Increasing Adverse Drug Events extraction robustness on social media: case study on negation and speculation. (arXiv:2209.02812v1 [cs.CL])

In the last decade, an increasing number of users have started reporting
Adverse Drug Events (ADE) on social media platforms, blogs, and health forums.
Given the large volume of reports, pharmacovigilance has focused on ways to use
Natural Language Processing (NLP) techniques to rapidly examine these large
collections of text, detecting mentions of drug-related adverse reactions to
trigger medical investigations. However, despite the growing interest in the
task and the advances in NLP, the robustness of these models in face …

arxiv case case study events extraction media robustness social social media study