1. GATE is a software architecture and framework for developing and sharing human language technology tools and components. It provides a graphical development environment and reusable processing resources. 2. The framework is based on a component-based architecture where nearly everything is a component that can be easily shared and reused. It supports multiple languages and formats. 3. GATE includes machine learning components that can be used to classify annotations using trained models. Models can be exported and shared to allow applications of ML to new data.

5. Human Language Formal Knowledge (ontologies and instance bases) (A)IE CLIE (M)NLG Controlled Language OIE Semantic Web; Semantic Grid; Semantic Web Services KEY MNLG : Multilingual Natural Language Generation OIE : Ontology-aware Information Extraction AIE : Adaptive IE CLIE : Controlled Language IE IE and Knowledge: Closing the Language Loop

6. Populating Ontologies with IE

7. Protégé and Ontology Management

8. IE: the bad news… Domain specificity vs. task complexity: complexity specificity “ acceptable” accuracy domain specific simple entities events and relations very general

13. Visual Resources

15. Regression Test – Corpus Benchmark Tool

16. Information Retrieval Based on the Lucene IR engine

18. Processing Multilingual Data All the visualisation and editing tools for ML LRs use enhanced Java facilities:

25. Attributes Position Instances type: Token