Abstract
Ben is a postdoctoral researcher in the Dialog Systems and Machine Learning research group led by Milica Gašić at the Heinrich-Heine-Universität Düsseldorf, which he joined in 2022. In collaboration with the Topology and Geometry group in the Mathematics Department, under the supervision of Marcus Zibrowius, Ben is developing applications of Topological Data Analysis in Natural Language Processing, focusing on dialogue systems. Before transitioning to machine learning research, Ben was a pure mathematician at the Max-Planck-Institute for Mathematics in Bonn, where he specialized in knotted surfaces in 4-dimensional manifolds. He graduated from the University of Bonn in 2022.- Anthology ID:
- 2024.yrrsds-1.16
- Volume:
- Proceedings of the 20th Workshop of Young Researchers' Roundtable on Spoken Dialogue Systems
- Month:
- September
- Year:
- 2024
- Address:
- Kyoto, Japan
- Editors:
- Koji Inoue, Yahui Fu, Agnes Axelsson, Atsumoto Ohashi, Brielen Madureira, Yuki Zenimoto, Biswesh Mohapatra, Armand Stricker, Sopan Khosla
- Venues:
- YRRSDS | WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 43–45
- Language:
- URL:
- https://aclanthology.org/2024.yrrsds-1.16
- DOI:
- Cite (ACL):
- Benjamin Matthias Ruppik. 2024. Topological Deep Learning for Term Extraction. In Proceedings of the 20th Workshop of Young Researchers' Roundtable on Spoken Dialogue Systems, pages 43–45, Kyoto, Japan. Association for Computational Linguistics.
- Cite (Informal):
- Topological Deep Learning for Term Extraction (Ruppik, YRRSDS-WS 2024)
- PDF:
- https://preview.aclanthology.org/dois-2013-emnlp/2024.yrrsds-1.16.pdf