Java Code Examples for edu.stanford.nlp.ie.crf.CRFClassifier#getClassifier()

The following examples show how to use edu.stanford.nlp.ie.crf.CRFClassifier#getClassifier() . You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example 1
Source File: StanfordChineseNER.java    From ambiverse-nlu with Apache License 2.0 5 votes vote down vote up 
@Override public void initialize(UimaContext aContext) throws ResourceInitializationException {
  super.initialize(aContext);
  expectedSuccessdingTags.put("GPE", "GPE");
  expectedSuccessdingTags.put("I-GPE", "I-GPE");
  expectedSuccessdingTags.put("B-GPE", "I-GPE");
  expectedSuccessdingTags.put("LOC", "LOC");
  expectedSuccessdingTags.put("I-LOC", "I-LOC");
  expectedSuccessdingTags.put("B-LOC", "I-LOC");
  expectedSuccessdingTags.put("PERSON", "PERSON");
  expectedSuccessdingTags.put("I-PER", "I-PER");
  expectedSuccessdingTags.put("B-PER", "I-PER");
  expectedSuccessdingTags.put("ORG", "ORG");
  expectedSuccessdingTags.put("I-ORG", "I-ORG");
  expectedSuccessdingTags.put("B-ORG", "I-ORG");
  expectedSuccessdingTags.put("MISC", "MISC");
  expectedSuccessdingTags.put("I-MISC", "I-MISC");
  expectedSuccessdingTags.put("B-MISC", "I-MISC");

  try {
    Properties props = ClassPathUtils.getPropertiesFromClasspath("edu/stanford/nlp/models/ner/chinese.kbp.distsim.prop");
    props.put("ner.useSUTime", "false"); //false not for english
    props.put("ner.applyNumericClassifiers", "false"); //false not for english
    props.put("mergeTags", "false");
    classifier = CRFClassifier.getClassifier("edu/stanford/nlp/models/ner/chinese.kbp.distsim.crf.ser.gz", props);
  } catch (IOException | ClassNotFoundException e) {
    throw new ResourceInitializationException(e);
  }
}
Example 2
Source File: StanfordQuery.java    From Library with MIT License 5 votes vote down vote up 
public StanfordQuery() {
    try {
        LOGGER.debug("Classifier loading started");
        ClassLoader classLoader = LibraryServicesImpl.class.getClassLoader();
        File file = new File(classLoader.getResource("nlp/english.all.3class.distsim.crf.ser.gz").getFile());
        this.classifier = CRFClassifier.getClassifier(file);
        LOGGER.debug("Classifier loaded successfully");
    } catch (Exception e) {
        LOGGER.error("Error while loading classifier", e);
    }
}
Example 3
Source File: NERThreadLocalService.java    From aliada-tool with GNU General Public License v3.0 5 votes vote down vote up 
protected AbstractSequenceClassifier<CoreLabel> initialValue() {
	try {
		return CRFClassifier.getClassifier(classifierFilePath);
	} catch (final Exception exception) {
		LOGGER.error(MessageCatalog._00052_CLASSIFIER_LOAD_FAILURE, classifierFilePath);
		return NULL_OBJECT_CLASSIFIER;
	}
}
Example 4
Source File: NERSingletonService.java    From aliada-tool with GNU General Public License v3.0 5 votes vote down vote up 
@Override
AbstractSequenceClassifier<CoreLabel> classifier() {
	synchronized(this) {
		if (classifier == null) {
				try {
					classifier = CRFClassifier.getClassifier(classifierFilePath);
				} catch (final Exception exception) {
					LOGGER.error(MessageCatalog._00052_CLASSIFIER_LOAD_FAILURE, classifierFilePath);
					classifier = NULL_OBJECT_CLASSIFIER;
				}
		}
		return classifier;
	}
}
Example 5
Source File: StanfordNeTagger.java    From OpenEphyra with GNU General Public License v2.0 5 votes vote down vote up 
/**
 * Initializes the StanfordNeTagger with a custom model.
 * 
 * @param customSerializedClassifier path of the custom classifier to load
 */
public static boolean init(String customSerializedClassifier) {
	try {
		classifier =
			CRFClassifier.getClassifier(customSerializedClassifier);
		serializedClassifier = customSerializedClassifier;
		return true;
	} catch (Exception e) {
		return false;
	}
}
Example 6
Source File: StanfordNamedEntityExtractor.java    From CLIFF with Apache License 2.0 5 votes vote down vote up 
private AbstractSequenceClassifier<CoreMap> recognizerForFiles(String NERmodel, String NERprop) throws IOException, ClassCastException, ClassNotFoundException {
    InputStream mpis = this.getClass().getClassLoader().getResourceAsStream("models/" + NERprop);
    Properties mp = new Properties();
    mp.load(mpis);
    AbstractSequenceClassifier<CoreMap> recognizer = (AbstractSequenceClassifier<CoreMap>) CRFClassifier.getClassifier("models/" + NERmodel, mp);
    return recognizer;
}