Example usage for edu.stanford.nlp.pipeline StanfordCoreNLP clearAnnotatorPool

Introduction

In this page you can find the example usage for edu.stanford.nlp.pipeline StanfordCoreNLP clearAnnotatorPool.

Prototype

public static synchronized void clearAnnotatorPool() 

Source Link

Document

Call this if you are no longer using StanfordCoreNLP and want to release the memory associated with the annotators.

Usage

From source file:com.romeikat.datamessie.core.processing.service.stemming.namedEntity.ClassifierPipelineProvider.java

License:Open Source License

@Async
public void initializePipeline() {
    // Perform initialization only once
    synchronized (pipelineInitializing) {
        if (pipelineInitializing) {
            LOG.debug("Skipping classifier pipeline initialization as already in progress");
            return;
        }/* ww  w  .j  ava  2s .co  m*/

        LOG.info("Starting classifier pipeline initialization");
        pipelineInitializing = true;
        pipeline = null;
    }

    // Initialize
    StanfordCoreNLP.clearAnnotatorPool();
    final Properties props = new Properties();
    // Lexing
    props.put("untokenizable", "noneKeep");
    // Lemmatization (works only for English)
    // props.put("annotators", "tokenize, ssplit, pos, lemma");
    // Named entity recognition
    props.put("annotators", "tokenize, ssplit, ner");
    props.put("pos.model", posModel);
    props.put("ner.useSUTime", "false");
    props.put("ner.model", nerModel);
    props.put("ner.applyNumericClassifiers", "false");
    try {
        pipeline = new StanfordCoreNLP(props);
    } catch (final Exception e) {
        LOG.error("Could not initialize pipeline", e);
        return;
    }

    // Done
    LOG.info("Completed classifier pipeline initialization");
    pipelineInitializing = false;
}

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