Transformer architectures are highly expressive because they use self-attention
mechanisms to encode long-range dependencies in the input sequences. In this paper, we …

The growth of the Internet has expanded the amount of data expressed by users across
multiple platforms. The availability of these different worldviews and individuals' emotions …

Diagnosing mental disorders is complex due to the genetic, environmental and
psychological contributors and the individual risk factors. Language markers for mental …

Most of the models proposed in the literature for abstractive summarization are generally
suitable for the English language but not for other languages. Multilingual models were …

When applying automated speech recognition (ASR) for Belgian Dutch, the output consists
of an unsegmented stream of words, without any punctuation. A next step is to perform …

Understanding the diagnostic goal of medical reports is valuable information for
understanding patient flows. This work focuses on extracting the reason for taking an MRI …

Methods: A set of 2,349 labelled feedback comments of five healthcare educational
programs in Flanders (Belgium)(specialistic medicine, general practice, midwifery, speech …

Accurate data analysis is an important part of data-driven financial audits. Given the
increased data availability and various systems from which audit files are generated, RCSFI …

The spread of deceiving content on social media platforms is a growing concern amongst
scholars, policymakers, and the public at large. We examine the extent to which influential …

Background Natural language processing (NLP) models such as bidirectional encoder
representations from transformers (BERT) hold promise in revolutionizing disease …