The growing number of digitally accessible text corpora and the accelerating development of
NLP tools and methods (particularly the emergence of powerful large-scale language …

In recent years, the growth in size of Transformer-based language models has accelerated
significantly. Global technology companies are training larger and larger models that require …

Covert tobacco advertisements often raise regulatory measures. This paper presents that
artificial intelligence, particularly deep learning, has great potential for detecting hidden …

Few-shot learning is a deep learning subfield that is the focus of research nowadays. This
paper addresses the research question of whether a triplet-trained Siamese network, initially …

Due to healthcare systems increased focus on healthcare quality and patientcentered care,
the patients' perspective of delivered healthcare, has become an important part of …

This article presents the current outcomes of the CURLICAT CEF Telecom project, which
aims to collect and deeply annotate a set of large corpora from selected domains. The …

This paper describes our approach to the CRAC 2022 Shared Task on Multilingual
Coreference Resolution. Our model is based on a state-of-the-art end-to-end coreference …

Deep learning approaches are superior in natural language processing due to their ability to
extract informative features and patterns from languages. The two most successful neural …

This research paper presents findings from an investigation in the semantic similarity search
task within the legal domain, using a corpus of 1172 Hungarian court decisions. The study …

Sentiment analysis is a powerful tool to gain insight into the emotional polarity of
opinionated texts. Computerized applications can contribute to the establishment of …