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Hugo Gonçalo Oliveira

Hugo Gonçalo Oliveira has 5 papers in our library, in 2026, most of them on Information extraction, Named entity recognition, Language models & pretraining; often with Catarina Silva, Tomás Pinto.

5 papers in our library · 2026

OpenAlex · h-index 0 · 7 works · 0 citations OpenAlex, 2026-10-14

📄 5 works in our library · ⭐ Paper Stars ranking: #11794

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 CoimbraCoimbra · Portugal2023–2026 · 2 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 10The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 5 worksComputer Science · 5 worksArts and Humanities · 3 worksLanguage and Linguistics · 3 worksBiochemistry, Genetics and Molecular Biology · 1 workComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 workLaw · 1 workMolecular Biology · 1 workSocial Sciences · 1 work

🧭 Topics 7Research subjects and languages the work is about.Information extraction · 2 worksEvaluation & benchmarks · 1 workInformation retrieval & search · 1 workLanguage models & pretraining · 1 workLegal AI · 1 workNamed entity recognition · 1 workQuestion answering · 1 work

 Works by year

2020s

20265 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Benchmarking Retrieval-Augmented Generation for Scientific Knowledge QA in European Portuguese (2026)
    The paper asks whether retrieval-augmented generation helps small open language models answer scientific multiple-choice questions in European Portuguese (pt-PT), and how much the outcome depends on retrieval design.
  2. 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.
  3. Field of Science and Technology Classification of Academic Documents in Portuguese (2026)
    Academic repositories often have missing or wrong metadata. In Estudo Geral (EG), the University of Coimbra's repository, many theses have no OECD Field of Science and Technology (FOS) label. The authors treat FOS assignment for Portuguese theses as a five-class text classification problem. Agricultural Sciences is…
  4. Prompt Engineering for Named Entity Extraction from Portuguese Legal Documents (2026)
    Supervised NER for Portuguese legal texts is limited because annotated corpora are scarce and expensive to build.
  5. 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

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