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Beyond accuracy: creating interoperable and scalable text-mining web services
2016
Bioinformatics
The biomedical literature is a knowledge-rich resource and an important foundation for future research. With over 24 million articles in PubMed and an increasing growth rate, research in automated text processing is becoming increasingly important. We report here our recently developed web-based text mining services for biomedical concept recognition and normalization. Unlike most text-mining software tools, our web services integrate several state-of-the-art entity tagging systems (DNorm,
doi:10.1093/bioinformatics/btv760
pmid:26883486
pmcid:PMC4908316
fatcat:52xqglwccbdl5nkrjuhwoav6bu