A B C D E F G H I J K L M N O P Q R S T V W X

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NEGATIVE_LABEL - Static variable in class edu.columbia.cs.ref.model.re.impl.WekaClassifierModel

NoConstraint - Class in edu.columbia.cs.ref.model.constraint.role.impl

The Class NoConstraint is an implementation of the RoleConstraint that is actually a dummy check.

NoConstraint() - Constructor for class edu.columbia.cs.ref.model.constraint.role.impl.NoConstraint

Node<T> - Class in edu.columbia.cs.utils

Represents a node of the Tree class.

Node() - Constructor for class edu.columbia.cs.utils.Node

Default ctor.

Node(Node<T>, T) - Constructor for class edu.columbia.cs.utils.Node

Convenience ctor to create a Node with an instance of T.

NONE - Static variable in class edu.columbia.cs.ref.tool.loader.document.impl.ace2005.resources.EntityPair.Labels

normalizeFeatures() - Method in class edu.columbia.cs.ref.model.core.structure.impl.TaggedSequence

normalizePaths() - Method in class edu.columbia.cs.utils.DependencyGraph

normKernel(TaggedBagOfNgrams, TaggedBagOfNgrams) - Method in class edu.columbia.cs.ref.model.core.impl.BagOfNGramsKernel

Computes the normalized string kernel between two strings.

normKernel(TaggedGraph, TaggedGraph) - Method in class edu.columbia.cs.ref.model.core.impl.DependencyGraphsKernel

normKernel(DependencyGraph, DependencyGraph) - Method in class edu.columbia.cs.ref.model.core.impl.LocalizedDependencyGraphsKernel

normKernel(TaggedGraph, TaggedGraph) - Method in class edu.columbia.cs.ref.model.core.impl.ShortestPathKernel

normKernel(TaggedSequence, TaggedSequence) - Method in class edu.columbia.cs.ref.model.core.impl.SubsequencesKernel

NOT_A_RELATIONSHIP - Static variable in class edu.columbia.cs.ref.model.relationship.RelationshipType

The Constant NOT_A_RELATIONSHIP.

NULL_ENTITY - Static variable in class edu.columbia.cs.ref.model.entity.Entity

The Constant NULL_ENTITY.

NumberOfExpectedPositiveAnswers - Class in edu.columbia.cs.ref.algorithm.evaluation.measure.impl

The Class NumberOfExpectedPositiveAnswers counts the number of positive answers in the golden labels of the testing data.

NumberOfExpectedPositiveAnswers() - Constructor for class edu.columbia.cs.ref.algorithm.evaluation.measure.impl.NumberOfExpectedPositiveAnswers

NumberOfIterationsConvergence - Class in edu.columbia.cs.cg.prdualrank.inference.convergence.impl

This class is used for our implementation of: "Searching Patterns for Relation Extraction over the Web: Rediscovering the Pattern-Relation Duality" .

NumberOfIterationsConvergence(int) - Constructor for class edu.columbia.cs.cg.prdualrank.inference.convergence.impl.NumberOfIterationsConvergence

Creates a new instance of the NumberOfIterationsConvergence class.

NumberOfPositiveAnswers - Class in edu.columbia.cs.ref.algorithm.evaluation.measure.impl

The Class NumberOfPositiveAnswers counts the number of positive answers returned by the model for the testing data.

NumberOfPositiveAnswers() - Constructor for class edu.columbia.cs.ref.algorithm.evaluation.measure.impl.NumberOfPositiveAnswers

NumberOfTruePositives - Class in edu.columbia.cs.ref.algorithm.evaluation.measure.impl

The Class NumberOfTruePositives counts the number of positive answers produced by the model that are consistent with the values in the gold labels of the testing data.

NumberOfTruePositives() - Constructor for class edu.columbia.cs.ref.algorithm.evaluation.measure.impl.NumberOfTruePositives