edu.stanford.nlp.parser.dvparser
Class DVModel
java.lang.Object
edu.stanford.nlp.parser.dvparser.DVModel
- All Implemented Interfaces:
- java.io.Serializable
public class DVModel
- extends java.lang.Object
- implements java.io.Serializable
- See Also:
- Serialized Form
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Constructor Summary |
DVModel(Options op,
Index<java.lang.String> stateIndex,
UnaryGrammar unaryGrammar,
BinaryGrammar binaryGrammar)
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DVModel(TwoDimensionalMap<java.lang.String,java.lang.String,org.ejml.simple.SimpleMatrix> binaryTransform,
java.util.Map<java.lang.String,org.ejml.simple.SimpleMatrix> unaryTransform,
TwoDimensionalMap<java.lang.String,java.lang.String,org.ejml.simple.SimpleMatrix> binaryScore,
java.util.Map<java.lang.String,org.ejml.simple.SimpleMatrix> unaryScore,
java.util.Map<java.lang.String,org.ejml.simple.SimpleMatrix> wordVectors,
Options op)
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Method Summary |
void |
addRandomBinaryMatrix(java.lang.String leftBasic,
java.lang.String rightBasic)
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void |
addRandomUnaryMatrix(java.lang.String childBasic)
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java.lang.String |
basicCategory(java.lang.String category)
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int |
binaryScoreIndex(java.lang.String leftChild,
java.lang.String rightChild)
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int |
binaryTransformIndex(java.lang.String leftChild,
java.lang.String rightChild)
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void |
filterRulesForBatch(java.util.Collection<Tree> trees)
Filters the transform and score rules so that we only have the
ones which appear in the trees given |
void |
filterRulesForBatch(java.util.Map<Tree,byte[]> compressedTrees)
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void |
filterRulesForBatch(TwoDimensionalSet<java.lang.String,java.lang.String> binaryRules,
java.util.Set<java.lang.String> unaryRules,
java.util.Set<java.lang.String> words)
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org.ejml.simple.SimpleMatrix |
getEndWordVector()
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org.ejml.simple.SimpleMatrix |
getScoreWForNode(Tree node)
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org.ejml.simple.SimpleMatrix |
getStartWordVector()
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org.ejml.simple.SimpleMatrix |
getUnknownWordVector()
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java.lang.String |
getVocabWord(java.lang.String word)
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org.ejml.simple.SimpleMatrix |
getWForNode(Tree node)
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org.ejml.simple.SimpleMatrix |
getWordVector(java.lang.String word)
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Pair<java.lang.String,java.lang.String> |
indexToBinaryScore(int pos)
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Pair<java.lang.String,java.lang.String> |
indexToBinaryTransform(int pos)
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java.lang.String |
indexToUnaryScore(int pos)
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java.lang.String |
indexToUnaryTransform(int pos)
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double[] |
paramsToVector()
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double[] |
paramsToVector(double scale)
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static double[] |
paramsToVector(double scale,
int totalSize,
java.util.Iterator<org.ejml.simple.SimpleMatrix>... matrices)
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static double[] |
paramsToVector(int totalSize,
java.util.Iterator<org.ejml.simple.SimpleMatrix>... matrices)
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void |
printAllMatrices(java.io.PrintStream out)
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void |
printMatrixNames(java.io.PrintStream out)
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void |
printMatrixStats(java.io.PrintStream out)
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void |
printParameterType(int pos,
java.io.PrintStream out)
Prints to stdout the type and key for the given location in the parameter stack |
void |
readWordVectors()
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void |
setRulesForTrainingSet(java.util.List<Tree> sentences,
java.util.Map<Tree,byte[]> compressedTrees)
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int |
totalParamSize()
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int |
unaryScoreIndex(java.lang.String child)
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int |
