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Progress Report Consortium Meeting: Overview of NLU and GALAXY Issues

This report outlines progress made during the Consortium Meeting at University of Sheffield in May 2002. Topics include Natural Language Understanding, Extracting Semantic Information, Information Extraction, and Adapting ACE Grammars. The meeting highlighted advancements in Corpus Analysis, GALAXY Issues, and NLU To-Do tasks.

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Progress Report Consortium Meeting: Overview of NLU and GALAXY Issues

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  1. AMITIES Progress Report Consortium Meeting 2/3 May 2002 University of Sheffield

  2. Overview • Demonstrator • Natural Language Understanding • GALAXY Issues • Corpus • Transcription Issues

  3. Demonstrator • Bilateral Sheffield/SUNY • Base Dialogue Manager • Generation Module • PGDBS • Missing NLU

  4. Natural Language Understanding • Extracting ‘semantic’ information • Names • Locations • Dates • Account numbers • Information Extraction

  5. GATE for AMITIES • ANNIE • A Nearly New Information Extraction system • Finite state transducer (FASTUS) • Series of ‘grammars’ which look for objects • Developed largely for prose (MUC)

  6. ANNIE grammars • ACE • Automatic Content Extraction • Includes extraction on such media as: • ASR • OCR • Adapting Sheffield ACE grammars

  7. Adapting ACE Grammars • Remove orthographic information • Case • Punctuation • Diacritics • Generate Multilingual Capability • Separate grammars for French, German

  8. GALAXY Issues • Address multilinguality within GALAXY • Character encoding • Relationship between GATE and GALAXY • Embed GALAXY API within GATE – a specific linguistic resource for creating GALAXY servers

  9. NLU todo • Adapt ANNIE grammars for poor ASR output • Acquire high quality French/German resources (POS taggers…) • Learning information from corpus

  10. Corpus • Working closely with GE CRD and GESC Leeds • Iteratively improving transcription performance • Dealing with complex cases, to prepare corpus for eventual public release

  11. Corpus Analysis • First cut break down of corpus content • Automatic call classification algorithm • First cut utterance classification using DAMSL dialogue act set

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