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Nicholas Micallef

Nicholas Micallef has 2 papers in our library, in 2024–2026, most of them on Word sense disambiguation, Language models & pretraining, Evaluation & benchmarks; often with Julian Hough.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 11 · 68 works · 546 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 12 times in our library · ⭐ Paper Stars ranking: #9717

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

🎓Swansea UniversitySwansea · United Kingdom2024–2026 · 34 paperscurrent🎓New York University Abu DhabiAbu Dhabi · United Arab Emirates2020–2022 · 9 papers🎓Glasgow Caledonian UniversityGlasgow · United Kingdom2011–2015 · 6 papers🎓UNSW CanberraCanberra2017–2018 · 5 papers🎓Australian Defence Force AcademyCanberra · Australia2018–2019 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions 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.Word sense disambiguation · 2 worksEvaluation & benchmarks · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Can LLMs assist with Ambiguity? A Quantitative Evaluation of various Large Language Models on Word Sense Disambiguation (2024 · 11 citations)
    Large language models are tested here on Word Sense Disambiguation (WSD), especially for highly polysemous English words with many noun and verb senses, where classic supervised systems struggle because labelled data is scarce.
  2. SwanNLP at SemEval-2026 Task 5: An LLM-based Framework for Plausibility Scoring in Narrative Word Sense Disambiguation (2026 · 1 citation)
    This paper describes the SwanNLP system for SemEval-2026 Task 5. The task asks systems to predict how plausible humans find a given sense of a homonym inside a short story, on a 1–5 scale. The data come from the AmbiStory dataset. Each instance has a multi-sentence precontext, an ambiguous sentence and sometimes an…

 Co-authors here

1 co-author 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 12 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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