Serialized Form
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Package edu.stanford.nlp.annotation |
fc
JFileChooser fc
colorChooser
JColorChooser colorChooser
SuppressWarnings
boolean SuppressWarnings
warningsMenuItem
JMenuItem warningsMenuItem
doc
DefaultStyledDocument doc
tp
JTextPane tp
toolbar
JToolBar toolbar
tagsMenu
JMenu tagsMenu
viewMenu
JMenu viewMenu
scrollPane
JScrollPane scrollPane
colorMaps
Hashtable colorMaps
tags
Vector tags
buttons
Vector buttons
defaultColors
Vector defaultColors
tagsChanged
boolean tagsChanged
defaultColorIndex
int defaultColorIndex
hideHtml
boolean hideHtml
invisible
SimpleAttributeSet invisible
cache
String cache
actor
ActionListener actor
specialConstructor
boolean specialConstructor
- This variable determines which constructor was used to create
this object and thereby affects the semantics of the
"getMessage" method (see below).
currentToken
Token currentToken
- This is the last token that has been consumed successfully. If
this object has been created due to a parse error, the token
followng this token will (therefore) be the first error token.
expectedTokenSequences
int[][] expectedTokenSequences
- Each entry in this array is an array of integers. Each array
of integers represents a sequence of tokens (by their ordinal
values) that is expected at this point of the parse.
tokenImage
String[] tokenImage
- This is a reference to the "tokenImage" array of the generated
parser within which the parse error occurred. This array is
defined in the generated ...Constants interface.
eol
String eol
- The end of line string for this machine.
errorCode
int errorCode
- Indicates the reason why the exception is thrown. It will have
one of the above 4 values.
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Package edu.stanford.nlp.cluster |
score
double score
U
Matrix U
S
Matrix S
V
Matrix V
clusters
Vector clusters
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Package edu.stanford.nlp.dbm |
features
Collection features
- features for this Datum
labels
List labels
- labels for this Datum. Invariant: always non-null
title
String title
- title of this document (never null).
originalText
String originalText
- original text of this document (may be null).
labels
List labels
- Label(s) for this document.
label
String label
doc
String doc
parsedText
String parsedText
state
String state
MeSH
Vector MeSH
abstractText
String abstractText
uid
String uid
abstractText
String abstractText
name
String name
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Package edu.stanford.nlp.ie.desc |
description
String description
- description of the extractor
-
- See Also:
- Constant Field Values
words
String[] words
tsr
TaggedStreamTokenizer tsr
lookedAhead
boolean lookedAhead
lookAheadToken
String lookAheadToken
lookAheadType
int lookAheadType
initialized
boolean initialized
specialConstructor
boolean specialConstructor
- This variable determines which constructor was used to create
this object and thereby affects the semantics of the
"getMessage" method (see below).
currentToken
Token currentToken
- This is the last token that has been consumed successfully. If
this object has been created due to a parse error, the token
followng this token will (therefore) be the first error token.
expectedTokenSequences
int[][] expectedTokenSequences
- Each entry in this array is an array of integers. Each array
of integers represents a sequence of tokens (by their ordinal
values) that is expected at this point of the parse.
tokenImage
String[] tokenImage
- This is a reference to the "tokenImage" array of the generated
parser within which the parse error occurred. This array is
defined in the generated ...Constants interface.
eol
String eol
- The end of line string for this machine.
errorCode
int errorCode
- Indicates the reason why the exception is thrown. It will have
one of the above 4 values.
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Package edu.stanford.nlp.ie |
conceptValues
JPanel conceptValues
topPanel
JPanel topPanel
ontologyLabel
JTextField ontologyLabel
directoryLabel
JTextField directoryLabel
searchField
JTextField searchField
urlField
JTextField urlField
conceptField
JTextField conceptField
relationFields
JTextField[] relationFields
fromURLField
JLabel fromURLField
mergerLabel
JTextField mergerLabel
merger
InstanceMerger merger
extractors
FieldExtractor[] extractors
ontology
edu.unika.aifb.kaon.Ontology ontology
concept
edu.unika.aifb.kaon.Concept concept
searcher
WebSearch searcher
instances
edu.unika.aifb.kaon.Instance[] instances
confidences
Confidence[] confidences
currInstance
int currInstance
searchURLs
String[] searchURLs
next
JButton next
prev
JButton prev
fc
JFileChooser fc
finishSem
int finishSem
- semaphore for knowing when the extractions have finished
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Package edu.stanford.nlp.ie.hmm |
readObject
private void readObject(ObjectInputStream in)
throws IOException,
ClassNotFoundException
writeObject
private void writeObject(ObjectOutputStream out)
throws IOException
calcEmitStates
int calcEmitStates
- Number of states to iterate over.
