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Editorial da Edição Especial da CCS2024

Lillebø, Ana; Disterheft, Antje; Curado, António; Loureiro, António; Santos, Joaquim; Sousa, José Luís; Alves, Júlia; Neves, Luis; Barros, Manuel

O presente número especial resulta da 6.ª edição da Conferência Campus Sustentável (CCS2024), organizada pela Universidade de Aveiro e promovida anualmente pela Rede Campus Sustentável, sob o tema “Ações transformativas da academia com a sociedade para implementação dos Objetivos de Desenvolvimento Sustentável”. Este volume reúne contributos que refletem o objetivo da conferência: mobilizar conhecimento, prátic...


Long-Acting Reversible Contraception in Primary Care: A Cross-Sectional Study o...

De Almeida, Ana Beatriz; De Sá Monteiro, Ana Sofia; Bertoluci Brito, Daniel; Gouveia, Pedro; Santos, Joaquim; Macedo, Rosa Zulmira

Long-acting reversible contraceptives (LARC) are recommended as first-line methods due to high efficacy and safety. Family Medicine (FM) physicians are ideally positioned to provide counseling and LARC-related services; however, their implementation in primary care is hindered by multiple constraints. The aim of this nationwide cross-sectional study was to characterize family planning practices among FM physici...

Data: 2026   |   Origem: Acta Médica Portuguesa

HiDaFernPT: Historical data of spore availability for 121 fern and lycopod taxa...

Timóteo, Sérgio; Heleno, Ruben; Covelo, Filipe Manuel Ferreira Rodrigues; Santos, Joaquim; Lopes, Pedro; Carmo Gouveia, António; Matos, Arménio

Species phenology is being altered by ongoing climate changes with yet underappreciated consequences for ecological processes and ecosystem stability. Contrary to what happens with some key life events of flowering plants, comparatively little information exists about fern and lycophyte phenology and how it is affected by the current climatic changes. In part, this stems from the lack of long-term datasets. Her...


Annotating, analysing and learning named entities in Portuguese historical text...

Vieira, Renata; Olival, Fernanda; Cameron, Helena; Farrica, Fátima; Santos, Joaquim; Reyes, Daniel

This article presents a study based on 18th-century Portuguese texts, focusing on the analysis of named entities to enhance their value for historical research. For that, an annotated corpus was developed using a primary source (the Parish Memories), which was transcribed, revised, and standardised. The distribution of named entities in the source was then analysed to reflect on the variations in the defined ca...

Data: 2025   |   Origem: Linguamática

Assessing European and Brazilian Portuguese LLMs for NER in Specialised Domains

Nunes, Rafael Oleques; Santos, Joaquim; Spritzer, André; Balreira, Dennis G.; Freitas, Carla M. Dal Sasso; Olival, Fernanda; Cameron, Helena Freire

This paper discusses the impact of Portuguese variants in Large Language Models for the task of named entity recognition (NER) in specialised domains. The tests were made on a Brazilian Portuguese le gal and a European Portuguese historical corpora. The models taken into account are BERTimbau (PT-BR), Albertina (PT-PT and PT-BR), and XML-R (multilingual). The impact was more evident in the Portuguese historical...


Anotação, análise e aprendizagem de Entidades Nomeadas em textos históricos por...

Vieira, Renata; Olival, Fernanda; Cameron, Helena; Santos, Joaquim; Reyes, Daniel

Este artigo apresenta um estudo baseado em textos portugueses do século XVIII, através da análise de entidades nomeadas, tendo em vista potenciá-las para análise histórica. Para isso foi elaborado um corpus anotado, a partir de uma fonte (Memórias Paroquiais) transcrita, revista e normalizada. Posteriormente, realizou-se uma análise da distribuição das entidades nomeadas na fonte em apreço, para refletir sobre ...


Assessing European and Brazilian Portuguese LLMs for NER in Specialised Domains

Nunes, Rafael; Santos, Joaquim; Balreira, Dennis; Freitas, Carla; Olival, Fernanda; Cameron, Helena; Vieira, Renata

This paper discusses the impact of Portuguese variants in Large Language Models for the task of named entity recognition (NER) in specialised domains. The tests were made on a Brazilian Portuguese legal and a European Portuguese historical corpora. The models taken into account are BERTimbau (PT-BR), Albertina (PT-PT and PT-BR), and XML-R (multilingual). The impact was more evident in the Portuguese historical ...


Open Science Community Coimbra: cocriação do plano mestre

Almeida, Inês A. T.; Miguéis, Ana Eva; Santos-Carvalho, Ana; Direito, Bruno; Domingues, Catarina; Santos, Joaquim; Noro, Jorge; Ferreira, Licínia

A Ciência Aberta (CA) envolve um conjunto de princípios e práticas que permite que os diferentes resultados da investigação se tornem mais acessíveis, transparentes, fiáveis e inclusivos, aumentando a qualidade de produção de conhecimento, a reutilização dos resultados e o impacto na sociedade. A adoção de princípios e práticas da CA implica uma profunda mudança cultural particularmente difícil de implementar n...


O armário: Fruiting phenology data for 4,462 plant taxa in Portugal (1926-2013)

Heleno, Ruben; Costa, Jose M.; Covelo, Filipe Manuel Ferreira Rodrigues; Santos, Joaquim; Lopes, Pedro; Gouveia, António C; Matos, Arménio

Species phenology - the timing of key life events - is being altered by ongoing climate changes with yet underappreciated consequences for ecosystem stability. While flowering is generally occurring earlier, we know much less about other key processes such as the time of fruit ripening, largely due to the lack of comprehensive long-term datasets. Here we provide information on the exact date and site where seed...


Named entity recognition specialised for Portuguese 18th century History research

Santos, Joaquim; Vieira, Renata; Olival, Fernanda; Cameron, Helena; Farrica, Fatima

This paper presents the construction of a corpus and the respective models learned for the Named Entity Recognition (NER) task, specialised for historical research. The entity categories were adapted based on the objectives of the historical analysis of the 18th-century text. We trained and evaluated traditional neural networks and the new Large Language Models (LLMs) for the NER task. In total, we assessed six...


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