1 citations · 4 across the 12 of their papers we have counts for
5 papers · 1 filter
SeLeRoSa: Sentence-Level Romanian Satire Detection Dataset
Răzvan-Alexandru Smădu, Andreea Iuga, Dumitru-Clementin Cercel +1
Satire, irony, and sarcasm are techniques typically used to express humor and critique, rather than deceive; however, they can occasionally be mistaken for factual reporting, akin…
Multimodal Learning with Augmentation Techniques for Natural Disaster Assessment
Adrian-Dinu Urse, Dumitru-Clementin Cercel, Florin Pop
Natural disaster assessment relies on accurate and rapid access to information, with social media emerging as a valuable real-time source. However, existing datasets suffer from cl…
IGAff: Benchmarking Adversarial Iterative and Genetic Affine Algorithms on Deep Neural Networks
Sebastian-Vasile Echim, Andrei-Alexandru Preda, Dumitru-Clementin Cercel +1
Deep neural networks currently dominate many fields of the artificial intelligence landscape, achieving state-of-the-art results on numerous tasks while remaining hard to understan…
RoD-TAL: A Benchmark for Answering Questions in Romanian Driving License Exams
Andrei Vlad Man, Răzvan-Alexandru Smădu, Cristian-George Craciun +3
The intersection of AI and legal systems presents a growing need for tools that support legal education, particularly in under-resourced languages such as Romanian. In this work, w…
SaRoHead: Detecting Satire in a Multi-Domain Romanian News Headline Dataset
Mihnea-Alexandru Vîrlan, Răzvan-Alexandru Smădu, Dumitru-Clementin Cercel +2
The primary goal of a news headline is to summarize an event in as few words as possible. Depending on the media outlet, a headline can serve as a means to objectively deliver a su…