edu.stanford.nlp.ie

Class KBPEnsembleExtractor

java.lang.Object

edu.stanford.nlp.ie.KBPEnsembleExtractor

All Implemented Interfaces:

KBPRelationExtractor

public class KBPEnsembleExtractor
extends java.lang.Object
implements KBPRelationExtractor

An ensemble of other KBP relation extractors. Currently, this class just takes the union of the given extractors. That is, it returns the first relation returned by any extractor (ties broken by the order the extractors are passed to the constructor), and only returns no_relation if no extractor proposed a relation.

Nested Class Summary

Nested classes/interfaces inherited from interface edu.stanford.nlp.ie.KBPRelationExtractor

KBPRelationExtractor.Accuracy, KBPRelationExtractor.KBPInput, KBPRelationExtractor.NERTag, KBPRelationExtractor.RelationType

Field Summary

Fields

Modifier and Type	Field and Description
KBPRelationExtractor[]	extractors The extractors to run, in the order of priority they should be run in.
protected static Redwood.RedwoodChannels	logger
static java.util.Optional<java.lang.String>	PREDICTIONS
static java.io.File	TEST_FILE

Fields inherited from interface edu.stanford.nlp.ie.KBPRelationExtractor

NO_RELATION

Constructor Summary

Constructors

Constructor and Description
KBPEnsembleExtractor(KBPRelationExtractor... extractors) Creates a new ensemble extractor from the given argument extractors.

Method Summary

Modifier and Type	Method and Description
Pair<java.lang.String,java.lang.Double>	classify(KBPRelationExtractor.KBPInput input) Classify the given sentence into the relation it expresses, with the associated confidence.
static void	main(java.lang.String[] args)

Methods inherited from class java.lang.Object

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

Methods inherited from interface edu.stanford.nlp.ie.KBPRelationExtractor

computeAccuracy, readDataset

Field Detail

logger

protected static final Redwood.RedwoodChannels logger

PREDICTIONS

@ArgumentParser.Option(name="predictions",
                       gloss="Dump model predictions to this file")
public static java.util.Optional<java.lang.String> PREDICTIONS

TEST_FILE

@ArgumentParser.Option(name="test",
                       gloss="The dataset to test on")
public static java.io.File TEST_FILE

extractors

public final KBPRelationExtractor[] extractors

The extractors to run, in the order of priority they should be run in.

Constructor Detail

KBPEnsembleExtractor

public KBPEnsembleExtractor(KBPRelationExtractor... extractors)

Creates a new ensemble extractor from the given argument extractors.

Parameters:

extractors - A varargs list of extractors to union together.

Method Detail

classify

public Pair<java.lang.String,java.lang.Double> classify(KBPRelationExtractor.KBPInput input)

Description copied from interface: KBPRelationExtractor

Classify the given sentence into the relation it expresses, with the associated confidence.

Specified by:

classify in interface KBPRelationExtractor

main

public static void main(java.lang.String[] args)
                 throws java.io.IOException,
                        java.lang.ClassNotFoundException

Throws:

java.io.IOException

java.lang.ClassNotFoundException