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a.
a element with no attributes.
a element with the specified
attributes.
a element with the specified
attribute and value.
a element with the specified
attributes and values.
a element with the specified
attributes and values.
a element with the specified
attributes and values.
abbr.
abbr element with no attributes.
abbr element with the specified
attributes.
abbr element with the specified
attribute and value.
abbr element with the specified
attributes and values.
abbr element with the specified
attributes and values.
abbr element with the specified
attributes and values.
abbr attribute.
Abstract represents the abstract of a MEDLINE
document.Abstract element.
AbstractText element.
AbstractCharLmRescoringChunker provides the basic
character language-model rescoring model used by the trainable
CharLmRescoringChunker and its compiled version.CommandLineArguments object represents a the
command-line arguments.AbstractDictionary is a dictionary with convenience
implementations of most methods.AbstractDiscreteDistribution provides a default
abstract implementation of discrete distributions.AbstractExternalizer is an adapter for read
resolved externalizables.AbstractHierachicalClusterer provides an adapter
for clustering for hierarchical clusterers.AbstractHmm is an abstract implementation of a
hidden Markov model which manages a symbol table and defines the
basic methods in terms of the symbolic linear probability methods.HmmEstimator may be used to train a hidden Markov
model (HMM).AbstractMatrix implements most of a matrix's
functionality in terms of methods for accessing numbers of rows and
columns and values.AbstractMedTagParser class provides an adapter for
NCBI's MedTag corpora, including GeneTag and MedPost.AbstractMentionFactory class implements the
mention factory interface using linguistically-motivated abstract
methods.AbstractSentenceModel implements a sentence model
in terms of the method that adds indices to the collection.AbstractVector implements most of a vector's
functionality in terms of methods for dimensionality and values.null if
there is no abstract.
true if the specified file name has
an acceptable suffix as specified in the constructor.
true if a file is acceptable to this
filter.
true if files with the specified
name should be accepted.
true for objects returned by the contained
iterator that should be returned by this iterator.
accept attribute.
accept-charset attribute.
AccessionNumber element.
accesskey attribute.
acronym.
acronym element with no attributes.
acronym element with the specified
attributes.
acronym element with the specified
attribute and value.
acronym element with the specified
attributes and values.
acronym element with the specified
attributes and values.
acronym element with the specified
attributes and values.
Acronym element.
action attribute.
AbstractMentionChain.add(Mention), which may be overridden
by subclasses to carry out additional bookkeeping when
new mentions are added.
BoundedPriorityQueue.offer(Object) instead. In the next
release, this will be redefined to match the collection
interface.
ShortPriorityQueue.offer(Object) instead.
java.util.Collections.addAll(Collection,Object[]) instead.
null.
AddFeatureExtractor returns feature vectors that result
from summing the feature vectors returned by a collection of
contained feature extractors.true if this classifier automatically adds
an intercept feature to each feature vector.
true if this CRF adds an intercept feature
with value 1.0 at index 0 to all feature vectors.
address.
address element with no attributes.
address element with the specified
attributes.
address element with the specified
attribute and value.
address element with the specified
attributes and values.
address element with the specified
attributes and values.
address element with the specified
attributes and values.
"CDATA".
Affiliation element.
Agency element.
align attribute.
true if all of the characters
making up the specified string are digits.
true if all of the characters
in the specified range are digits.
true if all of the characters in the
specified array are letters.
true if all of the characters in the
specified array are lower case letters.
true if the specified character sequence
contains only lowercase letters.
true if this spell checker allows
deletions.
true if this spell checker allows
insertions.
true if this spell checker allows
matches.
true if this spell checker allows
substitutions.
true if this spell checker allows
transpositions.
true if all of the characters in the
specified array are punctuation as specified by
Strings.isPunctuation(char).
true if all of the characters in the
specified string are punctuation as specified by
Strings.isPunctuation(char).
true if none of the characters in the
specified array are letters or digits.
true if all of the characters in the
specified array are upper case letters.
true if the specified buffer contains
only whitespace characters.
true if the specified string contains
only whitespace characters.
true if the specified range of the
specified character array only whitespace characters, as defined for
characters by Strings.isWhitespace(char c).
alt attribute.
