edu.umass.cs.mallet.projects.seg_plus_coref.condclust.tui

Class PairwiseClustererTUI

java.lang.Object

edu.umass.cs.mallet.projects.seg_plus_coref.condclust.tui.PairwiseClustererTUI

public class PairwiseClustererTUI
extends Object

Interface to train and test a PairwiseClusterer. Uses Citeseer data. Note - to port this to Rexa, I had to bring over a few lib dependencies (secondstring, jgraph, old version of jdom, mallet-deps...)

Constructor Summary

Constructors

Constructor and Description
PairwiseClustererTUI()

Method Summary

Modifier and Type	Method and Description
ArrayList[]	createNodesFromFiles(String[] dirNames, IEInterface ieInterface, String type) Read citation files and create nodes
Pipe	getPaperPipe(ArrayList nodes)
Pipe	getPipe(Classifier pairwiseClassifier) Create pipe for conditionalClusterer
IEInterface	loadIEInterface() if useCRF==true, load the CRF and create a IEInterface object to be used during coref
static void	main(String[] args)
static void	run(String[] args)
Classifier	trainPairwiseClassifier(ArrayList[] nodes, Pipe p)

Methods inherited from class java.lang.Object

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

Constructor Detail

PairwiseClustererTUI

public PairwiseClustererTUI()

Method Detail

main

public static void main(String[] args)

run

public static void run(String[] args)

trainPairwiseClassifier

public Classifier trainPairwiseClassifier(ArrayList[] nodes,
                                          Pipe p)

getPaperPipe

public Pipe getPaperPipe(ArrayList nodes)

getPipe

public Pipe getPipe(Classifier pairwiseClassifier)

Create pipe for conditionalClusterer

loadIEInterface

public IEInterface loadIEInterface()

if useCRF==true, load the CRF and create a IEInterface object to be used during coref

createNodesFromFiles

public ArrayList[] createNodesFromFiles(String[] dirNames,
                                        IEInterface ieInterface,
                                        String type)

Read citation files and create nodes