HunEmBERT: A Fine-Tuned BERT-Model for Classifying Sentiment and Emotion in Political Communication. - István Üveges; Orsolya Ring (IEEE Access, 2023)

Can Triplet Loss Be Used for Multi-Label Few-Shot Classification? A Case Study. - Gergely Márk Csányi; Renátó Vági; Andrea Megyeri; Anna Fülöp; Dániel Nagy; János Pál Vadász; István Üveges (Inf., 2023)

From Fact Drafts to Operational Systems: Semantic Search in Legal Decisions Using Fact Drafts. - Gergely Márk Csányi; Dorina Lakatos; István Üveges; Andrea Megyeri; János Pál Vadász; Dániel Nagy; Renátó Vági (Big Data Cogn. Comput., 2024)

"Approaches to sentiment analysis of Hungarian political news at the sentence level". - Orsolya Ring; Martina Katalin Szabó; Csenge Guba; Bendegúz Váradi; István Üveges (Lang. Resour. Evaluation, 2024)