AnnealingSchedule instance implements a method to
return the learning rate for a specified epoch.applet.
applet element with no attributes.
applet element with the specified
attributes.
applet element with the specified
attribute and value.
applet element with the specified
attributes and values.
applet element with the specified
attributes and values.
applet element with the specified
attributes and values.
ApproxDictionaryChunker implements a chunker that
produces chunks based on weighted edit distance of strings from
dictionary entries.archive attribute.
area.
area element with no attributes.
area element with the specified
attributes.
area element with the specified
attribute and value.
area element with the specified
attributes and values.
area element with the specified
attributes and values.
area element with the specified
attributes and values.
Article represents the content of the
Article element of a MEDLINE citation.Article element.
ArticleTitle element.
ArticleDate represents the date on which the
publisher created an electronic version of an article.true if the article has been translated
from a language other than English.
Exceptions.finiteNonNegative(String,double)
instead.
Author represents an author
of a paper, including information about name, affiliation,
title, and various qualifiers and dates.Author element.
AuthorList element.
AuthorList represents the authors of a particular
article.AutoCompleter maintains a dictionary of phrases with
counts and provides suggested completions based on prefix matching
by weighted edit distance and phrase likelihood.axis attribute.
b.
b element with no attributes.
b element with the specified
attributes.
b element with the specified
attribute and value.
b element with the specified
attributes and values.
b element with the specified
attributes and values.
b element with the specified
attributes and values.
"B-GENE".
true if this model does parenthesis
balancing.
base.
base element with no attributes.
base element with the specified
attributes.
base element with the specified
attribute and value.
base element with the specified
attributes and values.
base element with the specified
attributes and values.
base element with the specified
attributes and values.
basefont.
basefont element with no attributes.
basefont element with the specified
attributes.
basefont element with the specified
attribute and value.
basefont element with the specified
attributes and values.
basefont element with the specified
attributes and values.
basefont element with the specified
attributes and values.
bdo.
bdo element with no attributes.
bdo element with the specified
attributes.
bdo element with the specified
attribute and value.
bdo element with the specified
attributes and values.
bdo element with the specified
attributes and values.
bdo element with the specified
attributes and values.
"B_".
"B-".
BernoulliClassifier provides a feature-based
classifier where feature values are reduced to booleans based on a
specified threshold.BernoulliConstant implements a Bernoulli
distribution with a constant probability of success.BernoulliDistribution is a multivariate distribution
with two outcomes, 0 (labeled "failure") and 1 (labeled "success").BernoulliEstimator provides a maximum likelihood
estimate of a Bernoulli distribution.big.
big element with no attributes.
big element with the specified
attributes.
big element with the specified
attribute and value.
big element with the specified
attributes and values.
big element with the specified
attributes and values.
big element with the specified
attributes and values.
BigVectorClassifier provides an efficient linear
classifier implementation for large numbers of categories.BinaryLMClassifier is a boolean dynamic language
model classifier based on a single language model and cross-entropy
threshold.BinomialDistribution is a discrete distribution over
the number of successes given a fixed number of Bernoulli trials.BioTagChunkCodec implements a chunk to tag
coder/decoder based on the BIO encoding scheme and a
specified tokenizer factory.BitInput wraps an underlying input stream to provide
bit-level input.BitOutput wraps an underlying output stream to
provide bit-level output.BitTrieReader provides a trie reader that wraps a
bit-level input.BitTrieWriter provides a trie writer that wraps a
bit-level output.blockquote.
blockquote element with no attributes.
blockquote element with the specified
attributes.
blockquote element with the specified
attribute and value.
blockquote element with the specified
attributes and values.
blockquote element with the specified
attributes and values.
blockquote element with the specified
attributes and values.
body.
body element with no attributes.
body element with the specified
attributes.
body element with the specified
attribute and value.
body element with the specified
attributes and values.
body element with the specified
attributes and values.
body element with the specified
attributes and values.
Matcher that returns a
constant value if a boolean condition is satisifed and the no-match
score otherwise.border attribute.
Integer
instances to the specified collection, only considering tokens
between index start and end-1
inclusive.
Integer
instances to the specified collection, only considering tokens
between index start and end-1
inclusive.
Integer
instances to the specified collection, only considering tokens
between index start and end-1
inclusive.
BoundedFeatureExtractor provides a lower-bound and
upper-bound on feature values between which all values from a
contained base extractor are bounded.BoundedPriorityQueue implements a priority queue
with an upper bound on the number of elements.br.
br element with no attributes.
br element with the specified
attributes.
br element with the specified
attribute and value.
br element with the specified
attributes and values.
br element with the specified
attributes and values.
br element with the specified
attributes and values.
BrownPosParser class provides a parser for the
NLTK distribution of the Brown Corpus.BrownTextParser parses the Natural Language Toolkit
(NLTK) distribution of the Brown
Corpus.null
if there are no more objects.
button.
button element with no attributes.
button element with the specified
attributes.
button element with the specified
attribute and value.
button element with the specified
attributes and values.
button element with the specified
attributes and values.
button element with the specified
attributes and values.
Integer.toHexString(b) instead.
CachedMention stores all of the retun values
specified by the Mention interface.CacheFeatureExtractor uses a cache to store a mapping from
objects to their feature vector maps.true if the first character in the
specified array is an upper case letter and all subsequent
characters are lower case letters.
caption.
caption element with no attributes.
caption element with the specified
attributes.
caption element with the specified
attribute and value.
caption element with the specified
attributes and values.
caption element with the specified
attributes and values.
caption element with the specified
attributes and values.
true if this dictionary chunker is
case sensitive.
AbstractDictionary.categoryEntryList(Object) instead.
Dictionary.categoryEntryList(Object) instead.
LMClassifier.categoryDistribution().
cellpadding attribute.
cellspacing attribute.
center.
center element with no attributes.
center element with the specified
attributes.
center element with the specified
attribute and value.
center element with the specified
attributes and values.
center element with the specified
attributes and values.
center element with the specified
attributes and values.
ChainCrf<E> class implements linear chain conditional
random field decoding and estimation for input token sequences of
type E.ChainCrfChunker implements chunking based on a chain CRF
over string sequences, a tokenizer factory, and a tag to chunk
coder/decoder.ChainCrfFeatureExtractor interface specifies a method
for conditional random fields to extract the necessary node and
edge features for estimation and tagging.ChainCrfFeatures interface specifies methods for
extracting node and edge features for a conditional random field.char attribute.
SAXFilterHandler.mHandler.
DefaultHandler.characters(char[],int,int) to handle the
characters.
DefaultHandler.characters(char[],int,int).
DefaultHandler.characters(char[],int,int) to handle the
characters.
DefaultHandler.characters(char[],int,int).
TextContentFilter.filteredCharacters(char[],int,int).
CharacterTokenCategorizer.INSTANCE instead.
CharacterTokenizerFactory considers each
non-whitespace character in the input to be a distinct token.CharacterTokenizerFactory.INSTANCE instead.
CharLmHmmChunker employs a hidden Markov model
estimator and tokenizer factory to learn a chunker.CharLmHmmChunker from the specified
tokenizer factory and hidden Markov model estimator.
CharLmHmmChunker from the specified
tokenizer factory, HMM estimator and tag-smoothing flag.
CharLmRescoringChunker provides a long-distance
character language model-based chunker that operates by rescoring
the output of a contained character language model HMM chunker.charoff attribute.
CharSeqCounter counter provides counts for sequences
of characters.CharSeqMultiCounter combines the counts from a pair
of character sequence counters.charset attribute.
checked attribute.
Chemical indicates a chemical that is determined by
a name and registry number.Chemical element.
ChemicalList element.
