Package edu.stanford.nlp.pipeline

Interface Summary

Interface	Description
Annotator	This is an interface for adding annotations to a fully annotated Annotation.

Class Summary

Class	Description
Annotation	An annotation representing a span of text in a document.
AnnotationPipeline	This class is designed to apply multiple Annotators to an Annotation.
AnnotationSerializer
AnnotationSerializer.IntermediateEdge
AnnotationSerializer.IntermediateNode
AnnotationSerializer.IntermediateSemanticGraph
Annotator.Requirement	The Requirement is a general way of describing the pre and post conditions of an Annotator running.
AnnotatorFactory	A Factory for creating a certain type of Annotator.
AnnotatorImplementations	A class abstracting the implementation of various annotators.
AnnotatorPool	An object for keeping track of Annotators.
CharniakParserAnnotator	This class will add parse information to an Annotation from the BLLIP parser.
ChineseSegmenterAnnotator	This class will add Segmentation information to an Annotation.
ChunkAnnotationUtils	Utility functions for annotating chunks
CleanXmlAnnotator	An annotator which removes all xml tags (as identified by the tokenizer) and possibly selectively keeps the text between them.
CoreMapAggregator	Function that aggregates several core maps into one
CoreMapAttributeAggregator	Functions for aggregating token attributes.
CoreMapAttributeAggregator.ConcatAggregator
CoreMapAttributeAggregator.ConcatCoreMapListAggregator<T extends CoreMap>
CoreMapAttributeAggregator.ConcatListAggregator<T>
CoreMapAttributeAggregator.MostFreqAggregator
CustomAnnotationSerializer	Serializes Annotation objects using our own format.
DefaultPaths	Default model paths for StanfordCoreNLP All these paths point to files distributed with the model jar file (stanford-corenlp-models-*.jar)
DeterministicCorefAnnotator	Implements the Annotator for the new deterministic coreference resolution system.
GenderAnnotator	This class adds gender information (MALE / FEMALE) to tokens as GenderAnnotations.
LabeledChunkIdentifier	Identifies chunks based on labels that uses IOB like encoding Assumes labels have the form - where the tag is a prefix indicating where in the chunk it is.
LabeledChunkIdentifier.LabelTagType	Class representing a label, tag and type
MorphaAnnotator	This class will add the lemmas of all the words to the Annotation.
NERCombinerAnnotator	This class will add NER information to an Annotation using a combination of NER models.
ParserAnnotator	This class will add parse information to an Annotation.
ParserAnnotatorUtils
POSTaggerAnnotator	Wrapper for the maxent part of speech tagger.
RegexNERAnnotator	This class adds NER information to an annotation using the RegexNERSequenceClassifier.
RelationExtractorAnnotator	Annotating relations between entities produced by the NER system.
Requirement	Stores and describes a set of requirements for the typical use of the pipeline.
SentenceAnnotator	A parent class for annotators which might want to analyze one sentence at a time, possibly in a multithreaded manner.
SentimentAnnotator	This annotator attaches a binarized tree with sentiment annotations to each sentence.
StanfordCoreNLP	This is a pipeline that takes in a string and returns various analyzed linguistic forms.
TextOutputter
TokenizerAnnotator	This class will PTB tokenize the input.
TokensRegexAnnotator	Uses TokensRegex patterns to annotate tokens.
TokensRegexNERAnnotator	TokensRegexNERAnnotator labels tokens with types based on a simple manual mapping from regular expressions to the types of the entities they are meant to describe.
TrueCaseAnnotator
WordsToSentencesAnnotator	This class assumes that there is a List<? extends CoreLabel> under the TokensAnnotation field, and runs it through WordToSentenceProcessor and puts the new List<List<? extends CoreLabel>> under the SentencesAnnotation field.
XMLOutputter
XMLOutputter.Options

Enum Summary

Enum	Description
TokenizerAnnotator.TokenizerType	Enum to identify the different TokenizerTypes.