Shallow Analysis Generation TG
نویسندگان
چکیده
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 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 corpusbased grammar development and the use of message extraction techniques.
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