Chunk interface specifies a slice of a character
sequence, a chunk type and a chunk score.ChunkAndCharSeq is an immutable composite of a
chunk and a character sequence.Chunker interface specifies methods for returning
a chunking given a character sequence or character slice.ChunkerEvaulator class provides an evaluation
framework for chunkers.ChunkFactory provides static factory methods for
creating chunks from components.ChunkHandlerAdapter converts a BIO-coded tag handler
to a chunk handler.Chunking interface specifies a set of chunks
over a shared underlying character sequence.ChunkingEvaluation stores and reports the results of
evaluating response chunkings against reference chunkings.ChunkingImpl provides a mutable, set-based
implementation of the chunking interface.ChunkTagHandlerAdapter converts a chunk handler to a
BIO-coded tag handler.CitationSubset element.
cite.
cite element with no attributes.
cite element with the specified
attributes.
cite element with the specified
attribute and value.
cite element with the specified
attributes and values.
cite element with the specified
attributes and values.
cite element with the specified
attributes and values.
cite attribute.
class attribute.
classid attribute.
Classification provides a first-best category.ClassificationHandler interface specifies a single
method for operating on a classification input and result.Classifier interface specifies a single method
that returns the classification of an input object.ClassifierEvaluator provides an evaluation harness
for classifiers.Clusterer interface defines a means of clustering
a set of input elementsClusterScore provides a range of cluster scoring
metrics for reference partitions versus response partitions.code.
code element with no attributes.
code element with the specified
attributes.
code element with the specified
attribute and value.
code element with the specified
attributes and values.
code element with the specified
attributes and values.
code element with the specified
attributes and values.
codebase attribute.
Coden element.
codetype attribute.
col.
col element with no attributes.
col element with the specified
attributes.
col element with the specified
attribute and value.
col element with the specified
attributes and values.
col element with the specified
attributes and values.
col element with the specified
attributes and values.
colgroup.
colgroup element with no attributes.
colgroup element with the specified
attributes.
colgroup element with the specified
attribute and value.
colgroup element with the specified
attributes and values.
colgroup element with the specified
attributes and values.
colgroup element with the specified
attributes and values.
CollectionTitle element.
CollectiveName element.
TokenizedLM.collocationSet(int,int,int) instead.
cols attribute.
colspan attribute.
CommaSeparatedValues object represents a
two-dimensional array of strings which may be read and written in
comma-separated-value string representation.CommentOrCorrection object represents one of
the many possible comments or corrections that have been applied
to an article.CommentsCorrections element.
Compilable interface specifies a general way in
which an object may be compiled to an object output.CompiledNGramBoundaryLM is constructed by reading
the serialized form of an instance of NGramBoundaryLM.CompiledNGramProcessLM implements a conditional
process language model.CompiledSpellChecker class implements a first-best
spell checker based on models of what users are likely to mean and
what errors they are likely to make in expressing their meaning.CompiledTokenizedLM implements a tokenized bounded
sequence language model.objOut.writeObject(this).
SymbolTableCompiler.compileTo(ObjectOutput).
Serializable interface instead.
Serializable interface instead.
Serializable interface instead.
Serializable interface instead.
true if the author list is complete.
true if the list of databank numbers in
the citation is complete.
CompleteYN attribute.
Completed value.
CompleteLinkClusterer implements complete link
agglomerative clustering.CompositeFilter is a SAX filter that is composed of
several filters through which events are passed.Strings.DEFAULT_SEPARATOR_STRING.
Strings.DEFAULT_SEPARATOR_STRING.
ConditionalClassification is a scored classification
which estimates conditional probabilities of categories given an
input.0.01.
0.01.
ConfidenceChunker interface specifies a method
for returning an iterator over chunks in order of confidence.ConfusionMatrix represents a
quantitative comparison between two classifiers over a fixed set of
categories on a number of test cases.true if the specified tokens and
whitespaces are consistent with the specified tokenizer
factory.
true if this dendrogram contains the
specified object as a leaf.
true if the specified string contains
an instance of the specified character.
true if at least one of the characters in
the specified array is a digit.
true if at least one of the characters in
the specified array is a letter.
content attribute.
coords attribute.
CopyrightInformation element.
