DISCO: an HPSG-based NLP system and its application for appointment scheduling

  • Authors:
  • Hans Uszkoreit;Rolf Backofen;Stephan Busemann;Abdel Kader Diagne;Elizabeth A. Hinkleman;Walter Kasper;Bernd Kiefer;Hans-Ulrich Krieger;Klaus Netter;Günter Neumann;Stephan Oepen;Stephen P. Spackman

  • Affiliations:
  • German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany;German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany;German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany;German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany;German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany;German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany;German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany;German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany;German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany;German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany;German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany;German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany

  • Venue:
  • COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
  • Year:
  • 1994

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Abstract

The natural language system DISCO is described. It combines• a powerful and flexible grammar development system;• linguistic competence for German including morphology, syntax and semantics;• new methods for linguistic performance modeling on the basis of high-level competence grammars;• new methods for modelling multi-agent dialogue competence;• an interesting sample application for appointment scheduling and calendar management.