All Downloads are FREE. Search and download functionalities are using the official Maven repository.

edu.ucla.sspace.dependency.DependencyExtractor Maven / Gradle / Ivy

Go to download

The S-Space Package is a collection of algorithms for building Semantic Spaces as well as a highly-scalable library for designing new distributional semantics algorithms. Distributional algorithms process text corpora and represent the semantic for words as high dimensional feature vectors. This package also includes matrices, vectors, and numerous clustering algorithms. These approaches are known by many names, such as word spaces, semantic spaces, or distributed semantics and rest upon the Distributional Hypothesis: words that appear in similar contexts have similar meanings.

The newest version!
/*
 * Copyright 2010 Keith Stevens
 *
 * This file is part of the S-Space package and is covered under the terms and
 * conditions therein.
 *
 * The S-Space package is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License version 2 as published
 * by the Free Software Foundation and distributed hereunder to you.
 *
 * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES,
 * EXPRESS OR IMPLIED ARE MADE.  BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE
 * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY
 * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION
 * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER
 * RIGHTS.
 *
 * You should have received a copy of the GNU General Public License
 * along with this program. If not, see .
 */

package edu.ucla.sspace.dependency;

import java.io.BufferedReader;
import java.io.IOException;


/**
 * An interface for classes that read the output files of dependency parse
 * sentences and convert the data into a dependency parse tree.  This interface
 * allows uniform access to tree structure from different parsing output
 * formats, such as CoNLL or MINIPAR.
 *
 * @author Keith Stevens
 */
public interface DependencyExtractor {
       
    /**
     * Reads the next dependency-parse tree from the reader, returning an array
     * of all the nodes in the tree.  The relations in the tree are reflected in
     * the nodes.
     *
     * 

* * This function may be called multiple times on the same reader if more * than one tree exists. * * @param reader a reader containing one or more dependency parse trees in * a recognized format * * @return an array of {@link DependencyTreeNode}s that compose a dependency * tree or {@code null} if no tree exists in the reader. * * @throws IOException when errors are encountered during reading */ public DependencyTreeNode[] readNextTree(BufferedReader reader) throws IOException; }




© 2015 - 2024 Weber Informatics LLC | Privacy Policy