Package opennlp.tools.namefind
Klasse NameSample
java.lang.Object
opennlp.tools.namefind.NameSample
- Alle implementierten Schnittstellen:
Serializable
,Sample
Encapsulates names for a single unit of text.
- Siehe auch:
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Feldübersicht
FelderModifizierer und TypFeldBeschreibungstatic final String
The default type value when there is no type in training data. -
Konstruktorübersicht
KonstruktorenKonstruktorBeschreibungNameSample
(String[] sentence, Span[] names, boolean clearAdaptiveData) Initializes aNameSample
instance with given parameters.NameSample
(String[] sentence, Span[] names, String[][] additionalContext, boolean clearAdaptiveData) Initializes aNameSample
instance with given parameters.NameSample
(String id, String[] sentence, Span[] names, String[][] additionalContext, boolean clearAdaptiveData) Initializes aNameSample
instance with given parameters. -
Methodenübersicht
Modifizierer und TypMethodeBeschreibungboolean
String[][]
getId()
Span[]
getNames()
String[]
int
hashCode()
boolean
static NameSample
Parses given input into aNameSample
.static NameSample
Parses given input into aNameSample
.toString()
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Felddetails
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DEFAULT_TYPE
The default type value when there is no type in training data.- Siehe auch:
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Konstruktordetails
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NameSample
public NameSample(String id, String[] sentence, Span[] names, String[][] additionalContext, boolean clearAdaptiveData) Initializes aNameSample
instance with given parameters.- Parameter:
id
- The identifier to use.sentence
- The tokens representing a training sentence. Must not benull
.names
- Thenames
to use.additionalContext
- Additional context in a 2-dimensional array.clearAdaptiveData
- Iftrue
the adaptive data of the feature generators is cleared.- Löst aus:
RuntimeException
- Thrown if name spans are overlapping.
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NameSample
public NameSample(String[] sentence, Span[] names, String[][] additionalContext, boolean clearAdaptiveData) Initializes aNameSample
instance with given parameters.- Parameter:
sentence
- The tokens representing a sentence. Must not benull
.names
- Thenames
to use.additionalContext
- Additional context in a 2-dimensional array.clearAdaptiveData
- Iftrue
the adaptive data of the feature generators is cleared.- Löst aus:
RuntimeException
- Thrown if name spans are overlapping.
-
NameSample
Initializes aNameSample
instance with given parameters.- Parameter:
sentence
- The tokens representing a sentence. Must not benull
.names
- Thenames
to use.clearAdaptiveData
- Iftrue
the adaptive data of the feature generators is cleared.- Löst aus:
RuntimeException
- Thrown if name spans are overlapping.
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Methodendetails
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getId
- Gibt zurück:
- Retrieves the current identifier. May be
null
.
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getSentence
- Gibt zurück:
- Retrieves the sentence in tokenized form.
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getNames
- Gibt zurück:
- Retrieves the
names
.
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getAdditionalContext
- Gibt zurück:
- Retrieves additional context. May be
null
.
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isClearAdaptiveDataSet
public boolean isClearAdaptiveDataSet()- Gibt zurück:
true
if the adaptive data of the feature generators are cleared,false
otherwise.
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hashCode
public int hashCode() -
equals
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toString
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parse
Parses given input into aNameSample
.- Parameter:
taggedTokens
- The input data to parse.clearAdaptiveData
-true
if the adaptive data of the feature generators should be cleared,false
otherwise.- Gibt zurück:
- A
NameSample
instance resulting from the parsing. - Löst aus:
IOException
- Thrown if IO errors occurred during parsing.
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parse
public static NameSample parse(String taggedTokens, String defaultType, boolean clearAdaptiveData) throws IOException Parses given input into aNameSample
.- Parameter:
taggedTokens
- The input data to parse.defaultType
- The type to set by default.clearAdaptiveData
-true
if the adaptive data of the feature generators should be cleared,false
otherwise.- Gibt zurück:
- A
NameSample
instance resulting from the parsing. - Löst aus:
IOException
- Thrown if IO errors occurred during parsing.
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