MUC5 '93 Proceedings of the 5th conference on Message understanding
Using a shallow linguistic kernel for drug-drug interaction extraction
Journal of Biomedical Informatics
Bioinformatics
DTMBIO 2013: international workshop on data and text mining in biomedical informatics
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Two approaches have been commonly used for recognizing Drug Name Entities in biomedical texts: machine learning-based and domain specific resources-based approaches. In this work we focus on the second one by combining (1) a dictionary-based approach that collects terms from different pharmacological data sources such as DrugBank, MeSH, RxNorm and ATC index; and (2) an ontology-based approach that maps each text unit of a source text into one or more domain-specific concepts, providing rich semantic knowledge of domain name entities using Metamap and Mgrep analyzer. The aim is to take advantage of the best of each resource used. The combined system obtains an F1 measure of 0, 667 over exact matching span evaluation.