Elamur Research⌕
☰
home / authors / Stephen Meisenbacher

Stephen Meisenbacher

Stephen Meisenbacher has 2 papers in our library, in 2026; often with Florian Matthes.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 4 · 78 works · 113 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 19 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #12233

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Technical University of MunichMunich · Germany2022–2026 · 49 papersEmployment 2022–2026 · Research Associatecurrent🎓Munich Center for Machine LearningMunich · Germany2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workBusiness, Management and Accounting · 1 workLanguage and Linguistics · 1 workOrganizational Behavior and Human Resource Management · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Inverted index · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. A Systematic Exploration of Text Decomposition and Budget Distribution in Differentially Private Text Obfuscation (2026)
    Word-level differentially private (DP) text obfuscation must work on whole documents to be useful. This raises two questions: how to split a document into units, and how to divide a fixed document-level ε among those units. Earlier studies looked at each question separately. This paper is the first to examine them…
  2. Building a Custom Taxonomy of AI Skills and Tasks from the Ground Up with Job Postings (2026)
    The paper asks how to best use very large, fast-growing text collections when building a domain taxonomy automatically with LLMs. The test case is AI-related skills, tasks, experience and qualifications in US job ads, where no established taxonomy exists. The authors propose TaxonomyBuilder, a bottom-up pipeline:

All works

8 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. DP-MLM: Differentially Private Text Rewriting Using Masked Language Models ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetStephen Meisenbacher et al.2024 · 23 citations
  2. On the Impact of Noise in Differentially Private Text Rewriting ↗Findings of the Association for Computational Linguistics: NAACL 2025 · no summary yetStephen Meisenbacher, Maulik Chevli, Florian Matthes2025 · 6 citations
  3. An Improved Method for Class-specific Keyword Extraction: A Case Study in the German Business Registry ↗Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024) · no summary yetStephen Meisenbacher et al.2024 · 2 citations
  4. Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective ↗arXiv:2404.18759 · no summary yetJuraj Vladika et al.2024 · 1 citation
  5. A Systematic Exploration of Text Decomposition and Budget Distribution in Differentially Private Text ObfuscationWorkshop on Privacy in Natural Language ProcessingStephen Meisenbacher, Angelo Kleinert, Florian Matthes2026
  6. Building a Custom Taxonomy of AI Skills and Tasks from the Ground Up with Job PostingsWorkshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or IndividualStephen Meisenbacher, Peter Norlander2026
  7. DP-IPI: A Hybrid Differential Privacy Text Rewriting Mechanism for Indirect Personal Identifiers in Clinical Texts ↗arXiv:2609.29684 · no summary yetIbrahim Baroud et al.2026
  8. With Privacy, Size Matters: On the Importance of Dataset Size in Differentially Private Text Rewriting ↗Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics · no summary yetStephen Meisenbacher, Florian Matthes2025

 Co-authors here

1 co-author with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 19 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/stephen-meisenbacher/