ai.tock.nlp.core

Class DictionaryData

ai.tock.nlp.core.DictionaryData

public class DictionaryData

A dictionary model used for predefined values entities.

Constructor Summary

Constructors

Constructor and Description
DictionaryData(java.lang.String namespace, java.lang.String entityName, java.util.List<ai.tock.nlp.core.PredefinedValue> values, boolean onlyValues, double minDistance, boolean textSearch) A dictionary model used for predefined values entities.

Method Summary

Modifier and Type	Method and Description
java.lang.String	component1() The namespace of the entity.
java.lang.String	component2() The name of the entity.
java.util.List<ai.tock.nlp.core.PredefinedValue>	component3() The values of the dictionary.
boolean	component4() Are only defined labels allowed or can we try to use Damerau-Levenshtein distance
double	component5() The minimum distance to be allowed.
boolean	component6() If the text is contained by at least one label,
DictionaryData	copy(java.lang.String namespace, java.lang.String entityName, java.util.List<ai.tock.nlp.core.PredefinedValue> values, boolean onlyValues, double minDistance, boolean textSearch) A dictionary model used for predefined values entities.
boolean	equals(java.lang.Object p)
java.lang.String	getEntityName() The name of the entity.
java.util.Map<ai.tock.nlp.core.PredefinedValue,java.util.List>	getLabelsMap(java.util.Locale locale) Returns a class PredefinedValue -> list of labels map for the specified locale.
double	getMinDistance() The minimum distance to be allowed.
java.lang.String	getNamespace() The namespace of the entity.
boolean	getOnlyValues() Are only defined labels allowed or can we try to use Damerau-Levenshtein distance
java.lang.String	getQualifiedName()
boolean	getTextSearch() If the text is contained by at least one label,
java.util.List<ai.tock.nlp.core.PredefinedValue>	getValues() The values of the dictionary.
int	hashCode()
java.lang.String	toString()

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()

hashCode

public int hashCode()

equals

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