ai.tock.nlp.core

Class DictionaryData

ai.tock.nlp.core.DictionaryData

public class DictionaryData

A dictionary model used for predefined values entities.

Constructor Detail

DictionaryData

public DictionaryData(@NotNull
                      java.lang.String namespace,
                      @NotNull
                      java.lang.String entityName,
                      @NotNull
                      java.util.List<ai.tock.nlp.core.PredefinedValue> values,
                      boolean onlyValues,
                      double minDistance,
                      boolean textSearch)

A dictionary model used for predefined values entities.

Parameters:

namespace - The namespace of the entity.

entityName - The name of the entity.

values - The values of the dictionary.

onlyValues - Are only defined labels allowed or can we try to use Damerau-Levenshtein distance ?

minDistance - The minimum distance to be allowed.

textSearch - If the text is contained by at least one label, the value is eligible.

Method Detail

getLabelsMap

@NotNull
public java.util.Map<ai.tock.nlp.core.PredefinedValue,java.util.List> getLabelsMap(@NotNull
                                                                                            java.util.Locale locale)

Returns a class PredefinedValue -> list of labels map for the specified locale.

See Also:

class PredefinedValue, locale

getQualifiedName

@NotNull
public java.lang.String getQualifiedName()

getNamespace

@NotNull
public java.lang.String getNamespace()

The namespace of the entity.

getEntityName

@NotNull
public java.lang.String getEntityName()

The name of the entity.

getValues

@NotNull
public java.util.List<ai.tock.nlp.core.PredefinedValue> getValues()

The values of the dictionary.

getOnlyValues

public boolean getOnlyValues()

Are only defined labels allowed or can we try to use Damerau-Levenshtein distance

?

getMinDistance

public double getMinDistance()

The minimum distance to be allowed.

getTextSearch

public boolean getTextSearch()

If the text is contained by at least one label,

the value is eligible.

component1

@NotNull
public java.lang.String component1()

The namespace of the entity.

component2

@NotNull
public java.lang.String component2()

The name of the entity.

component3

@NotNull
public java.util.List<ai.tock.nlp.core.PredefinedValue> component3()

The values of the dictionary.

component4

public boolean component4()

Are only defined labels allowed or can we try to use Damerau-Levenshtein distance

?

component5

public double component5()

The minimum distance to be allowed.

component6

public boolean component6()

If the text is contained by at least one label,

the value is eligible.

copy

@NotNull
public DictionaryData copy(@NotNull
                                    java.lang.String namespace,
                                    @NotNull
                                    java.lang.String entityName,
                                    @NotNull
                                    java.util.List<ai.tock.nlp.core.PredefinedValue> values,
                                    boolean onlyValues,
                                    double minDistance,
                                    boolean textSearch)

A dictionary model used for predefined values entities.

toString

@NotNull
public java.lang.String toString()

A dictionary model used for predefined values entities.

hashCode

public int hashCode()

A dictionary model used for predefined values entities.

equals

public boolean equals(@Nullable
                      java.lang.Object p)

A dictionary model used for predefined values entities.