Corpus abstract class provides a basis for passing
training and testing data to data handlers.CosineDistance class implements proximity as
vector cosine.CountComparator that compares objects
based on their counts in this object to counter map.
0.
Country element.
java.io.File.createTempFile(String,String) instead.
data attribute.
DataBank element.
DataBankList element.
DataBankName element.
DataBank represents a set of molecular
sequences registered in a particular database.DataBankList contains linkages of
molecular sequences mentioned in articles to their data bank
name and accession numbers.DateCompleted element.
DateCreated element.
DateRevised element.
null if it is still in process.
DatesAssociatedWithName element.
datetime attribute.
Day element.
dd.
dd element with no attributes.
dd element with the specified
attributes.
dd element with the specified
attribute and value.
dd element with the specified
attributes and values.
dd element with the specified
attributes and values.
dd element with the specified
attributes and values.
DecimalFormat directly with a pattern, or use the
newer Formatter class or String.format(String,Object[]) utility
method instead.
declare attribute.
Double.NEGATIVE_INFINITY.
"CHUNK".
"test".
"train".
defer attribute.
del.
del element with no attributes.
del element with the specified
attributes.
del element with the specified
attribute and value.
del element with the specified
attributes and values.
del element with the specified
attributes and values.
del element with the specified
attributes and values.
DelegateHandler may be used with a delegating
handler to more efficiently implement nested embeddings.DelegatingHandler is a SAX filter that routes events
to embedded handlers based on their element embedding.DeleteCitation element.
Dendrogram represents the result of a weighted
hierarchical clustering of a set of objects.DenseMatrix is a matrix implementation suitable for
matrices with primarily non-zero values.DenseVector is a vector implementation suitable for
vectors with primarily non-zero values.DescriptorName element.
dfn.
dfn element with no attributes.
dfn element with the specified
attributes.
dfn element with the specified
attribute and value.
dfn element with the specified
attributes and values.
dfn element with the specified
attributes and values.
dfn element with the specified
attributes and values.
Dictionary interface represents a dictionary as a
set of entries.DictionaryEntry provides a phrase as a string, an
object-based category for the phrase, and a double-valued score.1.
dir.
dir element with no attributes.
dir element with the specified
attributes.
dir element with the specified
attribute and value.
dir element with the specified
attributes and values.
dir element with the specified
attributes and values.
dir element with the specified
attributes and values.
dir attribute.
disabled attribute.
DiscreteDistribution provides a probability
distribution over long integer outcomes.DiskCorpus reads data from a specified training and
test directory using a specified parser.Distance interface provides a general method for
defining distances between two objects.div.
div element with no attributes.
div element with the specified
attributes.
div element with the specified
attribute and value.
div element with the specified
attributes and values.
div element with the specified
attributes and values.
div element with the specified
attributes and values.
dl.
dl element with no attributes.
dl element with the specified
attributes.
dl element with the specified
attribute and value.
dl element with the specified
attributes and values.
dl element with the specified
attributes and values.
dl element with the specified
attributes and values.
α for document distributions over topics
from which this sample was produced.
DotProductKernel is the trivial kernel function
computed by taking the dot product of the input vectors.dt.
dt element with no attributes.
dt element with the specified
attributes.
dt element with the specified
attribute and value.
dt element with the specified
attributes and values.
dt element with the specified
attributes and values.
dt element with the specified
attributes and values.
DynamicLMClassifier is a language model classifier
that accepts training events of categorized character sequences.EIdType attribute.
ELocationId element.
EditDistance class implements the standard notion
of edit distance, with or without transposition.Electronic-Print value for publication model.
ElectronicPubDate element.
Electronic value for publication model.
sb.append(c.toString()) instead.
ELocationId represents the pagination type
information for an electronic publication.em.
em element with no attributes.
em element with the specified
attributes.
em element with the specified
attribute and value.
em element with the specified
attributes and values.
em element with the specified
attributes and values.
em element with the specified
attributes and values.
null if not caching.
null if not caching.
Attributes with no
attributes.
Strings.EMPTY_CHAR_ARRAY instead.
