Examples of edu.stanford.nlp.pipeline.Annotator

edu.stanford.nlp.pipeline.Annotator
This is an interface for adding annotations to a fully annotated Annotation. In some ways, it is just a glorified Function, except that it explicitly operates on Annotation objects. Annotators should be given to an AnnotationPipeline in order to make annotation pipelines (the whole motivation of this package), and therefore implementers of this interface should be designed to play well with other Annotators and in their javadocs they should explicitly state what annotations they are assuming already exist in the annotation (like parse, POS tag, etc), what field they are expecting them under (Annotation.WORDS_KEY, Annotation.PARSE_KEY, etc) and what annotations they will add (or modify) and the keys for them as well. If you would like to look at the code for a relatively simple Annotator, I recommend NERAnnotator. For a lot of code you could just add the implements directly, but I recommend wrapping instead because I believe that it will help to keep the pipeline code more manageable.
An Annotator can also provide a description of what it produces and a description of what it requires to have been produced by using the Requirement objects. Predefined Requirement objects are provided for most of the core annotators, such as tokenize, ssplit, etc. The StanfordCoreNLP version of the AnnotationPipeline can enforce requirements, throwing an exception if an annotator does not have all of its prerequisite met. An Annotator which does not participate in this system can simply return Collections.emptySet() for both requires() and requirementsSatisfied(). @author Jenny Finkel

    return sents.get(0).get(TreeCoreAnnotations.TreeAnnotation.class);
  }


  private Annotator getParser() {
    if(parserProcessor == null){
      Annotator parser = StanfordCoreNLP.getExistingAnnotator("parse");
      if (parser == null) {
        // TODO: these assertions rule out the possibility of alternately named parse/pos annotators
        throw new AssertionError("Failed to get parser - this should not be possible");
      }
      if (parser.requires().contains(Annotator.POS_REQUIREMENT)) {
        Annotator tagger = StanfordCoreNLP.getExistingAnnotator("pos");
        if (tagger == null) {
          throw new AssertionError("Parser required tagger, but failed to find the pos annotator");
        }
        List<Annotator> annotators = Generics.newArrayList();
        annotators.add(tagger);

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      Properties props = getTimeAnnotatorProperties(request);
      String annotatorType = request.getParameter("annotator");
      if (annotatorType == null) {
        annotatorType = "sutime";
      }
      Annotator timeAnnotator = pipeline.getTimeAnnotator(annotatorType, props);
      if (timeAnnotator != null) {
        Annotation anno = pipeline.process(query, dateString, timeAnnotator);
        out.println("<h3>Annotated Text</h3> <em>(tagged using " + annotatorType + "</em>)");
        displayAnnotation(out, query, anno, includeOffsets);
      } else {

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    return anno;
  }


  static public void main(String[] args) throws IOException {
    SUTimePipeline pipeline = new SUTimePipeline();
    Annotator timeAnnotator = pipeline.getTimeAnnotator("sutime", new Properties());
    BufferedReader is = new BufferedReader(new InputStreamReader(System.in));
    System.out.print("> ");
    for(String line; (line = is.readLine()) != null; ){
      Annotation ann = pipeline.process(line, null, timeAnnotator);
      System.out.println(ann.get(TimeAnnotations.TimexAnnotations.class));

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edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder

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