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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.dvparser;

import java.util.Collections;
import java.util.IdentityHashMap;
import java.util.List;

import org.ejml.simple.SimpleMatrix;

import edu.stanford.nlp.ling.HasWord;
import edu.stanford.nlp.parser.lexparser.LexicalizedParser;
import edu.stanford.nlp.parser.lexparser.Options;
import edu.stanford.nlp.parser.lexparser.Reranker;
import edu.stanford.nlp.parser.lexparser.RerankerQuery;
import edu.stanford.nlp.parser.metrics.Eval;
import edu.stanford.nlp.trees.DeepTree;
import edu.stanford.nlp.trees.Tree;
import edu.stanford.nlp.trees.Trees;
import edu.stanford.nlp.trees.TreeTransformer;
import edu.stanford.nlp.util.Generics;

public class DVModelReranker implements Reranker {
  private final Options op;
  private final DVModel model;
  
  public DVModelReranker(DVModel model) {
    this.op = model.op;
    this.model = model;
  }

  DVModel getModel() {
    return model;
  }

  public Query process(List sentence) {
    return new Query();
  }

  public List getEvals() {
    Eval eval = new UnknownWordPrinter(model);
    return Collections.singletonList(eval);
  }

  public class Query implements RerankerQuery {
    private final TreeTransformer transformer;
    private final DVParserCostAndGradient scorer;

    private List deepTrees;

    public Query() {
      this.transformer = LexicalizedParser.buildTrainTransformer(op);
      this.scorer = new DVParserCostAndGradient(null, null, model, op);
      this.deepTrees = Generics.newArrayList();
    }
    
    public double score(Tree tree) {
      IdentityHashMap nodeVectors = Generics.newIdentityHashMap();
      Tree transformedTree = transformer.transformTree(tree);
      if (op.trainOptions.useContextWords) {
        Trees.convertToCoreLabels(transformedTree);
        transformedTree.setSpans();
      }
      double score = scorer.score(transformedTree, nodeVectors);
      deepTrees.add(new DeepTree(tree, nodeVectors, score));
      return score;
    }

    public List getDeepTrees() {
      return deepTrees;
    }
  }  

  private static final long serialVersionUID = 7897546308624261207L;
}