3 citations · 3 across the 4 of their papers we have counts for
3 papers · 1 filter
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…
Towards Improving the Performance of Pre-Trained Speech Models for Low-Resource Languages Through Lateral Inhibition
Andrei-Marius Avram, Răzvan-Alexandru Smădu, Vasile Păiş +3
With the rise of bidirectional encoder representations from Transformer models in natural language processing, the speech community has adopted some of their development methodolog…
Adversarial Capsule Networks for Romanian Satire Detection and Sentiment Analysis
Sebastian-Vasile Echim, Răzvan-Alexandru Smădu, Andrei-Marius Avram +2
Satire detection and sentiment analysis are intensively explored natural language processing (NLP) tasks that study the identification of the satirical tone from texts and extracti…