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Andiswa Bukula

Andiswa Bukula has 2 papers in our library, in 2022–2025, most of them on Named entity recognition, Language models & pretraining, Evaluation & benchmarks; often with David Ifeoluwa Adelani, Jesujoba Alabi, Chester Palen-Michel.

2 papers in our library · 2022–2025

OpenAlex · ORCID · h-index 6 · 28 works · 153 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 304 times in our library · 1 more in our library without a page yet · ⭐ Paper Star rank #4572

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

🎓Pennsylvania State UniversityState College · United States2025–2026 · 2 paperscurrent🎓North-West UniversityPotchefstroom · South Africa2022–2025 · 7 papers

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

 Concepts, shelves and topics

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

📚 Shelves 4 Artificial Intelligence · 2 works Arts and Humanities · 2 works Computer Science · 2 works Language and Linguistics · 2 works

🧭 Topics 3 Named entity recognition · 1 work Evaluation & benchmarks · 1 work Language models & pretraining · 1 work

 Works by year

2020s

20251 paperIrokoBench: A New Benchmark for African Languages in the Age of Large Language Models20221 paperMasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition

 Papers

The most cited first (OpenAlex and our library).

  1. MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition (2022 · 150 citations)
    African languages have over a billion speakers but very few annotated NER resources, and it is unclear which source language to use when transferring models across languages.
  2. IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models (2025 · 69 citations)
    Large language models are usually tested in English and a few other well-resourced languages. When African languages are tested at all, it is mostly on simple classification, so we know little about how well models reason or recall knowledge in them. The authors built IrokoBench to fill this gap. Professional…

All works

3 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. MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity RecognitionDavid Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder, et al.Conference on Empirical Methods in Natural Language Processing (EMNLP) · 150 citations
  2. IrokoBench: A New Benchmark for African Languages in the Age of Large Language ModelsDavid Ifeoluwa Adelani, Jessica Ojo, Israel Abebe Azime, et al.Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) · 69 citations
  3. AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages · original ↗ · no summary yet · Proceedings of the 2024 Conference of the North American Chapter of the…Jiayi Wang et al.2024 · 39 citations

 Co-authors here

12 of 15 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 304 times (of the 141,840 papers whose bibliographies we read); 24 citing papers with a page here →.

Updated

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