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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.parser.metrics;

import java.util.Collections;
import java.util.Set;

import edu.stanford.nlp.trees.Constituent;
import edu.stanford.nlp.trees.ConstituentFactory;
import edu.stanford.nlp.trees.LabeledScoredConstituentFactory;
import edu.stanford.nlp.trees.Tree;

/**
 * Measures accuracy by only considering the very top of the parse tree, eg where S, SINV, etc go
 *
 * @author John Bauer
 */
public class TopMatchEval extends AbstractEval {

  private final ConstituentFactory cf;

  public TopMatchEval(String name, boolean runningAverages) {
    super(name, runningAverages);
    cf = new LabeledScoredConstituentFactory();
  }

  @Override
  protected Set makeObjects(Tree tree) {
    if (tree == null) {
      return Collections.emptySet();
    }
    // The eval trees won't have a root level, instead starting with
    // the S/SINV/FRAG/whatever, so just eval at the top level
    Set result = tree.constituents(cf, 0);
    return result;
  }

}