Amities progress report
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AMITIES Progress Report. Consortium Meeting 2/3 May 2002 University of Sheffield. Overview. Demonstrator Natural Language Understanding GALAXY Issues Corpus Transcription Issues. Demonstrator. Bilateral Sheffield/SUNY Base Dialogue Manager Generation Module PGDBS Missing NLU.

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AMITIES Progress Report

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Amities progress report

AMITIES Progress Report

Consortium Meeting

2/3 May 2002

University of Sheffield


Overview

Overview

  • Demonstrator

    • Natural Language Understanding

    • GALAXY Issues

  • Corpus

    • Transcription Issues


Demonstrator

Demonstrator

  • Bilateral Sheffield/SUNY

    • Base Dialogue Manager

    • Generation Module

    • PGDBS

  • Missing NLU


Natural language understanding

Natural Language Understanding

  • Extracting ‘semantic’ information

    • Names

    • Locations

    • Dates

    • Account numbers

  • Information Extraction


Gate for amities

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)


Annie grammars

ANNIE grammars

  • ACE

    • Automatic Content Extraction

    • Includes extraction on such media as:

      • ASR

      • OCR

  • Adapting Sheffield ACE grammars


Adapting ace grammars

Adapting ACE Grammars

  • Remove orthographic information

    • Case

    • Punctuation

    • Diacritics

  • Generate Multilingual Capability

    • Separate grammars for French, German


Galaxy issues

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


Nlu todo

NLU todo

  • Adapt ANNIE grammars for poor ASR output

  • Acquire high quality French/German resources (POS taggers…)

  • Learning information from corpus


Corpus

Corpus

  • Working closely with GE CRD and GESC Leeds

  • Iteratively improving transcription performance

  • Dealing with complex cases, to prepare corpus for eventual public release


Corpus analysis

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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