use of org.apache.uima.resource.ResourceAccessException in project deeplearning4j by deeplearning4j.
the class PoStagger method initialize.
/**
* Initializes the current instance with the given context.
*
* Note: Do all initialization in this method, do not use the constructor.
*/
@Override
public void initialize(UimaContext context) throws ResourceInitializationException {
super.initialize(context);
this.context = context;
this.logger = context.getLogger();
if (this.logger.isLoggable(Level.INFO)) {
this.logger.log(Level.INFO, "Initializing the OpenNLP " + "Part of Speech annotator.");
}
POSModel model;
try {
POSModelResource modelResource = (POSModelResource) context.getResourceObject(UimaUtil.MODEL_PARAMETER);
model = modelResource.getModel();
} catch (ResourceAccessException e) {
throw new ResourceInitializationException(e);
}
Integer beamSize = AnnotatorUtil.getOptionalIntegerParameter(context, UimaUtil.BEAM_SIZE_PARAMETER);
if (beamSize == null)
beamSize = POSTaggerME.DEFAULT_BEAM_SIZE;
this.posTagger = new POSTaggerME(model, beamSize, 0);
}
use of org.apache.uima.resource.ResourceAccessException in project deeplearning4j by deeplearning4j.
the class ConcurrentTokenizer method initialize.
/**
* Initializes the current instance with the given context.
*
* Note: Do all initialization in this method, do not use the constructor.
*/
public void initialize(UimaContext context) throws ResourceInitializationException {
super.initialize(context);
TokenizerModel model;
try {
TokenizerModelResource modelResource = (TokenizerModelResource) context.getResourceObject(UimaUtil.MODEL_PARAMETER);
model = modelResource.getModel();
} catch (ResourceAccessException e) {
throw new ResourceInitializationException(e);
}
tokenizer = new TokenizerME(model);
}
Aggregations