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 global growth of social media usage over the past decade has opened research
avenues for mining health related information that can ultimately be used to improve public …

Intimate partner violence (IPV) is a preventable public health problem that affects millions of
people worldwide. Approximately one in four women are estimated to be or have been …

The aim of this paper is present and regroup 70 research works that have been done for
detecting Adverse Drug Events from social media. For each work, we focus on its …

Many research problems involving medical texts have limited amounts of annotated data
available (eg, expressions of rare diseases). Traditional supervised machine learning …

In this paper, we propose a method of mining tweets that represent reviews on celebrities by
the machine reading comprehension model based on BERT. The purpose of this paper is to …

Adherence to prescribed medication is essential for effective treatment, as medications work
only when taken as directed. Non-adherence poses a significant challenge to healthcare …

L'apprentissage profond est un outil prometteur pour détecter les menaces et les contenus
toxiques sur les plateformes en ligne. Ses capacités d'apprentissage automatique …