End states and dummy target states don't need to be recalculated.
We make the restriction that all regular (background) states
precede special states in the states array. Since we have start and end
states, the Emit states are
2 = State.BKGRNDIDX .. State.BKGRNDIDX + calcEmitStates - 1.
states
State[] states
- The array of states. There are states.length states.
This includes a special start state and an end state.
targetFields
String[] targetFields
- names of fields being extracted
zeroTable
HashMap zeroTable
vocab
HashMap vocab
- maps words to how many times they appeared in training
uniform
PlainEmitMap uniform
targetParents
PlainEmitMap[] targetParents
- Shrinked emissions for union of all states of a particular type.
The background parent is targetParents[0].
hmmType
int hmmType
print
boolean print
relation
String relation
- The name of the relation that this extractor extracts
hmm
HMM hmm
- The HMM that extracts this field
states
int states
type
int type
- An integer type for a state, giving equivalence classes of states.
Types run from -2 to (num_types - 1). -2 is end state (no emissions).
-1 is start state (no emissions). In general, types < 0 have no
emissions and special transitions. In the IE world, type 0 is the
background state, types >= 1 are target types, and types after the end
of target types are other special non-target types.
This is a classification of states not a numbering. It is used for the
restricted EM used in the HMM module. If this feature is not desired,
one can simply give all tokens and states the same type, and then
regular EM will be done (give them a type between 0 and 1000
inclusive to avoid warning messages!).
emit
EmitMap emit
transition
double[] transition
transitions
List transitions
stateTypes
List stateTypes
prefixes
List prefixes
suffixes
List suffixes
targets
List targets
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Package edu.stanford.nlp.ie.merge |
conflictPenalty
double conflictPenalty
- Assessed when two fields conflict
vacuousMergePenalty
double vacuousMergePenalty
- Assessed when a merge doesn't affect any of the relevant fields.
mergePenalty
double mergePenalty
- assessed every time there is a merge
ignoredFields
HashMap ignoredFields
- stores the names of fields that don't participate in the merge
ignoredPenalties
HashMap ignoredPenalties
- stores the names of fields that are allowed to conflict
PRESENCE_SCORE
double PRESENCE_SCORE
- score for a field being filled
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Package edu.stanford.nlp.ie.pnp |
values
int[][] values
maxSize
double maxSize
- See Also:
- Constant Field Values
parent
JFrame parent
bimg
BufferedImage bimg
value
int value
labelShowing
boolean labelShowing
DEBUG
boolean DEBUG
PRINT_SCORES
boolean PRINT_SCORES
PRINT_RUNNING_SCORES
boolean PRINT_RUNNING_SCORES
numCategories
int numCategories
numExamples
int numExamples
priorBoost
double priorBoost
lengthNormalization
double lengthNormalization
heldOutPercent
int heldOutPercent
- See Also:
- Constant Field Values
heldOutExamples
List[] heldOutExamples
charConvergenceMargin
double charConvergenceMargin
- See Also:
- Constant Field Values
lengthConvergenceMargin
double lengthConvergenceMargin
- See Also:
- Constant Field Values
numCharWordSteps
int numCharWordSteps
- See Also:
- Constant Field Values
maxPriorBoost
int maxPriorBoost
- See Also:
- Constant Field Values
categoryCounts
int[] categoryCounts
lengthSequenceCounts
HashMap[] lengthSequenceCounts
lengthInterpolationConstants
double[][][] lengthInterpolationConstants
wordTotalCounts
int[] wordTotalCounts
charSequenceCounts
HashMap[] charSequenceCounts
charInterpolationConstants
double[][][] charInterpolationConstants
charSequenceTotalsByLength
HashMap[] charSequenceTotalsByLength
charTotalCounts
int[] charTotalCounts
wordCountsByLength
HashMap[] wordCountsByLength
wordTotalsByLength
HashMap[] wordTotalsByLength
charWordInterpolationConstants
HashMap[] charWordInterpolationConstants
lengthNormalizations
