Dr. Simon Ostermann

Contact +49 681 85775 5310 (Saarbrücken)

Address (Saarbrücken) Gebäude D3 1Stuhlsatzenhausweg 366123 Saarbrücken

Publications

Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandem
Qianli Wang; Tatiana Anikina; Nils Feldhus; Simon Ostermann; Sebastian Möller; Vera Schmitt
In: Marianna Apidianaki; Hend Al-Khalifa; Barbara Di Eugenio; Steven Schockaert (Hrsg.). 31th International Conference on Computational Linguistics 2025. International Conference on Computational Linguistics (COLING-2025), January 19-24, Abu Dhabi, United Arab Emirates, International Conference on Computational Linguistics, 2025.
Soft Language Prompts for Language Transfer
Ivan Vykopal; Simon Ostermann; Marián Simko
In: 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). Annual Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL-2025), Association for Computational Linguistics, 2025.
GrEmLIn: A Repository of Green Baseline Embeddings for 87 Low-Resource Languages Injected with Multilingual Graph Knowledge
Daniil Gurgurov; Rishu Kumar; Simon Ostermann
In: Findings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics. Annual Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL-2025), NAACL 2025, Association for Computational Linguistics, 2025.

TRAILS
Trustworthy and Inclusive Machines
Natural language processing (NLP) has demonstrated impressive performance in some human tasks. To achieve such performance, current neural models need to be pre-trained on huge amounts of raw text…
PERKS
Eliciting and Exploiting Procedural Knowledge in Industry 5.0
The PERKS project supports the holistic governance of industrial PK in its entire life cycle, from elicitation to management and from access to exploitation. PERKS bases its solutions on leading-edge…
DAM-S
Semantische Suche für das "Meere Online"-Portal der Deutschen Allianz Meeresforschung
Entwicklung einer semantischen, KI-gestützten Suchfunktion für das Portal "Meere Online" für die Deutsche Allianz Meeresforschung (DAM)
DisAI
Improving scientific excellence and creativity in combating disinformation with artificial intelligence and language technologies
In the DisAI project, the Kempelen Institute of Intelligent Technologies, DFKI, University of Copenhagen and CERTH joined forces to improve scientific excellence of KInIT in AI and language…
LT-Bridge
Bridging the technology gap: Integrating Malta into European Research and Innovation efforts for AIbased language technologies
The Horizon 2020 Work Programme Spreading Excellence and Widening Participation (WIDESPREAD) 2018-2020 states that the disparity in research and innovation capabilities between the leading EU Member…