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Ndapa Nakashole

Ndapa Nakashole has 2 papers in our library, in 2026, most of them on Language models & pretraining, Sentiment & emotion, Text generation.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 18 · 70 works · 2,030 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 168 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #11635

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

🎓University of California San DiegoSan Diego · United States2017–2026 · 36 papersEmploymentcurrent🎓Carnegie Mellon UniversityPittsburgh · United States2014–2023 · 11 papers🔬Max Planck Institute for InformaticsSaarbrücken · Germany2010–2013 · 9 papers🔬Max Planck SocietyMunich · Germany2009–2013 · 3 papers🎓University of Cape TownRondebosch · South Africa2007–2008 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 3Research subjects and languages the work is about.Text generation · 1 workLanguage models & pretraining · 1 workSentiment & emotion · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Grammar as Control: Modular Language Generation for the Long Tail (2026 · 1 citation)
    LLMs could help build language technology for underrepresented languages. Left unguided, though, they produce synthetic data that keeps repeating a few simple sentence patterns and misses much of a language's morphosyntax. Nakashole proposes a prompting approach called Modular Typology-Informed Generation (mTIG)…
  2. Sentiment Analysis and Language Models for Kwanyama (2026)
    Kwanyama is a Bantu language spoken by roughly 1.5 million people in northern Namibia and southern Angola. Before this work it had almost no computational resources: no embeddings, no pretrained models, and no labeled or raw corpora. The paper fills this gap with two openly released resources.

All works

5 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. Rethinking Self-Attention: Towards Interpretability in Neural Parsing ↗Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yetKhalil Mrini et al.2020 · 157 citations
  2. Fine-Grained Spoiler Detection from Large-Scale Review Corpora ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetMengting Wan et al.2019 · 137 citations
  3. NORMA: Neighborhood Sensitive Maps for Multilingual Word Embeddings ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetNakashole, Ndapa2018 · 68 citations
  4. Grammar as Control: Modular Language Generation for the Long TailAnnual Meeting of the Association for Computational Linguistics (ACL)Ndapa Nakashole2026 · 1 citation
  5. Sentiment Analysis and Language Models for KwanyamaLanguage Resources and Evaluation Conference (LREC)Ndapa Nakashole2026

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 168 times (of the 149,439 papers whose bibliographies we read); 16 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/ndapa-nakashole/