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The name predictor stage uses OpenNLP's NameFinder to load Name Entity Recognizer models and tag tokens that match entities based on the model given a certain threshold of accuracy.

This is a plugin recognizer. Uses Name Predictor Stage

Configuration

  • Model ( type=string | default=--LATEST-- | required ) - Model to use for recognition, by default it always uses the latest, but can be configure to use one in specific
  • Minimum Probability ( type=double | default=.7 | required ) - Probability threshold. Will only tag names that match better or equal to the value specified.
  • Normalize Tags ( type=string array | optional ) - Indicates which tags must be first recognized in order to do the recognition and training
    • This helps to reduce the noise in the text, for example reducing every set of numbers to {number}

Training a Model

Click on the  button to open the "Start Training Run" dialog

  • Datasets ( type=boolean | required ) - Select the Dataset to use as training data
  • Iterations ( type=integer | default=200 | required )
  • Cut Off ( type=integer | default=5 | required )
  • Threads ( type=integer | default=2 | required )
  • Error Threshold ( type=integer | default=10 | required ) - Indicates the percentage of failed files during the training of the model
  • Algorithm ( type=string | default=MAXENT_QN | optional )
    • Available algorithms

      • MAXENT_QN

      • MAXENT

      • NAIVEBAYES

      • PERCEPTRON

  • LLThreshold ( type=double | default=0.00001 | optional )
  • Smoothing ( type=boolean | default=false | optional )
  • Smoothing Observation ( type=double | default=0.00001 | optional )
  • Gaussian Smoothing ( type=boolean | default=false | optional )
  • Gaussian Smoothing Sigma ( type=integer | default=2 | optional )

General Settings

The general settings can be accessed by clicking on 

More settings could be displayed in the same dialog, it varies per recognizer.


  • Enable - Enable the processor to be use in pipelines.
  • Base Pipeline - Indicates the last stage, from a pipeline, needed by the recognizer.
  • Skip Flags ( optional ) - Lexical items flags to be ignored by this processor.
  • Boundary Flags  ( optional ) - List of vertex flags that indicate the beginning and end of a text block.
  • Required Flags ( optional ) - Lexical items flags required by every token to be processed.
  • At Least One Flag ( optional ) - Lexical items flags needed by every token to be processed.
  • Don't Process Flags ( optional ) - List of lexical items flags that are not processed. The difference with "Skip Flags" is that this will drop the path in the Saga graph, skip just skips the token and continues in the same path.
  • Confidence Adjustment - Adjustment factor to apply to the confidence value of 0.0 to 2.0 from (Applies for every match).
    • 0.0 to < 1.0  decreases confidence value
    • 1.0 confidence value remains the same
    • > 1.0 to  2.0 increases confidence value
  • Debug - Enable debug logging.

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