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Wessel Poelman

Wessel Poelman has 4 papers in our library, in 2025–2026, most of them on Multilingual & cross-lingual NLP, Evaluation & benchmarks, Low-resource languages; often with Miryam de Lhoneux, Esther Ploeger, Johannes Bjerva.

4 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 2 · 31 works · 21 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 23 times in our library · ⭐ Paper Stars ranking: #9992

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

🎓KU LeuvenLeuven · Belgium2024–2026 · 19 papersEmploymentcurrent🎓University of AntwerpAntwerp · Belgium2026 · 1 papercurrent🎓University of GroningenGroningen · Netherlands2022 · 3 papers🎓Technical University of MunichMunich · Germany2023 · 1 paperEmployment

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 8The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 4 worksArts and Humanities · 4 worksComputer Science · 4 worksLanguage and Linguistics · 4 worksExperimental and Cognitive Psychology · 1 workPsychology · 1 workCommunication · 1 workSocial Sciences · 1 work

🧭 Topics 4Research subjects and languages the work is about.Evaluation & benchmarks · 2 worksMorphology · 1 workMultilingual & cross-lingual NLP · 2 worksLow-resource languages · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Type–token ratio · 1 work

 Works by year

2020s

20263 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. A Principled Framework for Evaluating on Typologically Diverse Languages (2026 · 11 citations)
    Multilingual NLP models are often described as working "across languages," but they can only be tested on a small subset of the world's languages.
  2. How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP (2026 · 6 citations)
    Wikipedia is often treated as a reliably clean source for NLP and is even used as a "high quality" reference when filtering web data.
  3. Confounding Factors in Relating Model Performance to Morphology (2025 · 6 citations)
    Studies disagree on whether morphologically rich languages are inherently harder for language models. The authors argue that much of this disagreement comes from uncontrolled variables in experimental design. They first list six confounds that an ideal study would keep fixed: the language set, morphological grouping…
  4. Form and Meaning in Intrinsic Multilingual Evaluations (2026 · 1 citation)
    Multilingual research often ranks models or languages by intrinsic scores such as perplexity, computed on multi-parallel test sets.

 Co-authors here

7 co-authors 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 23 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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