Neural Vector Conceptualization for Word Vector Space Interpretation

1 code implementation • WS 2019 • Robert Schwarzenberg, Lisa Raithel, David Harbecke

Distributed word vector spaces are considered hard to interpret which hinders the understanding of natural language processing (NLP) models.

Cross-lingual Approaches for the Detection of Adverse Drug Reactions in German from a Patient's Perspective

1 code implementation • 3 Aug 2022 • Lisa Raithel, Philippe Thomas, Roland Roller, Oliver Sapina, Sebastian Möller, Pierre Zweigenbaum

In this work, we present the first corpus for German Adverse Drug Reaction (ADR) detection in patient-generated content.

Binary Classification Few-Shot Learning

A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages

2 code implementations • 27 Mar 2024 • Lisa Raithel, Hui-Syuan Yeh, Shuntaro Yada, Cyril Grouin, Thomas Lavergne, Aurélie Névéol, Patrick Paroubek, Philippe Thomas, Tomohiro Nishiyama, Sebastian Möller, Eiji Aramaki, Yuji Matsumoto, Roland Roller, Pierre Zweigenbaum

User-generated data sources have gained significance in uncovering Adverse Drug Reactions (ADRs), with an increasing number of discussions occurring in the digital world.

Attribute

Cross-lingual Approaches for the Detection of Adverse Drug Reactions in German from a Patient’s Perspective

1 code implementation • LREC 2022 • Lisa Raithel, Philippe Thomas, Roland Roller, Oliver Sapina, Sebastian Möller, Pierre Zweigenbaum

In this work, we present the first corpus for German Adverse Drug Reaction (ADR) detection in patient-generated content.

Binary Classification Few-Shot Learning