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It's hard to think of current technologies or innovations that do not resort to Language Models (LM) or Natural Language Processing (NLP). Their presence in various society domains - some with significant relevance, like the legal or healthcare sectors - raise issues (and concerns) that often end up focusing on the same question: are LM-based technologies reaching all communities? Recently, two scientific papers featuring INESC TEC - both accepted at AAAI, an A* conference - sought to address some of the challenges in this new era, which directly influence the Portuguese language.
28th February 2025
The seasonality of search queries in search engines could be a factor for online businesses to consider if they seek to improve the ranking of their results. A new demo-paper featuring INESC TEC explored the creation of a database to present the Occasion-aware Recommender solution.
26th February 2025
The main goal of the PTicola project was to expand and build new Natural Language Processing (NLP) capabilities for the Portuguese language. The results of this project - which include, for example, an English/European Portuguese translator and a PT-BR/PT-PT language variety identifier - address the gap in NLP resources available for PT-PT compared to PT-BR.
14th February 2025
It is called ECML PKDD - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases -, and it is the largest European conference in machine learning. The event, promoted by INESC TEC, will take place between September 15 and 19, 2025, in Porto; the submission of papers is open until March.
09th January 2025
35 years separate the beginning and the end of the teaching career of João Gama, one of the most-cited scientists in the world. The INESC TEC researcher, who presented his Last Lecture on November 25, said “goodbye” to the classrooms of the Faculty of Economics of the University of Porto (FEP). The motto? "Where do We Come From? Where are we going?” – the culmination of a recognised academic career, particularly in the fields of Artificial Intelligence (AI) and Machine Learning.
28th November 2024
Matías Molina, INESC TEC researcher in Artificial Intelligence, received the PAIS Outstanding Paper Award at the European Conference on Artificial Intelligence, one of the most relevant AI events in Europe and the world. The EMERITUS project was the basis for this work: INESC TEC is using AI to improve the investigation of environmental crimes.
14th November 2024
For the next four years, INESC TEC will lead an international consortium with a budget of €2.6M, aimed at using advanced techniques to measure environmental radioactivity. According to estimates, by 2028, new technological solutions will be available that can improve both climate research - particularly in estimating greenhouse gas emissions - and radiological protection for the population and the environment.
02nd October 2024
The Institute joined a European project that's developing a platform targeting police authorities and border guards, towards improving investigation competences when addressing environmental crimes. The Artificial Intelligence (AI) behind the platform is promoted by INESC TEC researchers.
26th February 2024
Digital transition, innovation, business empowerment, financing, disruptive technologies; and a certainty: 2024 will be a year of opportunities for companies that are willing to take risks. Close to 100 participants gathered at Palácio do Freixo to get to know ATTRACT project, coordinated by INESC TEC.
08th February 2024
An unsupervised approach that summarises and orders the main changes verified in two versions of the same document – this is the research work that earned Ricardo Campos, a researcher at INESC TEC, Adam Jatowt and Lukas Éder, researchers at the University of Innsbruck (Austria), the Best Demo Paper Award at CIKM'23 - ACM International Conference on Information and Knowledge Management.
10th November 2023
The paper "Event Extraction for Portuguese: A QA-driven Approach using ACE-2005" won the Best Student Paper Award at the 22nd Portuguese Conference on Artificial Intelligence (EPIA’23). This research work led to the development of an event extraction framework for the Portuguese language. The solution differs not only by targeting Portuguese texts, but by allowing (in addition to the identification and classification of event triggers) the extraction of the arguments associated with the event, namely participants and attributes.
29th September 2023
Over the next three years, João Gama, researcher at INESC TEC, will act as the editor-in-chief of JSDA – International Journal of Data Science and Analytics. This journal promotes the presentation and discussion of new trends and opportunities, and the exchange of ideas and practices, encouraging collaboration between domains towards leveraging the analysis and data science domains.
12th July 2023