unaryTransformIndex(java.lang.String child)
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void |
vectorToParams(double[] theta)
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static void |
vectorToParams(double[] theta,
java.util.Iterator<org.ejml.simple.SimpleMatrix>... matrices)
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| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
binaryTransform
public transient TwoDimensionalMap<java.lang.String,java.lang.String,org.ejml.simple.SimpleMatrix> binaryTransform
unaryTransform
public transient java.util.Map<java.lang.String,org.ejml.simple.SimpleMatrix> unaryTransform
binaryScore
public transient TwoDimensionalMap<java.lang.String,java.lang.String,org.ejml.simple.SimpleMatrix> binaryScore
unaryScore
public transient java.util.Map<java.lang.String,org.ejml.simple.SimpleMatrix> unaryScore
wordVectors
public transient java.util.Map<java.lang.String,org.ejml.simple.SimpleMatrix> wordVectors
DVModel
public DVModel(Options op,
Index<java.lang.String> stateIndex,
UnaryGrammar unaryGrammar,
BinaryGrammar binaryGrammar)
- Parameters:
op - the parameters of the parser
DVModel
public DVModel(TwoDimensionalMap<java.lang.String,java.lang.String,org.ejml.simple.SimpleMatrix> binaryTransform,
java.util.Map<java.lang.String,org.ejml.simple.SimpleMatrix> unaryTransform,
TwoDimensionalMap<java.lang.String,java.lang.String,org.ejml.simple.SimpleMatrix> binaryScore,
java.util.Map<java.lang.String,org.ejml.simple.SimpleMatrix> unaryScore,
java.util.Map<java.lang.String,org.ejml.simple.SimpleMatrix> wordVectors,
Options op)
addRandomUnaryMatrix
public void addRandomUnaryMatrix(java.lang.String childBasic)
addRandomBinaryMatrix
public void addRandomBinaryMatrix(java.lang.String leftBasic,
java.lang.String rightBasic)
setRulesForTrainingSet
public void setRulesForTrainingSet(java.util.List<Tree> sentences,
java.util.Map<Tree,byte[]> compressedTrees)
filterRulesForBatch
public void filterRulesForBatch(java.util.Collection<Tree> trees)
- Filters the transform and score rules so that we only have the
ones which appear in the trees given
filterRulesForBatch
public void filterRulesForBatch(java.util.Map<Tree,byte[]> compressedTrees)
filterRulesForBatch
public void filterRulesForBatch(TwoDimensionalSet<java.lang.String,java.lang.String> binaryRules,
java.util.Set<java.lang.String> unaryRules,
java.util.Set<java.lang.String> words)
basicCategory
public java.lang.String basicCategory(java.lang.String category)
readWordVectors
public void readWordVectors()
totalParamSize
public int totalParamSize()
paramsToVector
public static double[] paramsToVector(double scale,
int totalSize,
java.util.Iterator<org.ejml.simple.SimpleMatrix>... matrices)
paramsToVector
public static double[] paramsToVector(int totalSize,
java.util.Iterator<org.ejml.simple.SimpleMatrix>... matrices)
paramsToVector
public double[] paramsToVector(double scale)
paramsToVector
public double[] paramsToVector()
vectorToParams
public static void vectorToParams(double[] theta,
java.util.Iterator<org.ejml.simple.SimpleMatrix>... matrices)
vectorToParams
public void vectorToParams(double[] theta)
getWForNode
public org.ejml.simple.SimpleMatrix getWForNode(Tree node)
getScoreWForNode
public org.ejml.simple.SimpleMatrix getScoreWForNode(Tree node)
getStartWordVector
public org.ejml.simple.SimpleMatrix getStartWordVector()
getEndWordVector
public org.ejml.simple.SimpleMatrix getEndWordVector()
getWordVector
public org.ejml.simple.SimpleMatrix getWordVector(java.lang.String word)
getVocabWord
public java.lang.String getVocabWord(java.lang.String word)
getUnknownWordVector
public org.ejml.simple.SimpleMatrix getUnknownWordVector()
printMatrixNames
public void printMatrixNames(java.io.PrintStream out)
printMatrixStats
public void printMatrixStats(java.io.PrintStream out)
printAllMatrices
public void printAllMatrices(java.io.PrintStream out)
binaryTransformIndex
public int binaryTransformIndex(java.lang.String leftChild,
java.lang.String rightChild)
unaryTransformIndex
public int unaryTransformIndex(java.lang.String child)
binaryScoreIndex
public int binaryScoreIndex(java.lang.String leftChild,
java.lang.String rightChild)
unaryScoreIndex
public int unaryScoreIndex(java.lang.String child)
indexToBinaryTransform
public Pair<java.lang.String,java.lang.String> indexToBinaryTransform(int pos)
indexToUnaryTransform
public java.lang.String indexToUnaryTransform(int pos)
indexToBinaryScore
public Pair<java.lang.String,java.lang.String> indexToBinaryScore(int pos)
indexToUnaryScore
public java.lang.String indexToUnaryScore(int pos)
printParameterType
public void printParameterType(int pos,
java.io.PrintStream out)
- Prints to stdout the type and key for the given location in the parameter stack
Stanford NLP Group