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Natural Language Dialogue Service for Appointment Scheduling Agents

Stephan Busemann; Thierry Declerck; Abdel Kader Diagne; Luca Dini; Judith Klein; Sven Schmeier
In: Paul Jacobs (Hrsg.). Proceedings of the 5th Conference on Applied Natural Language Processing. Applied Natural Language Processing Conference (ANLP-97), March 31 - April 3, Washington D. C. USA, Pages 25-32, Morgan Kaufmann Publishers, 1997.


Appointment scheduling is a problem faced daily by many people and organizations. Cooperating agent systems have been developed to automate this task partially. In order to extend the circle of participants as far as possible we advocate for the use of natural language transmitted by email. We describe 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. NL coverage of the sublanguage is achieved through both corpus-based grammar development and the use of message extraction techniques. Also available as DFKI Research Report RR-97-02.

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