Natural Language Dialogue Service for Appointment Scheduling Agents

Stephan Busemann; Thierry Declerck; Abdel Kader Diagne; Luca Dini; Judith Klein; Sven Schmeier

DFKI, DFKI Research Reports (RR), Vol. 97-02, 1997.


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 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.

RR-97-02.pdf (pdf, 223 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence