214 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Benedita Malheiro2 profiles6 · h 14
- Fátima Leal2 profiles6 · h 11
- Silvia García-Méndez6 · h 13
- Francisco de Arriba-Pérez2 profiles4 · h 9
- Bruno Veloso3 · h 13
- J. C. Burguillo3 · h 22
- J. C. Burguillo-Rial3 · h 5
- Jorge Oliveira3 · h 9
- M. Coimbra3 · h 26
- A. Elola2 · h 16
- A. H. R. Costa2 profiles2 · h 4
- Alexandre Alcoforado2 · h 3
- INESC TECPT10 papers
- Polytechnic Institute of PortoPT6 papers
- Universidade de VigoES6 papers
- Universidade do PortoPT5 papers
- Emory UniversityUS2 papers
- Georgia Institute of TechnologyUS2 papers
- Télécom ParisFR2 papers
- Universidade de São PauloBR2 papers
- University of the Basque CountryES2 papers
- Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transportCA1 paper
- Centro de Estudos e Sistemas Avançados do RecifeBR1 paper
- Columbia UniversityUS1 paper
5 papers · 1 filter
Unraveling Emotions with Pre-Trained Models
Alejandro Pajón-Sanmartín, Francisco De Arriba-Pérez, Silvia García-Méndez +3
Transformer models have significantly advanced the field of emotion recognition. However, there are still open challenges when exploring open-ended queries for Large Language Model…
Simulation, Modelling and Classification of Wiki Contributors: Spotting The Good, The Bad, and The Ugly
Silvia García Méndez, Fátima Leal, Benedita Malheiro +4
Data crowdsourcing is a data acquisition process where groups of voluntary contributors feed platforms with highly relevant data ranging from news, comments, and media to knowledge…
Interpretable classification of wiki-review streams
Silvia García Méndez, Fátima Leal, Benedita Malheiro +1
Wiki articles are created and maintained by a crowd of editors, producing a continuous stream of reviews. Reviews can take the form of additions, reverts, or both. This crowdsourci…
Exposing and Explaining Fake News On-the-Fly
Francisco de Arriba-Pérez, Silvia García-Méndez, Fátima Leal +2
Social media platforms enable the rapid dissemination and consumption of information. However, users instantly consume such content regardless of the reliability of the shared data…
ZeroBERTo: Leveraging Zero-Shot Text Classification by Topic Modeling
Alexandre Alcoforado, Thomas Palmeira Ferraz, Rodrigo Gerber +5
Traditional text classification approaches often require a good amount of labeled data, which is difficult to obtain, especially in restricted domains or less widespread languages.…