2022
Authors
Garcia-Mendez, S; Leal, F; Malheiro, B; Burguillo-Rial, JC; Veloso, B; Chis, AE; Gonzalez-Velez, H;
Publication
SIMULATION MODELLING PRACTICE AND THEORY
Abstract
2022
Authors
Vasco, E; Veloso, B; Malheiro, B;
Publication
Advances in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection - 20th International Conference, PAAMS 2022, L'Aquila, Italy, July 13-15, 2022, Proceedings
Abstract
2022
Authors
Duarte, AJ; Malheiro, B; Silva, MF; Ferreira, PD; Guedes, PB;
Publication
Handbook of Research on Improving Engineering Education with the European Project Semester - Advances in Higher Education and Professional Development
Abstract
2022
Authors
Sousa, N; Oliveira, N; Praca, I;
Publication
SYSTEMS
Abstract
The Internet, much like our universe, is ever-expanding. Information, in the most varied formats, is continuously added to the point of information overload. Consequently, the ability to navigate this ocean of data is crucial in our day-to-day lives, with familiar tools such as search engines carving a path through this unknown. In the research world, articles on a myriad of topics with distinct complexity levels are published daily, requiring specialized tools to facilitate the access and assessment of the information within. Recent endeavors in artificial intelligence, and in natural language processing in particular, can be seen as potential solutions for breaking information overload and provide enhanced search mechanisms by means of advanced algorithms. As the advent of transformer-based language models contributed to a more comprehensive analysis of both text-encoded intents and true document semantic meaning, there is simultaneously a need for additional computational resources. Information retrieval methods can act as low-complexity, yet reliable, filters to feed heavier algorithms, thus reducing computational requirements substantially. In this work, a new search engine is proposed, addressing machine reading at scale in the context of scientific and academic research. It combines state-of-the-art algorithms for information retrieval and reading comprehension tasks to extract meaningful answers from a corpus of scientific documents. The solution is then tested on two current and relevant topics, cybersecurity and energy, proving that the system is able to perform under distinct knowledge domains while achieving competent performance.
2022
Authors
Ferreira, A; Almeida, J; Martins, A; Matos, A; Silva, E;
Publication
SENSORS
Abstract
2022
Authors
Silva, MF; Duarte, AJ; Ferreira, PD; Guedes, PB;
Publication
Handbook of Research on Improving Engineering Education with the European Project Semester - Advances in Higher Education and Professional Development
Abstract
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