new Covered()),
      new Bag(new Preceding(3)),
      new Ngram(new Following(2)),
      new Ngrams(3, new Following(1, 6)));

  this.tokenBuilder.buildTokens(
      this.jCas,
      "The quick brown fox jumped over the lazy dog.",
      "The quick brown fox jumped over the lazy dog .",
      "DT JJ JJ NN VBD IN DT JJ NN .");
  Chunk chunk = new Chunk(this.jCas, 20, 31);
  chunk.addToIndexes();
  Assert.assertEquals("jumped over", chunk.getCoveredText());

  List<Feature> features = extractor.extract(this.jCas, chunk);
  Iterator<Feature> iter = features.iterator();
  this.assertFeature("Count_Preceding_1_5_Covered_TypePath(Pos)_OOB1", 1, iter.next());
  this.assertFeature("Count_Preceding_1_5_Covered_TypePath(Pos)_DT", 1, iter.next());
  this.assertFeature("Count_Preceding_1_5_Covered_TypePath(Pos)_JJ", 2, iter.next());
  this.assertFeature("Count_Preceding_1_5_Covered_TypePath(Pos)_VBD", 1, iter.next());
  this.assertFeature("Count_Preceding_1_5_Covered_TypePath(Pos)_IN", 1, iter.next());
  this.assertFeature("Bag_Preceding_0_3_TypePath(Pos)", "JJ", iter.next());
  this.assertFeature("Bag_Preceding_0_3_TypePath(Pos)", "JJ", iter.next());
  this.assertFeature("Bag_Preceding_0_3_TypePath(Pos)", "NN", iter.next());
  this.assertFeature("Ngram_Following_0_2_TypePath(Pos)", "DT_JJ", iter.next());
  this.assertFeature("3grams_Following_1_6_TypePath(Pos)", "JJ_NN_.", iter.next());
  this.assertFeature("3grams_Following_1_6_TypePath(Pos)", "NN_._OOB1", iter.next());
  this.assertFeature("3grams_Following_1_6_TypePath(Pos)", "._OOB1_OOB2", iter.next());
  Assert.assertFalse(iter.hasNext());
}