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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 1–10 of 27 papers

TitleStatusHype
MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning—0
CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions—0
MocFormer: A Two-Stage Pre-training-Driven Transformer for Drug-Target Interactions PredictionCode0
End-to-End n-ary Relation Extraction for Combination Drug TherapiesCode0
Integrating Heterogeneous Domain Information into Relation Extraction: A Case Study on Drug-Drug Interaction Extraction—0
A Dataset for N-ary Relation Extraction of Drug CombinationsCode1
SSI–DDI: Substructure–Substructure Interactions for Drug–Drug Interaction PredictionCode1
SciFive: a text-to-text transformer model for biomedical literatureCode1
ELECTRAMed: a new pre-trained language representation model for biomedical NLPCode1
EGFI: Drug-Drug Interaction Extraction and Generation with Fusion of Enriched Entity and Sentence InformationCode1
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