M.Sc. Carolin Schindler
Albert-Einstein-Allee 43
Towards Natural Multimodal Interaction with Argumentative Dialogue Systems
Argumentation is an essential element of human communication and reasoning. Whenever information is incomplete or inconsistent, we start to argue. This can take place internally as well as externally with other people or conversational agents. Recent works increase the flexibility of argumentative dialogue systems with respect to the possible topics of the argumentation. Still, the naturalness of the interaction with the dialogue system shows room for improvement.
Possible research directions are
Master of Science in Cognitive Systems at Ulm University
Bachelor of Science in Informationssystemtechnik (Communications and Computer Engineering) at Ulm University
Through my inter-disciplinary course of studies, my background is in Computer Science and Psychology as well as in Electrical Engineering.
C. Schindler, D. Mayumi, Y. Matsuda, N. Rach, K. Yasumoto and W. Minker
ARCADE: An Augmented Reality Display Environment for Multimodal Interaction with Conversational Agents
CoRR, Vol. abs/2408.06222, 2024
DOI
Bibtex
C. Schindler
Overlapping Aspect-based Argument Cluster Analysis including Cluster Labelling for Opinion Formation with Argumentative Dialogue Systems
Master's thesis, 2024
DOI
N. Rach, C. Schindler, I. Feustel, J. Daxenberger, W. Minker and S. Ultes
From Argument Search to Argumentative Dialogue: A Topic-independent Approach to Argument Acquisition for Dialogue Systems
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, ACL, Singapore, 2021
Link to Document
Bibtex
C. Schindler
Argumentative Relation Classification for Argumentative Dialogue Systems
Bachelor's thesis, 2020
DOI
When you are interested in working on a thesis or project within my PhD topic and research interests, just write me an email (Deutsch, English). Based on your background, we can discuss open topics and your own proposals.
Master's Student
Knowledge-grounded Natural Language Generation: From Wikipedia to the Argumentative Domain
Project Work, 2024
Master's Student
Natural Language Generation for Knowledge-grounded Dialogue Systems
Seminar Work, 2024