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Drug–drug Interaction Extraction

Automatic extraction of Drug-drug interaction (DDI) information from the biomedical literature.

( Image credit: Using Drug Descriptions and Molecular Structures for Drug-Drug Interaction Extraction from Literature )

Papers

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Showing 11–20 of 27 papers

TitleStatusHype
MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning—0
WBI-DDI: Drug-Drug Interaction Extraction using Majority Voting—0
A graph kernel based on context vectors for extracting drug–drug interactions—0
CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions—0
Drug-Drug Adverse Effect Prediction with Graph Co-Attention—0
Drug-drug Interaction Extraction via Recurrent Neural Network with Multiple Attention Layers—0
Drug–drug interaction extraction via hierarchical RNNs on sequence and shortest dependency paths—0
Enhancing Drug-Drug Interaction Extraction from Texts by Molecular Structure Information—0
Exploiting the Scope of Negations and Heterogeneous Features for Relation Extraction: A Case Study for Drug-Drug Interaction Extraction—0
Extracting drug–drug interactions from literature using a rich feature-based linear kernel approach—0
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