Drug–drug Interaction Extraction
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Benchmarks
Most implemented
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets
A Dataset for N-ary Relation Extraction of Drug Combinations
Papers
MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning
Objective: To optimize in-context learning in biomedical natural language processing by improving example selection. Methods: We introduce a novel multi-mode retrieval-augmented generation (MMRAG) framework, which integr…
DiversityDrug–drug Interaction ExtractionIn-Context Learningnamed-entity-recognition+8CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions
Examining Drug-Drug Interactions (DDIs) is a pivotal element in the process of drug development. DDIs occur when one drug's properties are affected by the inclusion of other drugs. Detecting favorable DDIs has the potent…
DecoderDrug–drug Interaction ExtractionGraph LearningMocFormer: A Two-Stage Pre-training-Driven Transformer for Drug-Target Interactions Prediction
Drug-target interactions (DTIs) is essential for advancing pharmaceuticals. Traditional drug-target interaction studies rely on labor-intensive laboratory techniques. Still, recent advancements in computing power have el…
Drug–drug Interaction ExtractionEnd-to-End $n$-ary Relation Extraction for Combination Drug Therapies
Combination drug therapies are treatment regimens that involve two or more drugs, administered more commonly for patients with cancer, HIV, malaria, or tuberculosis. Currently there are over 350K articles in PubMed that …
ArticlesDrug–drug Interaction ExtractionRelationRelation Classification+1Integrating Heterogeneous Domain Information into Relation Extraction: A Case Study on Drug-Drug Interaction Extraction
The development of deep neural networks has improved representation learning in various domains, including textual, graph structural, and relational triple representations. This development opened the door to new relatio…
Drug–drug Interaction ExtractionLink PredictionRelationRelation Extraction+2A Dataset for N-ary Relation Extraction of Drug Combinations
Combination therapies have become the standard of care for diseases such as cancer, tuberculosis, malaria and HIV. However, the combinatorial set of available multi-drug treatments creates a challenge in identifying effe…
Drug–drug Interaction ExtractionRelationRelation ExtractionSentence