Skip to Main content Skip to Navigation
Conference papers

Automatic query selection for acquisition and discovery of food-drug interactions

Abstract : Food-drug interactions can profoundly impact desired and adverse effects of drugs, with unexpected and often harmful consequences on the health and well-being of patients. A growing body of scientific publications report clinically relevant food-drug interactions, but conventional search strategies based on handcrafted queries and indexing terms suffer from low recall. In this paper, we introduce a novel task called food-drug interaction discovery that aims to automatically identify scientific publications that describe food-drug interactions from a database of biomedical literature. We make use of an expert curated corpus of food-drug interactions to analyse different methods for query selection and we propose a high-recall approach based on feature selection.
Complete list of metadatas
Contributor : Limsi Publications <>
Submitted on : Tuesday, November 19, 2019 - 6:18:20 PM
Last modification on : Saturday, February 15, 2020 - 1:40:43 AM


  • HAL Id : hal-02371256, version 1


Georgeta Bordea, Franck Thiessard, Thierry Hamon, Fleur Mougin. Automatic query selection for acquisition and discovery of food-drug interactions. Conference and Labs of the Evaluation Forum, Sep 2018, Avignon, France. ⟨hal-02371256⟩



Record views