GATE Training Materials

Title	No. of slides	Description
Introduction to GATE and Text Mining
Module 1 - Introduction to GATE Developer	58	Finding your way around the GATE GUI Loading and Viewing Documents All about Annotations Documents and Corpora Processing Resources and Plugins Applications Saving documents
Module 2 - Introduction to IE and ANNIE	145	Introduction to IE ANNIE Multilingual tools in GATE Evaluation and Corpus Quality Assurance
Module 3 - Introduction to JAPE	61	What is JAPE? Parts of the rule: LHS and RHS How to write simple patterns How to create new annotations and features Different operators Different matching styles Macros
Module 4 - Taking GATE to the Cloud	45 38 20	Part I: Teamware What is it? Teamware for annotation Teamware for quality assurance and curation Teamware for defining workflows, running automatic services, managing annotation projects Part II: GATE Cloud.net What is it? What is it for me? Part III: Mimir – Multi-paradigm indexing What is it? Why Mimir? Searching with Mimir Mimir query language
Programming in GATE
Module 5 - GATE Embedded API	66	GATE API Basics The CREOLE Model CREOLE Basics Resources, Parameters, Features Annotations, Documents, Corpora Execution Control PR and Language Analysers Controllers
Module 6 - GATE APIs	88	Using Java in JAPE Basic JAPE Java on the RHS Common idioms The GATE Ontology API 5 minute guide to ontologies Ontologies in GATE Embedded Optional Material Advanced JAPE
Module 7 - Creating New Resource Types	59	CREOLE Basics CREOLE Recap CREOLE Metadata Creating CREOLE Resources Your First Language Analyser Best Practice Your First Visual Resource Advanced CREOLE CREOLE Management Corpus-level processing Adding actions to the GUI
Module 8 - Advanced GATE Embedded	108	GATE in Multi-threaded/Web Applications Introduction Multi-threading and GATE Servlet Example The Spring Framework Making your own PRs duplication-friendly GATE and Groovy Introduction to Groovy Scripting GATE Developer Groovy Scripting for PRs and Controllers Writing GATE Resource Classes in Groovy Extending GATE Adding new document formats
Advanced GATE
Module 9 - Ontologies and Semantic Annotation	95	Brief introduction to ontologies, semantic annotation URIs, Labels, Comments + Hands-on Datatype Properties, Object Properties Traditional NE recognition Co-reference, Relations Richer NE Tagging Ontology-based IE Manual ontology editing in GATE Manual semantic annotation using OAT and RAT Automatic semantic annotation using OntoRoot Gazetteer and ontology-aware JAPE LKB Gazetteer Ontology-based evaluation using BDM
Module 10 - Advanced GATE Applications	115	This module is about adapting ANNIE to create your own applications, and to look at more advanced techniques within applications: Adapting ANNIE to different languages Using conditional applications Section-by-section processing Using multiple annotation sets Separating useful content in a document Schema Enforcer Using Groovy
Module 11 - Machine Learning	100 61	Part I: ML What is Machine Learning and why do we want to do it? Setting up a Corpus The Configuration File Running the ML PR in evaluation mode Evaluation in Machine Learning Engines and Algorithms Part II: ML Supplementary Material The GATE approach to learning relations How we represent relations How we represent machine learning instances How we represent and create features of these instances Configuring the Batch Learning PR
Module 12 - Opinion Mining	109	Introduced the concept of Opinion Mining and Sentiment Analysis Simple examples of rule-based and ML methods for creating OM applications Examples of how deeper linguistic information can be useful Practice with complex applications Looking ahead to the future

GATE Training Materials

12 Child Pages