Self-organized language modeling for speech recognition
Readings in speech recognition
Modeling the illocutionary aspects of information-seeking dialogues
Information Processing and Management: an International Journal
ISSD-93 Selected papers presented at the international symposium on Spoken dialogue
Verbmobil - Translation of Face-To-Face Dialogs
Grundlagen und Anwendungen der Künstlichen Intelligenz, 17. Fachtagung für Künstliche Intelligenz, Humboldt-Universität zu
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A task independent oral dialogue model
EACL '91 Proceedings of the fifth conference on European chapter of the Association for Computational Linguistics
Planning text for advisory dialogues
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Planning coherent multisentential text
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
Wizard of Oz Method for Learning Dialog Agents
CIA '01 Proceedings of the 5th International Workshop on Cooperative Information Agents V
The reliability of a dialogue structure coding scheme
Computational Linguistics
An annotation scheme for discourse-level argumentation in research articles
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Utilizing statistical dialogue act processing in VERBMOBIL
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Learning dialog act processing
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
Learning and adaptivity in interactive recommender systems
Proceedings of the ninth international conference on Electronic commerce
Incremental speech translation
Incremental speech translation
Dialogue strategies for multimedia retrieval: intertwining abductive reasoning and dialogue planning
MIRO'95 Proceedings of the Final conference on Multimedia Information Retrieval
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We present the dialogue component of the speech-to-speech translation system VERBMOBIL. In contrast to conventional dialogue systems it mediates the dialogue while processing maximally 50% of the dialogue in depth. Special requirements (robustness and efficiency) lead to a 3-layered hybrid architecture for the dialogue module, using statistics, an automaton and a planner. A dialogue memory is constructed incrementally.