Confidence prediction in Stanford NER

-2

Confidence level to sequence prediction in Stanford NER Tagger. It's possible? Confidence for a given predicted sequence.

edited Nov 23 '18 at 3:56

asked Nov 23 '18 at 3:31

Ubuntu

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-2

Confidence level to sequence prediction in Stanford NER Tagger. It's possible? Confidence for a given predicted sequence.

edited Nov 23 '18 at 3:56

asked Nov 23 '18 at 3:31

Ubuntu

add a comment |

-2

Confidence level to sequence prediction in Stanford NER Tagger. It's possible? Confidence for a given predicted sequence.

edited Nov 23 '18 at 3:56

asked Nov 23 '18 at 3:31

Ubuntu

Confidence level to sequence prediction in Stanford NER Tagger. It's possible? Confidence for a given predicted sequence.

nlp stanford-nlp named-entity-recognition

edited Nov 23 '18 at 3:56

asked Nov 23 '18 at 3:31

Ubuntu

edited Nov 23 '18 at 3:56

asked Nov 23 '18 at 3:31

Ubuntu

edited Nov 23 '18 at 3:56

asked Nov 23 '18 at 3:31

Ubuntu

asked Nov 23 '18 at 3:31

Ubuntu

asked Nov 23 '18 at 3:31

Ubuntu

add a comment |

1 Answer
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Here is some code that can print out the k (in the example 10) most likely sequences, and will print out the sequence probability.

import edu.stanford.nlp.ie.AbstractSequenceClassifier;

import edu.stanford.nlp.ie.crf.*;

import edu.stanford.nlp.io.IOUtils;

import edu.stanford.nlp.ling.CoreLabel;

import edu.stanford.nlp.ling.CoreAnnotations;

import edu.stanford.nlp.sequences.DocumentReaderAndWriter;

import edu.stanford.nlp.util.Triple;



import java.io.*;

import java.util.List;





public class GetCRFProbsDemo {



    public static void main(String args)  throws ClassNotFoundException, IOException {

        String serializedClassifier = "edu/stanford/nlp/models/ner/english.all.3class.distsim.crf.ser.gz";

        AbstractSequenceClassifier<CoreLabel> classifier = CRFClassifier.getClassifier(serializedClassifier);

        System.out.println("---");

        System.out.println("Ten best entity labelings");

        DocumentReaderAndWriter<CoreLabel> readerAndWriter = classifier.makePlainTextReaderAndWriter();

        classifier.classifyAndWriteAnswersKBest(args[0], 10, readerAndWriter);

    }



}

answered Nov 24 '18 at 5:34

StanfordNLPHelp

6,761159

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1 Answer
1

active

oldest

votes

1 Answer
1

active

oldest

votes

Here is some code that can print out the k (in the example 10) most likely sequences, and will print out the sequence probability.

import edu.stanford.nlp.ie.AbstractSequenceClassifier;

import edu.stanford.nlp.ie.crf.*;

import edu.stanford.nlp.io.IOUtils;

import edu.stanford.nlp.ling.CoreLabel;

import edu.stanford.nlp.ling.CoreAnnotations;

import edu.stanford.nlp.sequences.DocumentReaderAndWriter;

import edu.stanford.nlp.util.Triple;



import java.io.*;

import java.util.List;





public class GetCRFProbsDemo {



    public static void main(String args)  throws ClassNotFoundException, IOException {

        String serializedClassifier = "edu/stanford/nlp/models/ner/english.all.3class.distsim.crf.ser.gz";

        AbstractSequenceClassifier<CoreLabel> classifier = CRFClassifier.getClassifier(serializedClassifier);

        System.out.println("---");

        System.out.println("Ten best entity labelings");

        DocumentReaderAndWriter<CoreLabel> readerAndWriter = classifier.makePlainTextReaderAndWriter();

        classifier.classifyAndWriteAnswersKBest(args[0], 10, readerAndWriter);

    }



}

answered Nov 24 '18 at 5:34

StanfordNLPHelp

6,761159

add a comment |

Here is some code that can print out the k (in the example 10) most likely sequences, and will print out the sequence probability.

import edu.stanford.nlp.ie.AbstractSequenceClassifier;

import edu.stanford.nlp.ie.crf.*;

import edu.stanford.nlp.io.IOUtils;

import edu.stanford.nlp.ling.CoreLabel;

import edu.stanford.nlp.ling.CoreAnnotations;

import edu.stanford.nlp.sequences.DocumentReaderAndWriter;

import edu.stanford.nlp.util.Triple;



import java.io.*;

import java.util.List;





public class GetCRFProbsDemo {



    public static void main(String args)  throws ClassNotFoundException, IOException {

        String serializedClassifier = "edu/stanford/nlp/models/ner/english.all.3class.distsim.crf.ser.gz";

        AbstractSequenceClassifier<CoreLabel> classifier = CRFClassifier.getClassifier(serializedClassifier);

        System.out.println("---");

        System.out.println("Ten best entity labelings");

        DocumentReaderAndWriter<CoreLabel> readerAndWriter = classifier.makePlainTextReaderAndWriter();

        classifier.classifyAndWriteAnswersKBest(args[0], 10, readerAndWriter);

    }



}

answered Nov 24 '18 at 5:34

StanfordNLPHelp

6,761159

add a comment |

Here is some code that can print out the k (in the example 10) most likely sequences, and will print out the sequence probability.

import edu.stanford.nlp.ie.AbstractSequenceClassifier;

import edu.stanford.nlp.ie.crf.*;

import edu.stanford.nlp.io.IOUtils;

import edu.stanford.nlp.ling.CoreLabel;

import edu.stanford.nlp.ling.CoreAnnotations;

import edu.stanford.nlp.sequences.DocumentReaderAndWriter;

import edu.stanford.nlp.util.Triple;



import java.io.*;

import java.util.List;





public class GetCRFProbsDemo {



    public static void main(String args)  throws ClassNotFoundException, IOException {

        String serializedClassifier = "edu/stanford/nlp/models/ner/english.all.3class.distsim.crf.ser.gz";

        AbstractSequenceClassifier<CoreLabel> classifier = CRFClassifier.getClassifier(serializedClassifier);

        System.out.println("---");

        System.out.println("Ten best entity labelings");

        DocumentReaderAndWriter<CoreLabel> readerAndWriter = classifier.makePlainTextReaderAndWriter();

        classifier.classifyAndWriteAnswersKBest(args[0], 10, readerAndWriter);

    }



}

answered Nov 24 '18 at 5:34

StanfordNLPHelp

6,761159

Here is some code that can print out the k (in the example 10) most likely sequences, and will print out the sequence probability.

import edu.stanford.nlp.ie.AbstractSequenceClassifier;

import edu.stanford.nlp.ie.crf.*;

import edu.stanford.nlp.io.IOUtils;

import edu.stanford.nlp.ling.CoreLabel;

import edu.stanford.nlp.ling.CoreAnnotations;

import edu.stanford.nlp.sequences.DocumentReaderAndWriter;

import edu.stanford.nlp.util.Triple;



import java.io.*;

import java.util.List;





public class GetCRFProbsDemo {



    public static void main(String args)  throws ClassNotFoundException, IOException {

        String serializedClassifier = "edu/stanford/nlp/models/ner/english.all.3class.distsim.crf.ser.gz";

        AbstractSequenceClassifier<CoreLabel> classifier = CRFClassifier.getClassifier(serializedClassifier);

        System.out.println("---");

        System.out.println("Ten best entity labelings");

        DocumentReaderAndWriter<CoreLabel> readerAndWriter = classifier.makePlainTextReaderAndWriter();

        classifier.classifyAndWriteAnswersKBest(args[0], 10, readerAndWriter);

    }



}

answered Nov 24 '18 at 5:34

StanfordNLPHelp

6,761159

answered Nov 24 '18 at 5:34

StanfordNLPHelp

6,761159

answered Nov 24 '18 at 5:34

StanfordNLPHelp

6,761159

answered Nov 24 '18 at 5:34

StanfordNLPHelp

6,761159

add a comment |

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