moj.ri.weighting
Class ConstantWS

java.lang.Object
  moj.ri.weighting.WeightingScheme
      moj.ri.weighting.ConstantWS

All Implemented Interfaces:

java.io.Serializable

public class ConstantWS
extends WeightingScheme

Using a constant weight makes the weighting word order independent.

Version:

2006-Sep-21

Author:

Martin Hassel

See Also:

Serialized Form

Constructor Summary

ConstantWS()

Method Summary

float[]	applyLeftWeighting(RandomLabel focusLabel, int distance, RandomLabel leftContextLabel) Using a constant weight makes the weighting word order independent.
float[]	applyRightWeighting(RandomLabel focusLabel, int distance, RandomLabel rightContextLabel) Using a constant weight makes the weighting word order independent.

Methods inherited from class moj.ri.weighting.WeightingScheme

setIndex

Methods inherited from class java.lang.Object

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

Constructor Detail

ConstantWS

public ConstantWS()

Method Detail

applyLeftWeighting

public float[] applyLeftWeighting(RandomLabel focusLabel,
                                  int distance,
                                  RandomLabel leftContextLabel)

Using a constant weight makes the weighting word order independent.

Specified by:

applyLeftWeighting in class WeightingScheme

Parameters:

focusLabel - RandomLabel in focus, i.e. the focus word whose context vector should be modified with the weighted RandomLabel in left context.

distance - leftward distance to the focus word (RandomLabel).

leftContextLabel - RandomLabel in left context at distance from the focus word, which can be used together with distance to calculate the weight.

Returns:

the context of the focus word modified according to the weighting scheme.

applyRightWeighting

public float[] applyRightWeighting(RandomLabel focusLabel,
                                   int distance,
                                   RandomLabel rightContextLabel)

Using a constant weight makes the weighting word order independent.

Specified by:

applyRightWeighting in class WeightingScheme

Parameters:

focusLabel - RandomLabel in focus, i.e. the focus word whose context vector should be modified with the weighted RandomLabel in right context.

distance - rightward distance to the focus word (RandomLabel).

rightContextLabel - RandomLabel in right context at distance from the focus word, which can be used together with distance to calculate the weight.

Returns:

the context of the focus word modified according to the weighting scheme.