0 array of integers.
Strings.EMPTY_STRING_ARRAY instead.
enctype attribute.
EndPage element.
GroupCharactersFilter.characters(char[],int,int) on
any accumulated characters.
SAXFilterHandler.mHandler.
GroupCharactersFilter.characters(char[],int,int) to handle any accumulated
characters.
SAXFilterHandler.mHandler.
true if all of the available bits have
been read or if this stream has been closed.
SAXFilterHandler.mHandler.
null namespace, using
the local name for both local and qualified names.
null namespace, using the local name for both
local and qualified names.
true if this codec enforces consistency
of the chunkings relative to the tokenizer factory.
EnglishStopTokenizerFactory instead.EnglishStopTokenizerFactory or ModifyTokenTokenizerFactory.modify(Tokenizer) instead.
EnglishStopTokenizerFactory applies an English stop
list to a contained base tokenizer factory.null if the entity is undefined.
AbstractDictionary.entryList() instead.
Dictionary.entryList() instead.
true if the specified chunkings are equal.
true if the two character sequences have
the same length and the same characters.
true if the specified object is a chunk
that is equal to this chunk.
true if the specified object is a chunk
and character sequence structurally equivalent to this one.
true if the specified object is a chunking
equal to this one.
true if the specified object is a mention
chain that is equal to this mention chain.
true if the specified mention chain is
equal to this mention chain.
true if the specified object is a
dictionary object equal to this one.
true if the specified object is a matrix of
the same dimensionality with the same values.
true if the specified object is a vector
with the same dimensionality and values as this vector.
true if the specified object is a matrix
with the same number of rows and columns and the same value in
every cell as this matrix.
true if the specified object is a vector
that has the same dimensionality and values as this vector.
true if the specified object is a string
tagging that's structurally identical to this tagging.
true if the specified object is a tokenization
that is equal to this one.
true if the specified arrays are
the same length and contain the same elements.
true if the specified object
is a pair that has objects equal to this pair's.
true if the specified object is
a scored object with an object equal to this object's
and equal scores.
SAXFilterHandler.mHandler.
F pruned to the specified minimum feature count,
using the specified feature extractor, automatically adding an
intercept feature if the flag is true, allow unseen tag
transitions as specified, using the specified training
parameters for annealing, measuring convergence, and reporting
the incremental results to the specified reporter.
LogisticRegression.estimate(Vector[],int[],RegressionPrior,AnnealingSchedule,Reporter,double,int,int)
instead.
EuclideanDistance class implements standard
Euclidean distance between vectors.null if there is no period in the name.
CharacterTokenizerFactory.INSTANCE instead.
IndoEuropeanTokenizerFactory.INSTANCE instead.
Factory provides a generic interface for object
creation of a specified type."failure".
FastCache is a map implemented with soft references,
optimistic copy-on-write updates, and approximate count-based
pruning.SAXFilterHandler.mHandler.
FeatureExtractor provides a method of converting
generic input objects into feature vectors.FeatureExtractorFilter contains a reference to another
feature extractor.Features class contains static utility classes for
manipulating features.fieldset.
fieldset element with no attributes.
fieldset element with the specified
attributes.
fieldset element with the specified
attribute and value.
fieldset element with the specified
attributes and values.
fieldset element with the specified
attributes and values.
fieldset element with the specified
attributes and values.
FileLineReader instance represents the lines of a file.File.isFile().
Files.fileToURLName(file) use
file.toURI().toURL().toString().
null otherwise.
null to remove the feature altogether.
ZScoreFeatureExtractor.zScore(String,double) instead; this
method no longer overrides the the method of the same name in
ModifiedFeatureExtractor because this class no longer
overrides ModifiedFeatureExtractor.
ModifiedTokenizerFactory instead.BoundedPriorityQueue.remove() instead.
HmmDecoder.tag(List) instead.
java.util.Formatter instead.
