Class WindowFeatureGenerator

  • All Implemented Interfaces:
    AdaptiveFeatureGenerator

    public class WindowFeatureGenerator
    extends java.lang.Object
    implements AdaptiveFeatureGenerator
    Generates previous and next features for a given AdaptiveFeatureGenerator. The window size can be specified. Features: Current token is always included unchanged Previous tokens are prefixed with p distance Next tokens are prefix with n distance
    • Field Summary

      Fields 
      Modifier and Type Field Description
      static java.lang.String NEXT_PREFIX  
      static java.lang.String PREV_PREFIX  
    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      void clearAdaptiveData()
      Informs the feature generator that the context of the adaptive data (typically a document) is no longer valid.
      void createFeatures​(java.util.List<java.lang.String> features, java.lang.String[] tokens, int index, java.lang.String[] preds)
      Adds the appropriate features for the token at the specified index with the specified array of previous outcomes to the specified list of features.
      java.lang.String toString()  
      void updateAdaptiveData​(java.lang.String[] tokens, java.lang.String[] outcomes)
      Informs the feature generator that the specified tokens have been classified with the corresponding set of specified outcomes.
      • Methods inherited from class java.lang.Object

        equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
    • Constructor Detail

      • WindowFeatureGenerator

        public WindowFeatureGenerator​(AdaptiveFeatureGenerator generator,
                                      int prevWindowSize,
                                      int nextWindowSize)
        Initializes the current instance with the given parameters.
        Parameters:
        generator - Feature generator to apply to the window.
        prevWindowSize - Size of the window to the left of the current token.
        nextWindowSize - Size of the window to the right of the current token.
      • WindowFeatureGenerator

        public WindowFeatureGenerator​(int prevWindowSize,
                                      int nextWindowSize,
                                      AdaptiveFeatureGenerator... generators)
        Initializes the current instance with the given parameters.
        Parameters:
        prevWindowSize -
        nextWindowSize -
        generators -
      • WindowFeatureGenerator

        public WindowFeatureGenerator​(AdaptiveFeatureGenerator generator)
        Initializes the current instance. The previous and next window size is 5.
        Parameters:
        generator - feature generator
      • WindowFeatureGenerator

        public WindowFeatureGenerator​(AdaptiveFeatureGenerator... generators)
        Initializes the current instance with the given parameters.
        Parameters:
        generators - array of feature generators
    • Method Detail

      • createFeatures

        public void createFeatures​(java.util.List<java.lang.String> features,
                                   java.lang.String[] tokens,
                                   int index,
                                   java.lang.String[] preds)
        Description copied from interface: AdaptiveFeatureGenerator
        Adds the appropriate features for the token at the specified index with the specified array of previous outcomes to the specified list of features.
        Specified by:
        createFeatures in interface AdaptiveFeatureGenerator
        Parameters:
        features - The list of features to be added to.
        tokens - The tokens of the sentence or other text unit being processed.
        index - The index of the token which is currently being processed.
        preds - The outcomes for the tokens prior to the specified index.
      • updateAdaptiveData

        public void updateAdaptiveData​(java.lang.String[] tokens,
                                       java.lang.String[] outcomes)
        Description copied from interface: AdaptiveFeatureGenerator
        Informs the feature generator that the specified tokens have been classified with the corresponding set of specified outcomes.
        Specified by:
        updateAdaptiveData in interface AdaptiveFeatureGenerator
        Parameters:
        tokens - The tokens of the sentence or other text unit which has been processed.
        outcomes - The outcomes associated with the specified tokens.
      • toString

        public java.lang.String toString()
        Overrides:
        toString in class java.lang.Object