@inproceedings{ruppik-2024-topological,
title = "Topological Deep Learning for Term Extraction",
author = "Ruppik, Benjamin Matthias",
editor = "Inoue, Koji and
Fu, Yahui and
Axelsson, Agnes and
Ohashi, Atsumoto and
Madureira, Brielen and
Zenimoto, Yuki and
Mohapatra, Biswesh and
Stricker, Armand and
Khosla, Sopan",
booktitle = "Proceedings of the 20th Workshop of Young Researchers' Roundtable on Spoken Dialogue Systems",
month = sep,
year = "2024",
address = "Kyoto, Japan",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.yrrsds-1.16/",
pages = "43--45",
abstract = {Ben is a postdoctoral researcher in the Dialog Systems and Machine Learning research group led by Milica Ga{\v{s}}i{\'c} at the Heinrich-Heine-Universit{\"a}t D{\"u}sseldorf, 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.}
}
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<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.</abstract>
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%0 Conference Proceedings
%T Topological Deep Learning for Term Extraction
%A Ruppik, Benjamin Matthias
%Y Inoue, Koji
%Y Fu, Yahui
%Y Axelsson, Agnes
%Y Ohashi, Atsumoto
%Y Madureira, Brielen
%Y Zenimoto, Yuki
%Y Mohapatra, Biswesh
%Y Stricker, Armand
%Y Khosla, Sopan
%S Proceedings of the 20th Workshop of Young Researchers’ Roundtable on Spoken Dialogue Systems
%D 2024
%8 September
%I Association for Computational Linguistics
%C Kyoto, Japan
%F ruppik-2024-topological
%X 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.
%U https://aclanthology.org/2024.yrrsds-1.16/
%P 43-45
Markdown (Informal)
[Topological Deep Learning for Term Extraction](https://aclanthology.org/2024.yrrsds-1.16/) (Ruppik, YRRSDS 2024)
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.