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Tina Munda

Tina Munda has 2 papers in our library, in 2025–2026, most of them on Word sense disambiguation, Machine translation, Sentiment & emotion; often with Federico Martelli, Niccolò Campolungo, Roberto Navigli.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 2 · 41 works · 8 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 9 times in our library · ⭐ Paper Stars ranking: #9842

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 LjubljanaLjubljana · Slovenia2022–2026 · 16 paperscurrent🔬Jožef Stefan InstituteLjubljana · Slovenia2021–2026 · 4 paperscurrent🎓Jožef Stefan International Postgraduate SchoolLjubljana · Slovenia2021–2026 · 3 paperscurrent

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 7The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksGeneral Social Sciences · 1 workLiterature and Literary Theory · 1 workSocial Sciences · 1 work

🧭 Topics 4Research subjects and languages the work is about.Evaluation & benchmarks · 1 workMachine translation · 1 workWord sense disambiguation · 1 workSentiment & emotion · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. DiBiMT: A Gold Evaluation Benchmark for Studying Lexical Ambiguity in Machine Translation (2025 · 11 citations)
    Machine translation systems often mistranslate ambiguous words, especially when a word is used in one of its rarer senses.
  2. Benchmarking LLMs for Aspect-Based Sentiment Classification in Slovene Historical Periodicals (2026)
    The paper asks whether instruction-tuned LLMs, used without supervised fine-tuning, can judge sentiment toward specific targets in noisy OCR text from historical Slovene newspapers.

 Co-authors here

4 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 9 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated

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