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Relational Database

…. GATE Format Handlers. ANNIE. …. Named entity. HTML docs. RTF docs. XML docs. Core- ference. Document content Document metadata Document format data Linguistic data. POS tagger. …. Named entity. …. Event extraction. …. Custom application 1. Relational Database.

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Relational Database

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  1. … GATE Format Handlers ANNIE … Named entity HTML docs RTF docs XML docs Core- ference Document content Document metadata Document format data Linguistic data POS tagger … Named entity … Event extraction … Custom application 1 Relational Database File storage Oracle/ PostgresQL A Language AnalysisExample 1(17)

  2. Visual Resources 2(17)

  3. Displaying Coreference Information 3(17)

  4. Displaying Syntactic Information 4(17)

  5. Lexicon Support – WordNet example 5(17)

  6. Performance Evaluation • At document level – annotation diff • At corpus level – corpus benchmark tool – tracking system’s performance over time 6(17)

  7. Regression Testing – Corpus Benchmark Tool 7(17)

  8. Populating Ontologies with IE 8(17)

  9. Protégé and Ontology Management 9(17)

  10. Information Retrieval Support Based on the Lucene IR engine 10(17)

  11. Editing Multilingual Data • GATE Unicode Kit (GUK) • Java provides no special support for text input (this may change) • Support for defining additional Input Methods (IMs) • currently 30 IMs for 17 languages • Pluggable in other applications 11(17)

  12. Processing Multilingual Data All the visualisation and editing tools for ML LRs use enhanced Java facilities: 12(17)

  13. Dialogue Systems • GATE is being used in the Amities project for automating call centres • Creation of dialogue processing server components to run in the Galaxy Communicator Software Infrastructure • Easy adaptation of the portable IE components to work on noisy ASR output • Robustness and speed of GATE components for real-time dialogue systems 13(17)

  14. Semantic Indexing in the MUMIS project • Multimedia Indexing and Searching Environment • Composite index of a multimedia programme from multiple sources in different languages • ASR, video processing, information extraction (Dutch, English, German), merging, user interface • University of Twente/CTIT, University of Sheffield, University of Nijmegen, DFKI, MPI, ESTEAM AB, VDA 14(17)

  15. Merging Formal Text Formal Text Formal Text Anno-tations The Whole Picture Ontology & Lexicon IE DE Formal Text Formal Text Final Annotations Formal Text IE Formal Text NL Formal Text Formal Text Formal Text EN Formal Text Formal Text Text Sources IE Video & Audio Signal Query Formal Text Formal Text Formal Text Formal Text Formal Text Formal Text Formal Text Formal Text Formal Text Formal Text Formal Text Formal Text Formal Text Formal Text Formal Text Formal Text Formal Text Formal Text Multimedia Data Base Formal Text Speech Signals Formal Text User Interface Trans criptions ASR Results 15(17)

  16. User Interface 16(17)

  17. Play 17(17)

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