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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.
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.
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.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-".
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.
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.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.
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.
CachedMention stores all of the retun values
specified by the Mention interface.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.
LMClassifier.categoryDistribution().