Elamur Research⌕
☰
home / authors / Tomás Pinto

Tomás Pinto

Tomás Pinto has 2 papers in our library, in 2026, most of them on Information extraction, Language models & pretraining, Evaluation & benchmarks; often with Catarina Silva, Hugo Goncalo Oliveira.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 1 · 6 works · 2 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #12258

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 LisbonLisbon · Portugal2023–2026 · 2 paperscurrent🎓University of CoimbraCoimbra · Portugal2026 · 1 papercurrent

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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksBiochemistry, Genetics and Molecular Biology · 1 workMolecular Biology · 1 work

🧭 Topics 3Research subjects and languages the work is about.Information extraction · 2 worksEvaluation & benchmarks · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Evaluating Generative Large Language Models for Portuguese Scientific Information Extraction (2026)
    Scientific knowledge graphs (SciKGs) depend on reliable extraction of entities and relations from research papers.
  2. RelEx-PT: A Portuguese Sentence-Level Relation Extraction Dataset (2026)
    Portuguese relation extraction lacks clean, controlled benchmarks. Existing resources tend to cover narrow domains, are skewed toward a few relations, target multi-sentence contexts, or depend on costly manual annotation. The authors address this with RelEx-PT, a natively Portuguese dataset in which each sentence has…

 Co-authors here

2 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.

Updated

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