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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.

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/*
 * Copyright 2009 David Jurgens
 *
 * 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.mains;

import edu.ucla.sspace.common.ArgOptions;
import edu.ucla.sspace.common.SemanticSpace;
import edu.ucla.sspace.common.SemanticSpaceIO.SSpaceFormat;

import edu.ucla.sspace.isa.IncrementalSemanticAnalysis;

import edu.ucla.sspace.vector.TernaryVector;
import edu.ucla.sspace.ri.IndexVectorUtil;

import java.io.File;

import java.util.Map;
import java.util.Properties;

import java.util.logging.Logger;

/**
 * An executable class for running {@link IncrementalSemanticAnalysis} (ISA)
 * from the command line.  This class takes in several command line arguments.
 *
 * 
    * *
  • Required (at least one of): *
      * *
    • {@code -d}, {@code --docFile=FILE[,FILE...]} a file where each line is * a document. This is the preferred input format for large corpora * *
    • {@code -f}, {@code --fileList=FILE[,FILE...]} a list of document files * where each file is specified on its own line. * *
    * *
  • Algorithm Options: *
      * *
    • {@code -l}, {@code --vectorLength=INT} length of semantic vectors * *
    • {@code -p}, {@code --usePermutations=BOOL} whether to permute index * vectors based on word order * *
    • {@code -s}, {@code --windowSize=INT} how many words to consider in each * direction * *
    • {@code -L}, {@code --loadVectors=FILE} specifies a file containing * word-to-index vector mappings that should be used by the {@code * RandomIndxing} instance. This allows multiple invocations of this * program to reuse the same semantic space. * *
    • {@code -S}, {@code --saveVectors=FILE} specifies a file in which the * word-to-index vector mappings will be saved after the {@code * RandomIndxing} instance has finished processing all the documents. * When used in conjunction with the {@code --loadVectors} option, this * allows later invocations of this program to reuse the this * invocation's semantic space. * *
    • {@code -F}, {@code --tokenFilter=FILE[include|exclude][,FILE...]} * specifies a list of one or more files to use for {@link * edu.ucla.sspace.text.TokenFilter filtering} the documents. An option * flag may be added to each file to specify how the words in the filter * filter should be used: {@code include} if only the words in the filter * file should be retained in the document; {@code exclude} if only the * words not in the filter file should be retained in the * document. * *
    * *
  • Advanced Algorithm Options: *
      * *
    • {@code -n}, {@code --permutationFunction=CLASSNAME} the {@link * edu.ucla.sspace.index.PermutationFunction PermutationFunction} class * to use for permuting {@code TernarVector}s, if permutation is enabled. * *
    * *
  • Program Options: *
      * *
    • {@code -o}, {@code --outputFormat=}text, binary, sparse_text, * sparse_binary Specifies the output formatting to use when * generating the semantic space ({@code .sspace}) file. See {@link * edu.ucla.sspace.common.SemanticSpaceUtils SemanticSpaceUtils} for * format details. * *
    • {@code -w}, {@code --overwrite=BOOL} specifies whether to overwrite * the existing output files. The default is {@code true}. If set to * {@code false}, a unique integer is inserted into the file name. * *
    • {@code -v}, {@code --verbose} specifies whether to print runtime * information to standard out * *
    * *
* *

