org.cogcomp.md

Class BIOTester

java.lang.Object

org.cogcomp.md.BIOTester

public class BIOTester
extends Object

This is for running testers and utilities.

Constructor Summary

Constructors

Constructor and Description
BIOTester()

Method Summary

Modifier and Type	Method and Description
static void	calculateAvgMentionLength() Calculates the average mention head size by type.
static Constituent	getConstituent(Constituent curToken, edu.illinois.cs.cogcomp.lbjava.classify.Classifier classifier, boolean isGold)
static String	getPath(String mode, String corpus, int fold) Returns the corpus data paths.
static String	inference(Constituent c, edu.illinois.cs.cogcomp.lbjava.classify.Classifier classifier)
static Pair<String,Integer>	joint_inference(Constituent t, edu.illinois.cs.cogcomp.lbjava.learn.Learner[] candidates)
static void	main(String[] args)
static <T> T	mostCommon(List<T> list) Extracts the most common predicted type in a given BILOU sequence.
static void	test_cv() Cross Validation tester
static void	test_ere() ERE corpus tester
static void	test_hybrid() Test the model trained on hybrid ACE/ERE and evaluated on hybrid ACE/ERE Produce results on separate types
static void	test_tac()
static void	test_ts() Test set tester
static bio_classifier_nam	train_nam_classifier(edu.illinois.cs.cogcomp.lbjava.parse.Parser train_parser)
static bio_classifier_nam	train_nam_classifier(edu.illinois.cs.cogcomp.lbjava.parse.Parser train_parser, String modelLoc) Trainer for the head named entity classifier.
static bio_classifier_nom	train_nom_classifier(edu.illinois.cs.cogcomp.lbjava.parse.Parser train_parser)
static bio_classifier_nom	train_nom_classifier(edu.illinois.cs.cogcomp.lbjava.parse.Parser train_parser, String modelLoc) Trainer for the head nominal classifier.
static bio_classifier_pro	train_pro_classifier(edu.illinois.cs.cogcomp.lbjava.parse.Parser train_parser)
static bio_classifier_pro	train_pro_classifier(edu.illinois.cs.cogcomp.lbjava.parse.Parser train_parser, String modelLoc) Trainer for the head pronoun classifier.
static void	TrainACEModel()
static void	TrainEREModel()
static void	TrainModel(String corpus)

Methods inherited from class java.lang.Object

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

Constructor Detail

BIOTester

public BIOTester()

Method Detail

getPath

public static String getPath(String mode,
                             String corpus,
                             int fold)

Returns the corpus data paths.

Parameters:

mode - "train/eval/all/dev"

corpus - "ACE/ERE"

fold - The fold index. Not used in mode "all/dev"

mostCommon

public static <T> T mostCommon(List<T> list)

Extracts the most common predicted type in a given BILOU sequence.

train_nam_classifier

public static bio_classifier_nam train_nam_classifier(edu.illinois.cs.cogcomp.lbjava.parse.Parser train_parser,
                                                      String modelLoc)

Trainer for the head named entity classifier.

Parameters:

train_parser - The parser containing all training examples

modelLoc - The expected model file destination. Support null.

train_nam_classifier

public static bio_classifier_nam train_nam_classifier(edu.illinois.cs.cogcomp.lbjava.parse.Parser train_parser)

train_nom_classifier

public static bio_classifier_nom train_nom_classifier(edu.illinois.cs.cogcomp.lbjava.parse.Parser train_parser,
                                                      String modelLoc)

Trainer for the head nominal classifier.

Parameters:

train_parser - The parser containing all training examples

modelLoc - The expected model file destination. Support null.

train_nom_classifier

public static bio_classifier_nom train_nom_classifier(edu.illinois.cs.cogcomp.lbjava.parse.Parser train_parser)

train_pro_classifier

public static bio_classifier_pro train_pro_classifier(edu.illinois.cs.cogcomp.lbjava.parse.Parser train_parser,
                                                      String modelLoc)

Trainer for the head pronoun classifier.

Parameters:

train_parser - The parser containing all training examples

modelLoc - The expected model file destination. Support null.

train_pro_classifier

public static bio_classifier_pro train_pro_classifier(edu.illinois.cs.cogcomp.lbjava.parse.Parser train_parser)

joint_inference

public static Pair<String,Integer> joint_inference(Constituent t,
                                                   edu.illinois.cs.cogcomp.lbjava.learn.Learner[] candidates)

Parameters:

t - The target Consitutent

candidates - The learner array containing 3 Learners. candidates[0] : NAM candidates[1] : NOM candidates[2] : PRO

Returns:

a pair of a String and a Integer. The String: The result of the joint inferencing The Integer: The index of the selected learner in candidates

inference

public static String inference(Constituent c,
                               edu.illinois.cs.cogcomp.lbjava.classify.Classifier classifier)

getConstituent

public static Constituent getConstituent(Constituent curToken,
                                         edu.illinois.cs.cogcomp.lbjava.classify.Classifier classifier,
                                         boolean isGold)

Parameters:

curToken - The token of the start of a mention (either gold/predicted)

classifier - The selected classifier from joint_inference

isGold - Indicates if getting the gold mention or not

Returns:

A constituent of the entire mention head. The size may be larger than 1.

test_cv

public static void test_cv()

Cross Validation tester

test_ts

public static void test_ts()

Test set tester

test_ere

public static void test_ere()

ERE corpus tester

test_tac

public static void test_tac()

calculateAvgMentionLength

public static void calculateAvgMentionLength()

Calculates the average mention head size by type. Research purposes only

test_hybrid

public static void test_hybrid()

Test the model trained on hybrid ACE/ERE and evaluated on hybrid ACE/ERE Produce results on separate types

TrainModel

public static void TrainModel(String corpus)

TrainACEModel

public static void TrainACEModel()

TrainEREModel

public static void TrainEREModel()

main

public static void main(String[] args)