Class NLPNERTaggerOp

Supply OpenNLP Named Entity Resolution tool Requires binary models from OpenNLP project on SourceForge.

Usage: from the OpenNLP documentation:

"The NameFinderME class is not thread safe, it must only be called from one thread. To use multiple threads multiple NameFinderME instances sharing the same model instance can be created. The input text should be segmented into documents, sentences and tokens. To perform entity detection an application calls the find method for every sentence in the document. After every document clearAdaptiveData must be called to clear the adaptive data in the feature generators. Not calling clearAdaptiveData can lead to a sharp drop in the detection rate after a few documents."

Inheritance

object

NLPNERTaggerOp

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Namespace: Lucene.Net.Analysis.OpenNlp.Tools

Assembly: Lucene.Net.Analysis.OpenNLP.dll

Syntax

public class NLPNERTaggerOp

Constructors

NLPNERTaggerOp(TokenNameFinderModel)

Supply OpenNLP Named Entity Resolution tool Requires binary models from OpenNLP project on SourceForge.

Usage: from the OpenNLP documentation:

"The NameFinderME class is not thread safe, it must only be called from one thread. To use multiple threads multiple NameFinderME instances sharing the same model instance can be created. The input text should be segmented into documents, sentences and tokens. To perform entity detection an application calls the find method for every sentence in the document. After every document clearAdaptiveData must be called to clear the adaptive data in the feature generators. Not calling clearAdaptiveData can lead to a sharp drop in the detection rate after a few documents."

Declaration

public NLPNERTaggerOp(TokenNameFinderModel model)

Parameters

Type	Name	Description
TokenNameFinderModel	model

Methods

GetNames(string[])

Supply OpenNLP Named Entity Resolution tool Requires binary models from OpenNLP project on SourceForge.

Usage: from the OpenNLP documentation:

"The NameFinderME class is not thread safe, it must only be called from one thread. To use multiple threads multiple NameFinderME instances sharing the same model instance can be created. The input text should be segmented into documents, sentences and tokens. To perform entity detection an application calls the find method for every sentence in the document. After every document clearAdaptiveData must be called to clear the adaptive data in the feature generators. Not calling clearAdaptiveData can lead to a sharp drop in the detection rate after a few documents."

Declaration

public virtual Span[] GetNames(string[] words)

Parameters

Type	Name	Description
string[]	words

Returns

Type	Description
Span[]

Reset()

Supply OpenNLP Named Entity Resolution tool Requires binary models from OpenNLP project on SourceForge.

Usage: from the OpenNLP documentation:

"The NameFinderME class is not thread safe, it must only be called from one thread. To use multiple threads multiple NameFinderME instances sharing the same model instance can be created. The input text should be segmented into documents, sentences and tokens. To perform entity detection an application calls the find method for every sentence in the document. After every document clearAdaptiveData must be called to clear the adaptive data in the feature generators. Not calling clearAdaptiveData can lead to a sharp drop in the detection rate after a few documents."

Declaration

public virtual void Reset()