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Project | KEEPHA

Duration:

Knowledge-Enhanced information Extraction across languages for PHArmacovigilance

Application fields

KEEPHA is a trilateral DFG Project, together with partners from France (LIMSI/LISN) and Japan (NAIST, NII, RIKEN). The present project aims to design Artificial Intelligence (AI) methods that automatically digest these different types of text sources and jointly extract such knowledge and observations in order to populate existing knowledge bases. Our project showcases these methods in the domain of pharmacovigilance, which endeavors to maintain up-to-date knowledge on adverse drug reactions (ADRs) for the benefit of public health. In this domain, authoritative sources include scientific journals and drug labels while elementary observations are reported in patient records and social media.

Partners

DFKI, LIMSI/LISN, NAIST, NII, RIKEN

Publications

All publications
  1. Overview of the 10th Social Media Mining for Health (# SMM4H) and Health Real-World Data (HeaRD) Shared Tasks at ICWSM 2025

    Ari Z Klein; Tirthankar Dasgupta; Lauren Gryboski; Sudeshna Jana; Sedigh Khademi; Guillermo Lopez-Garcia; Diego Mazzotti; Takeshi Onishi; Jeanne Powell; Lisa Raithel; Swati Rajwal; Roland Roller; Abeed Sarker; Manjira Sinha; Philippe Thomas; Elena Tutubalina; Dongfang Xu; Pierre Zweigenbaum; Graciela Gonzalez-Hernandez

    In: Workshop Proceedings of the 19th International AAAI Conference on Web and Social Media. AAAI Press. Social Media Mining for Health (SMM4H) and Health Real-World Data (HeaRD) (SMM4H-2025), 2025.

Funding Authorities

DFG - German Research Foundation

DFG - German Research Foundation