Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content

no code implementations • IJCNLP 2019 • Sepideh Mesbah, Jie Yang, Robert-Jan Sips, Manuel Valle Torre, Christoph Lofi, Aless Bozzon, ro, Geert-Jan Houben

Social media provides a timely yet challenging data source for adverse drug reaction (ADR) detection.

Data Augmentation

Give It a Shot: Few-shot Learning to Normalize ADR Mentions in Social Media Posts

no code implementations • WS 2019 • Emmanouil Manousogiannis, Sepideh Mesbah, Aless Bozzon, ro, Selene Baez, Robert Jan Sips

This paper describes the system that team MYTOMORROWS-TU DELFT developed for the 2019 Social Media Mining for Health Applications (SMM4H) Shared Task 3, for the end-to-end normalization of ADR tweet mentions to their corresponding MEDDRA codes.

Entity Linking Few-Shot Learning +1