External Links

Cite Key

Statistics

  • References: 0
  • Cited by: 0
  • Reviews: 0
  • Bibliographies: 0

PDF

Researchr

Researchr is a web site for finding, collecting, sharing, and reviewing scientific publications, for researchers by researchers.

Sign up for an account to create a profile with publication list, tag and review your related work, and share bibliographies with your co-authors.

TUM sebis at GermEval 2022: A Hybrid Model Leveraging Gaussian Processes and Fine-Tuned XLM-RoBERTa for German Text Complexity Analysis

Juraj Vladika, Stephen Meisenbacher, Florian Matthes. TUM sebis at GermEval 2022: A Hybrid Model Leveraging Gaussian Processes and Fine-Tuned XLM-RoBERTa for German Text Complexity Analysis. In Sebastian Möller 0001, Salar Mohtaj, Babak Naderi, editors, Proceedings of the GermEval 2022 Workshop on Text Complexity Assessment of German Text, GermEval@KONVENS 2022, Potsdam, Germany, September 12, 2022. pages 51-56, Association for Computational Linguistics, 2022. [doi]

Authors

Juraj Vladika

This author has not been identified. Look up 'Juraj Vladika' in Google

Stephen Meisenbacher

This author has not been identified. Look up 'Stephen Meisenbacher' in Google

Florian Matthes

This author has not been identified. Look up 'Florian Matthes' in Google
runs on