public static void main(String[] args) throws IOException {
PrintWriter out;
if (args.length > 1) {
out = new PrintWriter(args[1]);
} else {
out = new PrintWriter(System.out);
}
PrintWriter xmlOut = null;
if (args.length > 2) {
xmlOut = new PrintWriter(args[2]);
}
Properties props = new Properties();
props.put("annotators", "tokenize, ssplit, pos, lemma, ner,parse");
StanfordCoreNLP pipeline = new StanfordCoreNLP(props);
Annotation annotation;
if (args.length > 0) {
annotation = new Annotation(IOUtils.slurpFileNoExceptions(args[0]));
} else {
annotation =
new Annotation(
"Kosgi Santosh sent an email to Stanford University. He didn't get a reply.");
}
pipeline.annotate(annotation);
pipeline.prettyPrint(annotation, out);
}
/**
* 29% in FactorTable.getValue() 28% in CRFCliqueTree.getCalibratedCliqueTree() 12.6% waiting for
* threads
*
* <p>Single threaded: 15000 ms - 26000 ms Multi threaded: 4500 ms - 7000 ms
*
* <p>with 8 cpus, 3.3x - 3.7x speedup, around 800% utilization
*/
public static void benchmarkCRF() {
Properties props = new Properties();
props.setProperty("macro", "true"); // use a generic CRF configuration
props.setProperty("useIfInteger", "true");
props.setProperty("featureFactory", "edu.stanford.nlp.benchmarks.BenchmarkFeatureFactory");
props.setProperty("saveFeatureIndexToDisk", "false");
CRFClassifier<CoreLabel> crf = new CRFClassifier<CoreLabel>(props);
Random r = new Random(42);
List<List<CoreLabel>> data = new ArrayList<>();
for (int i = 0; i < 100; i++) {
List<CoreLabel> sentence = new ArrayList<>();
for (int j = 0; j < 20; j++) {
CoreLabel l = new CoreLabel();
l.setWord("j:" + j);
boolean tag = j % 2 == 0 ^ (r.nextDouble() > 0.7);
l.set(CoreAnnotations.AnswerAnnotation.class, "target:" + tag);
sentence.add(l);
}
data.add(sentence);
}
long msStart = System.currentTimeMillis();
crf.train(data);
long delay = System.currentTimeMillis() - msStart;
System.out.println("Training took " + delay + " ms");
}