double[] lengthNormalizations
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Package edu.stanford.nlp.ie.regexp |
fieldName
String fieldName
- name of relation (field) extracted
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re
Pattern re
- regular expression to extract text
-
description
String description
- description of this RegexpExtractor
-
regexp
String regexp
conceptNames
String[] conceptNames
- names of concepts extracted from
-
fieldNames
String[] fieldNames
- names of relations (fields) extracted
-
groups
int[] groups
- group of regular expression to extract text from
-
regexps
org.apache.oro.text.regex.Pattern[] regexps
- regular expressions to extract text
-
description
String description
- description of this RegexpExtractor
-
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Package edu.stanford.nlp.ie.pcfg |
categoryNames
List categoryNames
DEBUG
boolean DEBUG
PRINT_SCORES
boolean PRINT_SCORES
PRINT_RUNNING_SCORES
boolean PRINT_RUNNING_SCORES
numCategories
int numCategories
numExamples
int numExamples
priorBoost
double priorBoost
lengthNormalization
double lengthNormalization
heldOutPercent
int heldOutPercent
- See Also:
- Constant Field Values
heldOutExamples
List[] heldOutExamples
charConvergenceMargin
double charConvergenceMargin
- See Also:
- Constant Field Values
lengthConvergenceMargin
double lengthConvergenceMargin
- See Also:
- Constant Field Values
numCharWordSteps
int numCharWordSteps
- See Also:
- Constant Field Values
maxPriorBoost
int maxPriorBoost
- See Also:
- Constant Field Values
categoryCounts
int[] categoryCounts
lengthSequenceCounts
HashMap[] lengthSequenceCounts
lengthInterpolationConstants
double[][][] lengthInterpolationConstants
wordTotalCounts
int[] wordTotalCounts
charSequenceCounts
HashMap[] charSequenceCounts
charInterpolationConstants
double[][][] charInterpolationConstants
charSequenceTotalsByLength
HashMap[] charSequenceTotalsByLength
charTotalCounts
int[] charTotalCounts
wordCountsByLength
HashMap[] wordCountsByLength
wordTotalsByLength
HashMap[] wordTotalsByLength
charWordInterpolationConstants
HashMap[] charWordInterpolationConstants
lengthNormalizations
double[] lengthNormalizations
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Package edu.stanford.nlp.io |
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Package edu.stanford.nlp.linalg |
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Package edu.stanford.nlp.math |
base
double base
exponent
int exponent
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Package edu.stanford.nlp.tagger.maxent |
position
int position
isTag
boolean isTag
nextXWord
Extractor nextXWord
num
int num
num
int num
t1
int t1
t2
int t2
tag1
String tag1
tag2
String tag2
num
int num
position
int position
s
HashSet s
forms
HashMap forms
v
Extractor[] v
borderLayout1
BorderLayout borderLayout1
jPanel1
JPanel jPanel1
gridLayout1
GridLayout gridLayout1
jTextArea1
JTextArea jTextArea1
jTextArea2
JTextArea jTextArea2
jPanel2
JPanel jPanel2
jButton1
JButton jButton1
titledBorder1
TitledBorder titledBorder1
titledBorder2
TitledBorder titledBorder2
pf
PrintFile pf
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Package edu.stanford.nlp.trees |
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Package edu.stanford.nlp.util |
maxBeamSize
int maxBeamSize
totalWeightSeen
double totalWeightSeen
i
int i
first
Object first
- Direct access is deprecated. Use first().
-
second
Object second
- Direct access is deprecated. Use second().
-
score
double score
grid
Color[][] grid
xMax
int xMax
yMax
int yMax
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Package edu.stanford.nlp.redwoods |
numElements
int numElements
values
int[] values
prob
double prob
count
double count
P_SMOOTH
double P_SMOOTH
tMap
HashMap tMap
rMap
HashMap rMap
PROB_SMOOTH
double PROB_SMOOTH
lambdarules
double lambdarules
lambdatags
double lambdatags
lambdatags2
double lambdatags2
smooth
boolean smooth
smoothmore
boolean smoothmore
Stanford NLP Group