Extracting Food-Drug Interactions from Scientific Literature: Relation Clustering to Address Lack of Data
Extracting Food-Drug Interactions from Scientific Literature: Relation Clustering to Address Lack of Data
Tsanta Randriatsitohaina,Thierry Hamon
2019 · DOI: 10.1007/978-3-031-24337-0_13
Conference on Intelligent Text Processing and Computational Linguistics · 3 Citations
TLDR
This paper proposes an effective approach for grouping relations sharing similar representation into clusters and reducing the lack of examples in Food-Drug Interactions, and relies on the extraction of relevant features before, between, and after the entities associated by the relation.