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A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages
March 28, 2024, 4:42 a.m. | Lisa Raithel, Hui-Syuan Yeh, Shuntaro Yada, Cyril Grouin, Thomas Lavergne, Aur\'elie N\'ev\'eol, Patrick Paroubek, Philippe Thomas, Tomohiro Nishiyama
cs.LG updates on arXiv.org arxiv.org
Abstract: User-generated data sources have gained significance in uncovering Adverse Drug Reactions (ADRs), with an increasing number of discussions occurring in the digital world. However, the existing clinical corpora predominantly revolve around scientific articles in English. This work presents a multilingual corpus of texts concerning ADRs gathered from diverse sources, including patient fora, social media, and clinical reports in German, French, and Japanese. Our corpus contains annotations covering 12 entity types, four attribute types, and 13 …
abstract articles arxiv clinical cs.cl cs.lg data dataset data sources digital digital world discussions english french generated german however japanese languages multilingual scientific significance type work world
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