🧑‍🔬 Bela Gipp

🏛️ Affiliations

🎓University of GöttingenGöttingen · Germany2016–2026 · 116 papersEmployment since 2022 · Professor, Institute of Computer Sciencecurrent🎓University of California, BerkeleyBerkeley · United States2009–2026 · 31 papersEducationcurrent🎓Otto-von-Guericke-Universität MagdeburgMagdeburg · Germany2008–2026 · 15 papersEducationcurrent🤝FIZ Karlsruhe – Leibniz Institute for Information InfrastructureEggenstein-Leopoldshafen · Germany2026 · 1 papercurrent🎓University of WuppertalWuppertal · Germany2015–2023 · 90 papersEmployment since 2018🎓University of KonstanzKonstanz · Germany2015–2021 · 65 papers🔬Heidelberg Academy of Sciences and HumanitiesHeidelberg · Germany2021–2022 · 10 papers🏛️National Research Council CanadaOttawa · Canada2022–2023 · 4 papers🔬National Institute of InformaticsTokyo · Japan2014–2015 · 3 papers🔬Niedersächsische Staats- und Universitätsbibliothek GöttingenGöttingen · Germany2024Employment since 2024 · Scientific Director / Vice Director

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

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

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Affect, Body, Cognition, Demographics, and Emotion: The ABCDE of Text Features for Computational Affective Science (2026 · 3 citations)
   Research in computational affective and social science often requires text that has already been tagged with features such as emotion-word usage or the author's age.
2. Who Watches the Watchmen? Humans Disagree With Translation Metrics on Unseen Domains (2026 · 2 citations)
   Most quality estimation (QE) metrics for machine translation are built and validated on WMT data, so it is unclear whether they remain reliable on new domains.
3. Link Prediction for Event Logs in the Process Industry (2026 · 1 citation)
   Shift books in the process industry often split one incident across several log entries, for example when follow-up details are added later without being formally linked.

All works

20 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetMalte Ostendorff et al.2022 · 116 citations
2. Neural Media Bias Detection Using Distant Supervision With BABE - Bias Annotations By Experts ↗Findings of the Association for Computational Linguistics: EMNLP 2021 · no summary yetTimo Spinde et al.2021 · 98 citations
3. How Large Language Models are Transforming Machine-Paraphrase Plagiarism ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetJan Philip Wahle et al.2022 · 55 citations
4. Identifying Machine-Paraphrased Plagiarism ↗arXiv:2103.11909 · iConference 2022 · no summary yetJan Philip Wahle et al.2021 · 51 citations
5. Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection ↗arXiv:2103.12450 · JCDL 2021 · no summary yetJan Philip Wahle et al.2021 · 37 citations
6. Evaluating Document Representations for Content-based Legal Literature Recommendations ↗arXiv:2104.13841 · no summary yetMalte Ostendorff et al.2021 · 34 citations
7. Improving the Representation and Conversion of Mathematical Formulae by Considering their Textual Context ↗arXiv:1804.04956 (Proceedings of the ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), Jun. 2018, Fort Worth, USA) · no summary yetMoritz Schubotz et al.2018 · 30 citations
8. Paraphrase Types for Generation and Detection ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetJan Philip Wahle, Bela Gipp, Terry Ruas2023 · 25 citations
9. Paraphrase Types Elicit Prompt Engineering Capabilities ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetJan Philip Wahle et al.2024 · 20 citations
10. Why Machines Cannot Learn Mathematics, Yet ↗arXiv:1905.08359 (2019 http://ceur-ws.org/Vol-2414/paper14.pdf) · no summary yetAndré Greiner-Petter et al.2019 · 12 citations
11. Paraphrase Detection: Human vs. Machine Content ↗arXiv:2303.13989 · no summary yetJonas Becker et al.2023 · 11 citations
12. Automated Collection of Evaluation Dataset for Semantic Search in Low-Resource Domain Language ↗arXiv:2412.10008 · no summary yetAnastasia Zhukova, Christian E. Matt, Bela Gipp2024 · 5 citations
13. Towards Human Understanding of Paraphrase Types in Large Language Models ↗Proceedings of the 31st International Conference on Computational Linguistics · no summary yetDominik Meier et al.2025 · 4 citations
14. Affect, Body, Cognition, Demographics, and Emotion: The ABCDE of Text Features for Computational Affective ScienceComputational Affective Science (CAS) @ LRECJan Philip Wahle, Krishnapriya Vishnubhotla, Bela Gipp, et al.2026 · 3 citations
15. Who Watches the Watchmen? Humans Disagree With Translation Metrics on Unseen DomainsFindings of the Association for Computational LinguisticsFinn Schmidt, Jan Philip Wahle, Terry Ruas, et al.2026 · 2 citations
16. ANEA: Automated (Named) Entity Annotation for German Domain-Specific Texts ↗arXiv:2112.06724 · Proceedings of the 2nd Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE 2021) co-located with JCDL 2021, Virtual Event · no summary yetAnastasia Zhukova, Felix Hamborg, Bela Gipp2021 · 2 citations
17. Link Prediction for Event Logs in the Process IndustryWorkshop on the Role of Resources in the Age of Large Language ModelsAnastasia Zhukova, Thomas Walton, Christian E. Lobmüller, et al.2026 · 1 citation
18. Efficient Domain-adaptive Continual Pretraining for the Process Industry in the German Language ↗arXiv:2504.19856 · no summary yetAnastasia Zhukova, Christian E. Matt, Bela Gipp2025 · 1 citation
19. Multi-Agent Reasoning Improves Compute Efficiency: Pareto-Optimal Test-Time Scaling ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop) · no summary yetFlorian Valentin Wunderlich et al.2026
20. ALDEN: Reinforcement Learning for Active Navigation and Evidence Gathering in Long Documents ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetTianyu Yang et al.2026

🤝 Co-authors here

3 co-authors with a page, the most papers together first.

• Jan Philip Wahle ×2
• Krishnapriya Vishnubhotla
• Saif Mohammad

Venues

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

• Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing ×4
• Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop) ×2
• Computational Affective Science (CAS) @ LREC: Computational Affective Science (CAS) @ LREC 2026
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• Workshop on the Role of Resources in the Age of Large Language Models: Workshop on the Role of Resources in the Age of Large Language Models 2026
• Findings of the Association for Computational Linguistics: EMNLP 2021
• Proceedings of the 31st International Conference on Computational Linguistics

🔗 Cited by

Papers of our library cite their works 208 times (of the 149,439 papers whose bibliographies we read); 19 citing papers with a page here →.

Updated 1 November 2026

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