Extracting drug-drug interactions from texts with BioBERT and multiple entity-aware attentions
- 1 June 2020
- journal article
- research article
- Published by Elsevier in Journal of Biomedical Informatics
- Vol. 106, 103451
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China
This publication has 15 references indexed in Scilit:
- Drug-drug interaction extraction from biomedical texts using long short-term memory networkJournal of Biomedical Informatics, 2018
- Drug–drug interaction extraction via hierarchical RNNs on sequence and shortest dependency pathsBioinformatics, 2017
- An attention-based effective neural model for drug-drug interactions extractionBMC Bioinformatics, 2017
- End-to-end Neural Coreference Resolution2017
- A graph kernel based on context vectors for extracting drug–drug interactionsJournal of Biomedical Informatics, 2016
- Extracting drug–drug interactions from literature using a rich feature-based linear kernel approachJournal of Biomedical Informatics, 2015
- DrugBank 4.0: shedding new light on drug metabolismNucleic Acids Research, 2013
- The DDI corpus: An annotated corpus with pharmacological substances and drug–drug interactionsJournal of Biomedical Informatics, 2013
- Extracting Drug-Drug Interaction from the Biomedical Literature Using a Stacked Generalization-Based ApproachPLOS ONE, 2013
- Adverse Drug Reactions and Drug Interactions as Causes of Hospital Admission in OncologyJournal of Pain and Symptom Management, 2011