edu.stanford.nlp.ie.machinereading

Class ExtractorMerger

java.lang.Object

edu.stanford.nlp.ie.machinereading.ExtractorMerger

All Implemented Interfaces:

Extractor, java.io.Serializable

public class ExtractorMerger
extends java.lang.Object
implements Extractor

Simple extractor which combines several other Extractors. Currently only works with RelationMentions. Also note that this implementation uses Sets and will mangle the original order of RelationMentions.

Author:

David McClosky

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
ExtractorMerger(Extractor[] extractors)

Method Summary

Modifier and Type	Method and Description
void	annotate(Annotation dataset) Annotates the given dataset with the current model This works in place, i.e., it adds ExtractionObject objects to the sentences in the dataset To make sure you are not messing with gold annotation create a copy of the ExtractionDataSet first!
static Extractor	buildRelationExtractorMerger(java.lang.String[] extractorModelNames)
void	save(java.lang.String path) Serializes this extractor to a file
void	setLoggerLevel(java.util.logging.Level level)
void	train(Annotation dataset) Trains one extractor model using the given dataset

Methods inherited from class java.lang.Object

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

Constructor Detail

ExtractorMerger

public ExtractorMerger(Extractor[] extractors)

Method Detail

annotate

public void annotate(Annotation dataset)

Description copied from interface: Extractor

Annotates the given dataset with the current model This works in place, i.e., it adds ExtractionObject objects to the sentences in the dataset To make sure you are not messing with gold annotation create a copy of the ExtractionDataSet first!

Specified by:

annotate in interface Extractor

Parameters:

dataset - dataset to annotate

buildRelationExtractorMerger

public static Extractor buildRelationExtractorMerger(java.lang.String[] extractorModelNames)

setLoggerLevel

public void setLoggerLevel(java.util.logging.Level level)

Specified by:

setLoggerLevel in interface Extractor

save

public void save(java.lang.String path)
          throws java.io.IOException

Description copied from interface: Extractor

Serializes this extractor to a file

Specified by:

save in interface Extractor

Parameters:

path - where to save the extractor

Throws:

java.io.IOException

train

public void train(Annotation dataset)

Description copied from interface: Extractor

Trains one extractor model using the given dataset

Specified by:

train in interface Extractor

Parameters:

dataset - dataset to train from (this should already have annotations and will typically be created by a reader)