FixedWeightEditDistance sets constant weights for
the edit operations for weighted edit distance.Fβ value for
the specified β.
font.
font element with no attributes.
font element with the specified
attributes.
font element with the specified
attribute and value.
font element with the specified
attributes and values.
font element with the specified
attributes and values.
font element with the specified
attributes and values.
for attribute.
true if this model treats any input-final
token as a stop.
ForeName element.
form.
form element with no attributes.
form element with the specified
attributes.
form element with the specified
attribute and value.
form element with the specified
attributes and values.
form element with the specified
attributes and values.
form element with the specified
attributes and values.
ForwardBackwardTagLattice provides an implementation of
a tag lattice based on forward, backward, transition and
normalizing values.frame.
frame element with no attributes.
frame element with the specified
attributes.
frame element with the specified
attribute and value.
frame element with the specified
attributes and values.
frame element with the specified
attributes and values.
frame element with the specified
attributes and values.
frame attribute.
frameset.
frameset element with no attributes.
frameset element with the specified
attributes.
frameset element with the specified
attribute and value.
frameset element with the specified
attributes and values.
frameset element with the specified
attributes and values.
frameset element with the specified
attributes and values.
TokenizedLM.frequentTermSet(int,int) instead.
GaussianRadialBasisKernel provides a kernel based on
a Gaussian radial basis function with a fixed variance parameter."GENE".
GeneSymbol element.
"GENE".
GeneralNote element.
GeneralNote represents supplemental or descriptive
information related to the record.GeneTagChunkParser class is designed to parse the
offset-annotated first-best GeneTag named entity corpus into a
chunk-based representation.GeneTagParser class provides a tag parser for the
GeneTag named-entity corpus.abstract.
sentence.
sentence.
GeniaEntityChunkParser provides an entity parser for
the XML-formatted GENIA entity corpus.GeniaPosParser extracts the part-of-speech (POS)
tags from the GENIA text POS corpus and sends them to the specified
tag handler.GeniaSentenceParser provides a chunk parser for the
XML version of the GENIA corpus.null if
there is no value attached.
null if
there is no value attached.
null if it does not exist.
null
if none has been specified.
Parser.getHandler() instead.
Parser.getHandler() instead.
Parser.getHandler() instead.
Arrays.csvToArray(String).
AbstractCommand.getArgument(String), but
throws an exception if the argument does not exist.
l.get(0) instead.
-1 if it is not a category for this
confusion matrix.
null
if none has been specified.
Parser.getHandler() instead.
Parser.getHandler().
Parser.getHandler() instead.
null
handler.
Grant represents a particular instance of a grant.Grant element.
GrantID element.
GrantList element.
GrantList provides information about the grants that
funded the work repored in the article.GroupCharactersFilter.characters(char[],int,int) into a single call with all of the
content concatenated.h1.
h1 element with no attributes.
h1 element with the specified
attributes.
h1 element with the specified
attribute and value.
h1 element with the specified
attributes and values.
h1 element with the specified
attributes and values.
h1 element with the specified
attributes and values.
h2.
h2 element with no attributes.
h2 element with the specified
attributes.
h2 element with the specified
attribute and value.
h2 element with the specified
attributes and values.
h2 element with the specified
attributes and values.
h2 element with the specified
attributes and values.
h3.
h3 element with no attributes.
h3 element with the specified
attributes.
h3 element with the specified
attribute and value.
h3 element with the specified
attributes and values.
h3 element with the specified
attributes and values.
h3 element with the specified
attributes and values.
h4.
h4 element with no attributes.
h4 element with the specified
attributes.
h4 element with the specified
attribute and value.
h4 element with the specified
attributes and values.
h4 element with the specified
attributes and values.
h4 element with the specified
attributes and values.
h5.
h5 element with no attributes.
h5 element with the specified
attributes.
h5 element with the specified
attribute and value.
h5 element with the specified
attributes and values.
h5 element with the specified
attributes and values.
h5 element with the specified
attributes and values.
h6.
h6 element with no attributes.
h6 element with the specified
attributes.
h6 element with the specified
attribute and value.
h6 element with the specified
attributes and values.
h6 element with the specified
attributes and values.
h6 element with the specified
attributes and values.