1 citations · 4 across the 12 of their papers we have counts for
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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…
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…
RoLargeSum: A Large Dialect-Aware Romanian News Dataset for Summary, Headline, and Keyword Generation
Andrei-Marius Avram, Mircea Timpuriu, Andreea Iuga +6
Using supervised automatic summarisation methods requires sufficient corpora that include pairs of documents and their summaries. Similarly to many tasks in natural language proces…
Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain Setups
Răzvan-Alexandru Smădu, David-Gabriel Ion, Dumitru-Clementin Cercel +2
Complex Word Identification (CWI) is an essential step in the lexical simplification task and has recently become a task on its own. Some variations of this binary classification t…
A Cross-Lingual Meta-Learning Method Based on Domain Adaptation for Speech Emotion Recognition
David-Gabriel Ion, Răzvan-Alexandru Smădu, Dumitru-Clementin Cercel +2
Best-performing speech models are trained on large amounts of data in the language they are meant to work for. However, most languages have sparse data, making training models chal…
Investigating the Impact of Semi-Supervised Methods with Data Augmentation on Offensive Language Detection in Romanian Language
Elena-Beatrice Nicola, Dumitru-Clementin Cercel, Florin Pop
Offensive language detection is a crucial task in today's digital landscape, where online platforms grapple with maintaining a respectful and inclusive environment. However, buildi…