🧑‍🔬 Jens Van Nooten

🏛️ Affiliations

🎓University of AntwerpAntwerp · Belgium2022–2026 · 4 papersEmployment · Linguisticscurrent

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. MTEB-NL and E5-NL: Embedding Benchmark and Models for Dutch (2026 · 4 citations)
   Dutch has only a small share of the data inside multilingual embedding resources, and it had no broad benchmark or strong dedicated embedding models.
2. bLLeQA: Benchmarking LLMs for Grounded Legal Question-Answering in French and Dutch (2026)
   Legal question-answering tools could make the law easier to reach for ordinary people. However, evaluation data for retrieval-augmented generation (RAG) in civil-law settings and smaller languages such as Dutch is rare. The authors extend the French LLeQA dataset into bLLeQA, a parallel French–Dutch benchmark built…
3. Push and Pull: Training Sentence Encoders with Contrastive Losses for Distance-Based Multi-Label Text Classification (2026)
   Distance-based classification (DBC) decides whether a label fits a text by comparing their embeddings with cosine similarity.

All works

5 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. Improving Dutch Vaccine Hesitancy Monitoring via Multi-Label Data Augmentation with GPT-3.5 ↗Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis · no summary yetJens Van Nooten, Walter Daelemans2023 · 16 citations
2. CoNTACT: A Dutch COVID-19 Adapted BERT for Vaccine Hesitancy and Argumentation Detection ↗Proceedings of the 29th International Conference on Computational Linguistics · no summary yetJens Lemmens et al.2022 · 7 citations
3. MTEB-NL and E5-NL: Embedding Benchmark and Models for DutchFindings of the Association for Computational LinguisticsNikolay Banar, Ehsan Lotfi, Jens Van Nooten, et al.2026 · 4 citations
4. bLLeQA: Benchmarking LLMs for Grounded Legal Question-Answering in French and DutchWorkshop on Towards Knowledgeable Foundation ModelsNikolay Banar, Ehsan Lotfi, Jens Van Nooten, et al.2026
5. Push and Pull: Training Sentence Encoders with Contrastive Losses for Distance-Based Multi-Label Text ClassificationLanguage Resources and Evaluation Conference (LREC)Jens Van Nooten, Andriy Kosar2026

🤝 Co-authors here

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

• Ehsan Lotfi ×2
• Marija Kliocaite ×2
• Nikolay Banar ×2
• Walter Daelemans ×2

Venues

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

• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• Workshop on Towards Knowledgeable Foundation Models: Workshop on Towards Knowledgeable Foundation Models 2026
• Language Resources and Evaluation Conference (LREC): LREC 2026
• Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis
• Proceedings of the 29th International Conference on Computational Linguistics

🔗 Cited by

Papers of our library cite their works 12 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated 1 November 2026

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