* * An invocation will produce one file as output {@code * hal-semantic-space.sspace}. If {@code overwrite} was set to {@code true}, * this file will be replaced for each new semantic space. Otherwise, a new * output file of the format {@code isa-semantic-space.sspace} will be * created, where {@code } is a unique identifier for that program's * invocation. The output file will be placed in the directory specified on the * command line. * * @see IncrementalSemanticAnalysis * * @author David Jurgens */ public class IsaMain extends GenericMain { private static final Logger LOGGER = Logger.getLogger(IsaMain.class.getName()); /** * The properties that were used to configure the {@link * IncrementalSemanticAnalysis} instance */ private Properties props; /** * The {@link IncrementalSemanticAnalysis} instance used by this runnable. * This variable is assigned after {@link #getSpace()} is called. */ private IncrementalSemanticAnalysis isa; private IsaMain() { super(false); props = null; isa = null; } /** * Adds all of the options to the {@link ArgOptions}. */ protected void addExtraOptions(ArgOptions options) { options.addOption('h', "historyDecayRate", "the decay rate for history " + "effects of co-occurring words", true, "DOUBLE", "Algorithm Options"); options.addOption('i', "impactRate", "the rate at which co-occurrence" + " affects semantics", true, "DOUBLE", "Algorithm Options"); options.addOption('l', "vectorLength", "length of semantic vectors", true, "INT", "Algorithm Options"); options.addOption('L', "loadVectors", "load word-to-TernaryVector mapping before " + "processing", true, "FILE", "Algorithm Options"); options.addOption('n', "permutationFunction", "permutation function to use. This should be " + "generic for TernaryVectors", true, "CLASSNAME", "Advanced Algorithm Options"); options.addOption('p', "usePermutations", "whether to permute " + "index vectors based on word order", true, "BOOL", "Algorithm Options"); options.addOption('r', "useSparseSemantics", "use a sparse encoding of " + "semantics to save memory", true, "BOOL", "Algorithm Options"); options.addOption('s', "windowSize", "how many words to consider " + "in each direction", true, "INT", "Algorithm Options"); options.addOption('S', "saveVectors", "save word-to-IndexVector mapping" + " after processing", true, "FILE", "Algorithm Options"); } public static void main(String[] args) { IsaMain isa = new IsaMain(); try { isa.run(args); } catch (Throwable t) { t.printStackTrace(); } } protected SemanticSpace getSpace() { isa = new IncrementalSemanticAnalysis(); // note that getSpace() is called after the arg options have been // parsed, so this call is safe. if (argOptions.hasOption("loadVectors")) { String fileName = argOptions.getStringOption("loadVectors"); LOGGER.info("loading index vectors from " + fileName); Map wordToIndexVector = IndexVectorUtil.load(new File(fileName)); isa.setWordToIndexVector(wordToIndexVector); } return isa; } protected Properties setupProperties() { // use the System properties in case the user specified them as // -Dprop= to the JVM directly. props = System.getProperties(); // Use the command line options to set the desired properites in the // constructor. Use the system properties in case these properties were // set using -Dprop= if (argOptions.hasOption("usePermutations")) { props.setProperty( IncrementalSemanticAnalysis.USE_PERMUTATIONS_PROPERTY, argOptions.getStringOption("usePermutations")); } if (argOptions.hasOption("permutationFunction")) { props.setProperty( IncrementalSemanticAnalysis.PERMUTATION_FUNCTION_PROPERTY, argOptions.getStringOption("permutationFunction")); } if (argOptions.hasOption("windowSize")) { props.setProperty( IncrementalSemanticAnalysis.WINDOW_SIZE_PROPERTY, argOptions.getStringOption("windowSize")); } if (argOptions.hasOption("vectorLength")) { props.setProperty( IncrementalSemanticAnalysis.VECTOR_LENGTH_PROPERTY, argOptions.getStringOption("vectorLength")); } if (argOptions.hasOption("useSparseSemantics")) { props.setProperty( IncrementalSemanticAnalysis.USE_SPARSE_SEMANTICS_PROPERTY, argOptions.getStringOption("useSparseSemantics")); } if (argOptions.hasOption("impactRate")) { props.setProperty( IncrementalSemanticAnalysis.IMPACT_RATE_PROPERTY, argOptions.getStringOption("impactRate")); } if (argOptions.hasOption("historyDecayRate")) { props.setProperty( IncrementalSemanticAnalysis.HISTORY_DECAY_RATE_PROPERTY, argOptions.getStringOption("historyDecayRate")); } return props; } /** * If {@code --saveVectors} was specified, write the accumulated * word-to-index vector mapping to file. */ @Override protected void postProcessing() { if (argOptions.hasOption("saveVectors")) { String fileName = argOptions.getStringOption("saveVectors"); LOGGER.info("saving index vectors to " + fileName); IndexVectorUtil.save(isa.getWordToIndexVector(), new File(fileName)); } } /** * {@inheritDoc} */ protected SSpaceFormat getSpaceFormat() { return SSpaceFormat.SPARSE_BINARY; } /** * Prints the instructions on how to execute this program to standard out. */ protected String getAlgorithmSpecifics() { // description of ISA Options return "ISA is an incremental algorithm where the semantics is based " + "on co-occurrence\nof words. Semantics accumulate as a function " + "both the index vectors and\nthe semantics of the co-occurring "+ "words. Documents are processed in the\norder they are specified," + "with documents in --fileList processed before\ndocuments " + "specified by the --docFile option.\n\n" + "The impact rate specifies the degree to which the co-occurrence " + "of a word\nimpacts the semantics of another word. This value " + "affects both of the\nimpact of index vectors and semantics. The" + "default rate is 0.003.\n\n" + "The history decay rate specifies how quickly to reduce the " + "impact of the\nsemantics of a co-occurring word as the total " + "number of occurrences for that\nword increases. High decay " + "rates cause the semantics to be discounted more\n" + "quickly. The default rate is 100."; } }





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