an introduction to gate presented by lin. what is gate? stands for general architecture for text...
TRANSCRIPT
An Introduction to GATEAn Introduction to GATE
Presented
by
Lin Lin
What is GATE?What is GATE?
Stands for General Architecture for Text Engineering.
The theory behind GATE is SALE (Software Architecture for Language Engineering):– computer processing of human language– computer infrastructure for software
development
Who Use GATE?Who Use GATE?
Scientists performing experiments that involve processing human language
Developers developing applications with language processing components
Teachers and students of courses about language and language computation
How GATE can Help?How GATE can Help?Specify an architecture, or organizational
structure, for language processing softwareProvide a framework, or class library, that
implements the architecture and can be used to embed language processing capabilities in diverse applications
Provide a development environment built on top of the framework made up of convenient graphical tools for developing components
What are GATE Components?What are GATE Components?
Reusable software chunks with well defined interfaces
Used in Java beans and Microsoft’s .Net
GATE as an architectureGATE as an architecture
Breaks down to three types of components:– LanguageResources (LRs)
represent entities such as lexicons, corpora, or ontologies;
– ProcessingResources (PRs) represent entities that are primarily algorithmic, such as
parsers, generators or ngram modelers;
– VisualResources (VRs) represent visualization and editing components that
participate in GUIs.
LRs: Corpora, Documents, LRs: Corpora, Documents, and Annotationsand AnnotationsA Corpus in Gate is a Java Set whose
members are Documents.Documents are modeled as content plus
annotations plus features.Annotations are organized in graphs, which
are modeled as Java sets of Annotation.
Documents Processing in GATEDocuments Processing in GATE
Document:– Formats including XML, RTF, email, HTML,
SGML, and plain text.– Identified and converted into GATE annotation
format.– Processed by PRs.– Results stored in a serial data store (based on
Java serialization) or as XML.
Built-in GATE ComponentsBuilt-in GATE Components
Resources for common LE data structures and algorithms, including documents, corpora and various annotation types
A set of language analysis components for Information Extraction (e.g. ANNIE)
A range of data visualization and editing components
Develop Language Develop Language Processing Functionality using Processing Functionality using GATEGATEProgramming, or the development of
Language Resources such as grammars that are used by existing Processing Resources, or a mixture of both.
The development environment is used for:– visualization of the data structures produced
and consumed during processing– debugging– performance measurement
CREOLECREOLE
A Collection of REusable Objects for Language Engineering
The set of resources integrated with GATEAll the resources are packaged as Java
Archive (or ‘JAR’) files, plus some XML configuration data.
PRs: ANNIEPRs: ANNIE
A family of Processing Resources for language analysis included with GATE
Stands for A Nearly-New Information Extraction system.
Using finite state techniques to implement various tasks: tokenization, semantic tagging, verb phrase chunking, and so on.
ANNIE IE ModulesANNIE IE Modules
ANNIE ComponentsANNIE ComponentsTokenizerGazetteerSentence SplitterPart of Speech Tagger
– produces a part-of-speech tag as an annotation on each word or symbol.
Semantic TaggerOrthoMatcher Coreference Module
ANNIE Component: TokenizerANNIE Component: Tokenizer
Token Types– word, number, symbol, punctuation, and
spaceToken.
A tokenizer rule has a left hand side and a right hand side.
Tokenizer RuleTokenizer RuleOperations used on the LHS:
– | (or) – * (0 or more occurrences) – ? (0 or 1 occurrences) – + (1 or more occurrences)
The RHS uses ’;’ as a separator, and has the following format: {LHS} > {Annotation type};{attribute1}={value1};...;{attribute n}={value n}
Example Tokenizer RuleExample Tokenizer Rule"UPPERCASE_LETTER" "LOWERCASE_LETT
ER"* > Token;orth=upperInitial;kind=word;
– The sequence must begin with an uppercase letter, followed by zero or more lowercase letters. This sequence will then be annotated as type “Token”. The attribute “orth” (orthography) has the value “upperInitial”; the attribute “kind” has the value “word”.
ANNIE Component: GazetteerANNIE Component: Gazetteer
The gazetteer lists used are plain text files, with one entry per line.
Each list represents a set of names, such as names of cities, organizations, days of the week, etc.
Example Gazetteer ListExample Gazetteer List A small section of the list for units of currency: …… Ecu
European Currency Units FFr Fr German mark German marks New Taiwan dollar New Taiwan dollars NT dollar NT dollars
……
ANNIE Component: ANNIE Component: Semantic Tagger Semantic TaggerBased on JAPE language, which contains
rules that act on annotations assigned in earlier phases.
Produce outputs of annotated entities.
ANNIE Component: Sentence ANNIE Component: Sentence SplitterSplitterSegments the text into sentences. This module is required for the tagger. The splitter uses a gazetteer list of
abbreviations to help distinguish sentence-marking full stops from other kinds.
ANNIE Component: OrthoMatcherANNIE Component: OrthoMatcher
Adds identity relations between named entities found by the semantic tagger, in order to perform coreference.
Does not find new named entities, but it may assign a type to an unclassified proper name.
Create a New ResourceCreate a New Resource
Write a Java class that implements GATE’s beans model.
Compile the class, and any others that it uses, into a Java Archive (JAR) file.
Write some XML configuration data for the new resource.
Tell GATE the URL of the new JAR and XML files.
Example: Create a New Example: Create a New Component Called GoldFishComponent Called GoldFishGoldFish:
– Is a processing resource– Look for all instances of the word “fish” in the
document– Add an annotation of type “GoldFish”
Example: Create GoldFish Example: Create GoldFish Using BootStrap WizardUsing BootStrap Wizard
GoldFish: default files createdGoldFish: default files created
The default Java code created for the GoldFish resource looks like:– GoldFish.java
The default XML configuration for GoldFish looks like:– resource.xml
Create an Application with PRsCreate an Application with PRs
Applications model a control strategy for the execution of PRs.
Currently only pipeline execution is supported.– Simple pipelines: group a set of PRs together in
order and execute them in turn.– Corpus pipelines: open each document in the corpus
in turn, set that document as a runtime parameter on each PR, run all the PRs on the corpus, then close the document
Additional FacilitiesAdditional FacilitiesJAPE
– a Java Annotation Patterns Engine, provides regular-expression based pattern/action rules over annotations.
– The file “Main.jape” contains a list of the grammars to be used for for Named Entity Recognition, in the correct processing order.
– Used in ANNIE.
Additional FacilitiesAdditional Facilities
The ‘annotation diff’ tool in the development environment – implements performance metrics such as
precision and recall for comparing annotations.GUK (the GATE Unicode Kit)
– fills in some of the gaps in the JDK’s support for Unicode.
Embedding ANNIEEmbedding ANNIE
Create a stand alone ANNIE extraction system.
Example code that will embed ANNIE in an application that takes URLs as inputs and produces named entities as outputs.
Additional FeaturesAdditional Features
Add support for a new document formatCreate a new annotation schemaWrite your own algorithm to dump results
to fileWork with UnicodeWork with Oracle and PostgreSQL
Other VR can be Used in GATEOther VR can be Used in GATE
Ontogazetteer– makes ontologies “visible” in GATE.
Protégé– makes use of developed Protégé ontologies in
GATE, and also take advantage of being able to read different format ontology files in Protégé.
Link to GATE web pageLink to GATE web page
http://gate.ac.ukDocumentation and download
GATE DemoGATE Demo
GATE graphical development environmentDo information extraction with ANNIECreate and run an application.....