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Dr.-Ing. Stefan Schaffer, M.A.

Organizational unit Cognitive Assistants
Contact +49 30 23895 1820 (Berlin)

Address (Berlin) DFKI Labor Berlin - HauptgebäudeAlt-Moabit 91cD-10559 Berlin

Publications

Jan Nehring; Aleksandra Gabryszak; Pascal Jürgens; Aljoscha Burchardt; Stefan Schaffer; Matthias Spielkamp; Birgit Stark

In: Nicoletta Calzolari; Min-Yen Kan; Veronique Hoste; Alessandro Lenci; Sakriani Sakti; Nianwen Xue (Hrsg.). Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING-2024), ELRA and ICCL, 2024.

To the publication

Stefan Schaffer; Eva Schwaetzer; Aaron Ruß; Oliver Gustke

In: Timo Baumann (Hrsg.). Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2024. Elektronische Sprachsignalverarbeitung (ESSV-2024), Germany, Pages 13-21, ISBN 978-3-95908-325-6, TUDpress, Dresden, 2024.

To the publication

Kai Karren; Michael Schmitz; Stefan Schaffer

In: Proceedings of the 6th ACM Conference on Conversational User Interfaces. International Conference on Conversational User Interfaces (CUI-2024), Luxembourg, Luxembourg, CUI '24, ISBN 9798400705113, Association for Computing Machinery, 2024.

To the publication

Profile

  • ToHyVe

    Toolbox für Hybride Veranstaltungsformate

    The changes in business communications triggered by the COVID 19 crisis will be lasting. Companies have learned that a large proportion of meetings can certainly be conducted online, saving a lot of…

    ToHyVe
  • Stadt-Land-Fluss

    Data and AI-driven development and strengthening of value chains in regional food systems.

    The joint project "Stadt-Land-Flussr" (data and AI-supported development and strengthening of value chains in the field of regional food systems), SLF for short, investigates the strengthening of the…

    Stadt-Land-Fluss
  • ChiM

    Chatbot in the Museum

    Until today, audio or media guides accompany exhibition visits and offer explanations for museum objects. The CHIM project aims to develop a learning, conversational museum guide that enables…

    ChiM