Drug–drug Interaction Extraction
14 papers with code • 3 benchmarks • 3 datasets
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 )
Benchmarks
These leaderboards are used to track progress in Drug–drug Interaction Extraction
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Libraries
Use these libraries to find Drug–drug Interaction Extraction models and implementations
DDI
Drug Combination Extraction Dataset
DrugBank
Most implemented papers
ELECTRAMed: a new pre-trained language representation model for biomedical NLP
The overwhelming amount of biomedical scientific texts calls for the development of effective language models able to tackle a wide range of biomedical natural language processing (NLP) tasks.
SciFive: a text-to-text transformer model for biomedical literature
In this report, we introduce SciFive, a domain-specific T5 model that has been pre-trained on large biomedical corpora.
End-to-End $n$-ary Relation Extraction for Combination Drug Therapies
Extracting combination therapies from scientific literature inherently constitutes an $n$-ary relation extraction problem.
MocFormer: A Two-Stage Pre-training-Driven Transformer for Drug-Target Interactions Prediction
Drug-target interactions (DTIs) is essential for advancing pharmaceuticals.
