Automating NL appointment scheduling with COSMA

  • Authors:
  • Stephan Busemann

  • Affiliations:
  • DFKI GmbH, Saarbrücken, Germany

  • Venue:
  • ANLC '97 Proceedings of the fifth conference on Applied natural language processing: Descriptions of system demonstrations and videos
  • Year:
  • 1997

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Abstract

Appointment scheduling is a problem faced daily by many individuals and organizations. Cooperating agent systems have been developed to partially automate this task. In order to extend the circle of participants as far as possible we advocate the use of natural language transmitted by e-mail. We demonstrate COSMA, a fully implemented German language server for existing appointment scheduling agent systems. COSMA can cope with multiple dialogues in parallel, and accounts for differences in dialogue behaviour between human and machine agents.