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Java example source code file (TreeVectorizer.java)

This example Java source code file (TreeVectorizer.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Learn more about this Java project at its project page.

Java - Java tags/keywords

arraylist, binarizetreetransformer, collapseunaries, exception, list, none, treeparser, treetransformer, treevectorizer, util

The TreeVectorizer.java Java example source code

/*
 *
 *  * Copyright 2015 Skymind,Inc.
 *  *
 *  *    Licensed under the Apache License, Version 2.0 (the "License");
 *  *    you may not use this file except in compliance with the License.
 *  *    You may obtain a copy of the License at
 *  *
 *  *        http://www.apache.org/licenses/LICENSE-2.0
 *  *
 *  *    Unless required by applicable law or agreed to in writing, software
 *  *    distributed under the License is distributed on an "AS IS" BASIS,
 *  *    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  *    See the License for the specific language governing permissions and
 *  *    limitations under the License.
 *
 */

package org.deeplearning4j.text.corpora.treeparser;

import org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree;
import org.deeplearning4j.text.corpora.treeparser.transformer.TreeTransformer;

import java.util.ArrayList;
import java.util.List;

/**
 * Tree vectorization pipeline. Takes a word vector model (as a lookup table)
 * and a parser and handles vectorization of strings appropriate for an RNTN
 *
 * @author Adam Gibson
 */
public class TreeVectorizer {

    private TreeParser parser;
    private TreeTransformer treeTransformer = new BinarizeTreeTransformer();
    private TreeTransformer cnfTransformer = new CollapseUnaries();

    /**
     * Uses the given parser and model
     * for vectorization of strings
     * @param parser the parser to use for converting
     * strings to trees
     */
    public TreeVectorizer(TreeParser parser) {
        this.parser = parser;
    }

    /**
     * Uses word vectors from the passed in word2vec model
     * @throws Exception
     */
    public TreeVectorizer() throws Exception {
        this(new TreeParser());
    }

    /**
     * Vectorizes the passed in sentences
     * @param sentences the sentences to convert to trees
     * @return a list of trees pre converted with CNF and
     * binarized and word vectors at the leaves of the trees
     *
     * @throws Exception
     */
    public List<Tree> getTrees(String sentences) throws Exception {
        List<Tree> ret = new ArrayList<>();
        List<Tree> baseTrees = parser.getTrees(sentences);
        for(Tree t : baseTrees) {
            Tree binarized = treeTransformer.transform(t);
            binarized = cnfTransformer.transform(binarized);
            ret.add(binarized);
        }

        return ret;

    }


    /**
     * Vectorizes the passed in sentences
     * @param sentences the sentences to convert to trees
     * @param label the label for the sentence
     * @param labels all of the possible labels for the trees
     * @return a list of trees pre converted with CNF and
     * binarized and word vectors at the leaves of the trees
     *
     * @throws Exception
     */
    public List<Tree> getTreesWithLabels(String sentences,String label,List labels) throws Exception {
        List<Tree> ret = new ArrayList<>();
        List<Tree> baseTrees = parser.getTreesWithLabels(sentences,label,labels);
        for(Tree t : baseTrees) {
            Tree binarized = treeTransformer.transform(t);
            binarized = cnfTransformer.transform(binarized);
            ret.add(binarized);
        }

        return ret;

    }



    /**
     * Vectorizes the passed in sentences
     * @param sentences the sentences to convert to trees
     * @param labels all of the possible labels for the trees
     * @return a list of trees pre converted with CNF and
     * binarized and word vectors at the leaves of the trees
     *
     * @throws Exception
     */
    public List<Tree> getTreesWithLabels(String sentences,List labels) throws Exception {
        List<String> realLabels = new ArrayList<>(labels);
        if(!realLabels.contains("NONE"))
            realLabels.add("NONE");
        List<Tree> ret = new ArrayList<>();
        List<Tree> baseTrees = parser.getTreesWithLabels(sentences,realLabels);
        for(Tree t : baseTrees) {
            Tree binarized = treeTransformer.transform(t);
            binarized = cnfTransformer.transform(binarized);
            ret.add(binarized);
        }

        return ret;

    }





}

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