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Found 4 papers, 1 papers with code
Using Drug Descriptions and Molecular Structures for Drug-Drug Interaction Extraction from Literature
Specifically, we focus on drug description and molecular structure information as the drug database information.
Enhancing Drug-Drug Interaction Extraction from Texts by Molecular Structure Information
We propose a novel neural method to extract drug-drug interactions (DDIs) from texts using external drug molecular structure information.
Extracting Drug-Drug Interactions with Attention CNNs
We propose a novel attention mechanism for a Convolutional Neural Network (CNN)-based Drug-Drug Interaction (DDI) extraction model.
Integrating Heterogeneous Domain Information into Relation Extraction: A Case Study on Drug-Drug Interaction Extraction
The proposed model is trained and evaluated on a widely used data set, and as a result, it is shown that utilizing heterogeneous domain information significantly improves the performance of relation extraction from the literature.
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