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Stanford CoreNLP provides a set of natural language analysis tools which can take raw English language text input and give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, mark up the structure of sentences in terms of phrases and word dependencies, and indicate which noun phrases refer to the same entities. It provides the foundational building blocks for higher level text understanding applications.

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package edu.stanford.nlp.trees.tregex.tsurgeon; 
import edu.stanford.nlp.util.logging.Redwood;

import java.util.Map;

import edu.stanford.nlp.trees.Tree;
import edu.stanford.nlp.trees.tregex.TregexMatcher;

/**
 * @author Roger Levy ([email protected])
 */
public class FetchNode extends TsurgeonPattern  {

  /** A logger for this class */
  private static Redwood.RedwoodChannels log = Redwood.channels(FetchNode.class);

  public FetchNode(String nodeName) {
    super(nodeName, TsurgeonPattern.EMPTY_TSURGEON_PATTERN_ARRAY);
  }


  @Override
  public TsurgeonMatcher matcher(Map newNodeNames, CoindexationGenerator coindexer) {
    return new Matcher(newNodeNames, coindexer);
  }

  private class Matcher extends TsurgeonMatcher {
    public Matcher(Map newNodeNames, CoindexationGenerator coindexer) {
      super(FetchNode.this, newNodeNames, coindexer);
    }

    @Override
    public Tree evaluate(Tree tree, TregexMatcher tregex) {
      Tree result = newNodeNames.get(label);
      if (result == null) {
        result = tregex.getNode(label);
      }
      if (result == null) {
        log.info("Warning -- null node fetched by Tsurgeon operation for node: " + this +
                           " (either no node labeled this, or the labeled node didn't match anything)");
      }
      return result;
    }
  }
}