A new synonym-substitution method to enrich the human phenotype ontology
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Abstract
Named entity recognition is critical for biomedical text mining, where it is not unusual to find entities labeled by a wide range of different terms. Nowadays, ontologies are one of the crucial enabling technologies in bioinformatics, providing resources for improved natural language processing tasks. However, biomedical ontology-based named entity recognition continues to be a major research problem.
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Taboada, M., Rodriguez, H., Gudivada, R.C. et al. A new synonym-substitution method to enrich the human phenotype ontology. BMC Bioinformatics 18, 446 (2017). https://doi.org/10.1186/s12859-017-1858-7
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https://doi.org/10.1186/s12859-017-1858-7Sponsors
The work was supported by National Institute of Health Carlos III (grant no. FIS2012-PI12/00373) and FEDER (European funding)
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© The Author(s). 2017. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated