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Artur Kulmizev

Artur Kulmizev has 2 papers in our library, in 2018–2021, most of them on Universal Dependencies, Language models & pretraining; often with Mostafa Abdou, Anders Søgaard, Daniel Hershcovich.

2 papers in our library · 2018–2021

OpenAlex · h-index 11 · 32 works · 324 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 68 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #4948

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

🎓UCLouvainLouvain-la-Neuve · Belgium2026 · 1 papercurrent🎓Uppsala UniversityUppsala · Sweden2019–2023 · 17 papers🎓University of CopenhagenCopenhagen · Denmark2018–2021 · 8 papers🎓University of GroningenGroningen · Netherlands2017–2018 · 3 papers🎓Massachusetts Institute of TechnologyCambridge · United States2019–2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksAtomic and Molecular Physics, and Optics · 1 workExperimental and Cognitive Psychology · 1 workPhysics and Astronomy · 1 workPsychology · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workUniversal Dependencies · 1 work

 Works by year

2020s

20211 paperArtur Kulmizev's papers of 2021

2010s

20181 paperArtur Kulmizev's papers of 2018

 Papers

The most cited first (OpenAlex and our library).

  1. Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color (2021 · 119 citations)
    It is an open question whether language models trained only on text capture structure grounded in human perception, rather than only relational facts.
  2. What can we learn from Semantic Tagging? (2018 · 11 citations)
    The authors test whether semantic tagging helps other NLP tasks when used as an auxiliary task in multi-task learning (MTL).

All works

4 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. Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in ColorConference on Computational Natural Language Learning (CoNLL)Mostafa Abdou, Artur Kulmizev, Daniel Hershcovich, et al.2021 · 119 citations
  2. What can we learn from Semantic Tagging?Conference on Empirical Methods in Natural Language Processing (EMNLP)Mostafa Abdou, Artur Kulmizev, Vinit Ravishankar, et al.2018 · 11 citations
  3. How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetKushal Tatariya et al.2026 · 6 citations
  4. Label and Explanation Variation in LLM-Based Annotation: a Case Study in Natural Language Inference ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetArtur Kulmizev et al.2026 · 2 citations

 Co-authors here

8 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 68 times (of the 141,840 papers whose bibliographies we read); 2 citing papers with a page here →.

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